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Journal articles on the topic 'Binary stochastic system'

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1

Fu, Kewei, Han-Fu Chen, and Wenxiao Zhao. "Distributed system identification for linear stochastic systems with binary sensors." Automatica 141 (July 2022): 110298. http://dx.doi.org/10.1016/j.automatica.2022.110298.

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2

Shier, D. R., E. J. Valvo, and R. E. Jamison. "Generating the states of a binary stochastic system." Discrete Applied Mathematics 37-38 (July 1992): 489–500. http://dx.doi.org/10.1016/0166-218x(92)90153-2.

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3

Petuhov, Sergey. "MUSIC, UNIVERSALS OF GENOMIC DNAs, GENETIC INTELLIGENCE, AND THE CONCEPT OF A STOCHASTIC SYSTEM OF PROTOREGULATION." Medicine and Art 1, no. 2 (2023): 40–57. http://dx.doi.org/10.60042/2949-2165-2023-1-2-40-57.

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This work is devoted to the structural links between the musical harmony of the Pythagorean fifth scales and the system of hydrogen bonds in genetic molecules DNAs. Hidden regularities in the stochastic organization of hydrogen bond sequences in the genomic DNAs of higher and lower organisms have been discovered. The regularities described are candidates for the role of universal regularities of biological evolution. An idea is advanced on the fundamental role of stochastic regularities in the genetically inherited organization of biological bodies. In the presented study, the author's method
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4

Wu, Chengjin, Qing Jiao, and Feng Tian. "Aperiodic Stochastic Resonance in the Fractional-Order Bistable System." Fluctuation and Noise Letters 19, no. 02 (2019): 2050014. http://dx.doi.org/10.1142/s0219477520500145.

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The aperiodic stochastic resonance (ASR) in the bistable fractional-order system is further studied when the fractional-order lies in the interval (0, 2). In previous works, the ASR can only process aperiodic binary signal with large pulse width. However, for the signal with small pulse width, the method cannot work. Actually, the signals with small pulse width are also common in the information transmission field. It greatly limits the application of the fractional stochastic resonance. Hence, we mainly focus on the enhancement of aperiodic binary signal with small pulse width. To solve the a
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5

Wu, Dan Hui. "The Application Research of Detecting Weak Random Binary Code Based on Stochastic Resonance." Applied Mechanics and Materials 65 (June 2011): 13–16. http://dx.doi.org/10.4028/www.scientific.net/amm.65.13.

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The phenomenon of stochastic resonance based on two-dimensional bistable Duffing system under the conditions of small signal is analyzed in this paper; the detection methods of faint random binary code based on stochastic resonance technique of Duffing system is presented, Using this method, under the conditions of no knowing detection signal any priori knowledge, the detection signal waveform can be estimated, what’s more, the ratio of signal to noise of detecting weak random binary code can be achieved -25dB below, and the computer simulation verifies the method effectiveness. As a result, t
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6

González, Luis. "Complex Stochastic Boolean Systems: Comparing Bitstrings with the Same Hamming Weight." Journal of Complex Systems 2014 (March 24, 2014): 1–9. http://dx.doi.org/10.1155/2014/428418.

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A complex stochastic Boolean system (CSBS) is a complex system depending on an arbitrarily large number n of random Boolean variables. CSBSs arise in many different areas of science and engineering. A proper mathematical model for the analysis of such systems is based on the intrinsic order: a partial order relation defined on the set 0,1n of all binary n-tuples of 0s and 1s. The intrinsic order enables one to compare the occurrence probabilities of two given binary n-tuples with no need to compute them, simply looking at the relative positions of their 0s and 1s. Regarding the analysis of CSB
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7

López-Magaña, Carlos, Jorge Rivera, Susana Ortega-Cisneros, Federico Sandoval-Ibarra, and Juan Luis Del Valle. "A Reduced Hardware SNG for Stochastic Computing." Electronics 12, no. 16 (2023): 3383. http://dx.doi.org/10.3390/electronics12163383.

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Stochastic Computing (SC) is an alternative way of computing with binary weighted words that can significantly reduce hardware resources. This technique relies on transforming information from a conventional binary system to the probability domain in order to perform mathematical operations based on probability theory, where smaller amounts of binary logic elements are required. Despite the advantage of computing with reduced circuitry, SC has a well known issue; the input interface known as stochastic number generator (SNG), is a hardware consuming module, which is disadvantageous for small d
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8

Iyer, Srinivas. "Asymptotic performance of a multistate coherent system." Advances in Applied Probability 20, no. 1 (1988): 241–43. http://dx.doi.org/10.2307/1427281.

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An expression for the asymptotic or steady-state performance function is derived for a multistate coherent system when each component changes states in time according to a semi-Markov process, the stochastic processes being mutually independent. This generalizes the expression for system availability of a binary coherent system when the components are governed by mutually independent alternating renewal processes.
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9

Iyer, Srinivas. "Asymptotic performance of a multistate coherent system." Advances in Applied Probability 20, no. 01 (1988): 241–43. http://dx.doi.org/10.1017/s000186780001805x.

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An expression for the asymptotic or steady-state performance function is derived for a multistate coherent system when each component changes states in time according to a semi-Markov process, the stochastic processes being mutually independent. This generalizes the expression for system availability of a binary coherent system when the components are governed by mutually independent alternating renewal processes.
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10

GONZÁLEZ, LUIS. "ALGORITHM COMPARING BINARY STRING PROBABILITIES IN COMPLEX STOCHASTIC BOOLEAN SYSTEMS USING INTRINSIC ORDER GRAPH." Advances in Complex Systems 10, supp01 (2007): 111–43. http://dx.doi.org/10.1142/s0219525907001136.

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This paper deals with a special kind of complex systems which depend on an arbitrary (and usually large) number n of random Boolean variables. The so-called complex stochastic Boolean systems often appear in many different scientific, technical or social areas. Clearly, there are 2n binary states associated to such a complex system. Each one of them is given by a binary string u = (u1,…,un) ∈ {0, 1}n of n bits, which has a certain occurrence probability Pr {u}. The behavior of a complex stochastic Boolean system is determined by the current values of its 2n binary n-tuple probabilities Pr {u}
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11

Deugoue, Gabriel, Boris Jidjou Moghomye, and Theodore Tachim Medjo. "Splitting-up scheme for the stochastic Cahn–Hilliard Navier–Stokes model." Stochastics and Dynamics 21, no. 01 (2020): 2150005. http://dx.doi.org/10.1142/s0219493721500052.

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In this paper, we consider a stochastic Cahn–Hilliard Navier–Stokes system in a bounded domain of [Formula: see text] [Formula: see text]. The system models the evolution of an incompressible isothermal mixture of binary fluids under the influence of stochastic external forces. We prove the existence of a global weak martingale solution. The proof is based on the splitting-up method as well as some compactness method.
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12

Kharchenko, D. O., P. K. Galenko, and V. G. Lebedev. "Deterministic and Stochastic Dynamics in Spinodal Decomposition of a Binary System." Uspehi Fiziki Metallov 10, no. 1 (2009): 27–102. http://dx.doi.org/10.15407/ufm.10.01.027.

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13

Wang, Wei-Ping. "Binary-Oscillator Networks: Bridging a Gap between Experimental and Abstract Modeling of Neural Networks." Neural Computation 8, no. 2 (1996): 319–39. http://dx.doi.org/10.1162/neco.1996.8.2.319.

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This paper proposes a simplified oscillator model, called binary-oscillator, and develops a class of neural network models having binary-oscillators as basic units. The binary-oscillator has a binary dynamic variable v = ±1 modeling the “membrane potential” of a neuron, and due to the presence of a “slow current” (as in a classical relaxation-oscillator) it can oscillate between two states. The purpose of the simplification is to enable abstract algorithmic study on the dynamics of oscillator networks. A binary-oscillator network is formally analogous to a system of stochastic binary spins (at
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14

Xuhui, Bu, Zhang Hongwei, Song YunZhong, and Yu Fashan. "H∞ILC Design for Discrete Linear Systems with Packet Dropouts and Iteration-Varying Disturbances." Discrete Dynamics in Nature and Society 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/587323.

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AnH∞iterative learning controller is designed for networked systems with intermittent measurements and iteration-varying disturbances. By modeling the measurement dropout as a stochastic variable satisfying the Bernoulli random binary distribution, the design can be transformed intoH∞control of a 2D stochastic system described by Roesser model. A sufficient condition for mean-square asymptotic stability andH∞disturbance attenuation performance for such 2D stochastic system is established by means of linear matrix inequality (LMI) technique, and formulas can be given for the control law design
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15

Gera, Prerna, and David Salac. "Stochastic phase segregation on surfaces." Royal Society Open Science 4, no. 8 (2017): 170472. http://dx.doi.org/10.1098/rsos.170472.

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Phase separation and coarsening is a phenomenon commonly seen in binary physical and chemical systems that occur in nature. Often, thermal fluctuations, modelled as stochastic noise, are present in the system and the phase segregation process occurs on a surface. In this work, the segregation process is modelled via the Cahn–Hilliard–Cook model, which is a fourth-order parabolic stochastic system. Coarsening is analysed on two sample surfaces: a unit sphere and a dumbbell. On both surfaces, a statistical analysis of the growth rate is performed, and the influence of noise level and mobility is
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16

Nikitin, Aleksandr, and Dmitrij Postnov. "Noise-induced transport of Brownian particles in system with spatially periodic flashing potencial." Izvestiya VUZ. Applied Nonlinear Dynamics 5, no. 6 (1998): 21–28. http://dx.doi.org/10.18500/0869-6632-1997-5-6-21-28.

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In the present paper the problems of nonlinear Brownian motion ш а periodic non-symmetric flashing potential (ratchet) are considered. The analytical result and the result of analogue simulation are compared. Plots of average velocity versus frequercy are explained for periodic and stochastic (the binary noise) laws of potential flashing.
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17

ROUSSEAU, DAVID, JULIO ROJAS VARELA, FABING DUAN, and FRANÇOIS CHAPEAU-BLONDEAU. "EVALUATION OF A NONLINEAR BISTABLE FILTER FOR BINARY SIGNAL DETECTION." International Journal of Bifurcation and Chaos 15, no. 02 (2005): 667–79. http://dx.doi.org/10.1142/s0218127405012193.

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We consider the nonlinear bistable dynamic system that is the archetypal system giving way to the phenomenon of stochastic resonance for noise-improved signal processing. Independently of a strict stochastic resonance effect, we use this bistable system as a nonlinear filter for a detection task on a binary signal. We expose a methodology to tune the nonlinear filter at its best performance that minimizes its probability of detection error. The optimally tuned nonlinear filter is then compared to the ideal matched filter, which is the optimal filter for the detection with Gaussian noise. We sh
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18

HUANG, YONG, and GANG TAO. "A FEEDBACK CONTROL STRATEGY FOR AIRFOIL FLUTTER UNDER RANDOM EXCITATION." Fluctuation and Noise Letters 12, no. 03 (2013): 1350013. http://dx.doi.org/10.1142/s0219477513500132.

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In this paper, a study was conducted regarding the stability of a binary airfoil under stochastic disturbances with feedback control. A new stochastic controller has been developed and investigated via Monte Carlo simulation. In order to design the new controller, the original system is transformed to the second-order moment one. Then the optimal control parameters can be obtained by searching for the effectual control parameters in the second-order moment system. Finally, the numerical simulations are included to visualize the good performances in flutter suppression.
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19

Sa-nguansin, Suchittra. "Bit corruption correlation and autocorrelation in a stochastic binary nano-bit system." Journal of the Korean Physical Society 65, no. 7 (2014): 1001–9. http://dx.doi.org/10.3938/jkps.65.1001.

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20

Bhattacharya, Sukanto. "Mathematical modelling of a generalized securities market as a binary, stochastic system." Journal of Statistics and Management Systems 4, no. 2 (2001): 137–45. http://dx.doi.org/10.1080/09720510.2001.10701033.

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21

Shye, Samuel, and Ido Haber. "Risk as Challenge: A Dual System Stochastic Model for Binary Choice Behavior." Applied Economics and Finance 7, no. 2 (2020): 33. http://dx.doi.org/10.11114/aef.v7i2.4714.

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Challenge Theory (CT) is a new approach to decision under risk that departs significantly from expected utility and is based firmly on psychological, rather than economic, assumptions. The paper demonstrates that a purely cognitive-psychological paradigm for decision under risk can yield excellent predictions, comparable to those attained by more complex economic or psychological models that remain attached to conventional economic constructs and assumptions. The study presents a new model for predicting the popularity of choices made in binary risk problems.A CT-based regression model is test
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22

NAGARAJ, NITHIN. "HUFFMAN CODING AS A NONLINEAR DYNAMICAL SYSTEM." International Journal of Bifurcation and Chaos 21, no. 06 (2011): 1727–36. http://dx.doi.org/10.1142/s0218127411029392.

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In this paper, source coding or data compression is viewed as a measurement problem. Given a measurement device with fewer states than the observable of a stochastic source, how can one capture their essential information? We propose modeling stochastic sources as piecewise-linear discrete chaotic dynamical systems known as Generalized Luröth Series (GLS) which has its roots in Georg Cantor's work in 1869. These GLS are special maps with the property that their Lyapunov exponent is equal to the Shannon's entropy of the source (up to a constant of proportionality). By successively approximating
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23

Godivier, Xavier, and François Chapeau-Blondeau. "Stochastic Resonance in the Information Capacity of a Nonlinear Dynamic System." International Journal of Bifurcation and Chaos 08, no. 03 (1998): 581–89. http://dx.doi.org/10.1142/s0218127498000371.

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We consider a nonlinear bistable dynamic system governed by the quartic potential with two-state quantization at the output — the earliest system to have revealed the phenomenon of periodic stochastic resonance. We devise a scheme in which this system is used to transmit a broadband aperiodic informative signal. With this scheme, we demonstrate that the system can be operated as a memoryless symmetric binary channel, and we develop the characterization of the transmission up to the evaluation of the input–output information capacity of this channel. We show that a regime exists where the infor
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24

KRAWIECKI, A., A. SUKIENNICKI, and R. A. KOSIŃSKI. "STOCHASTIC RESONANCE IN COUPLED THRESHOLD ELEMENTS WITH INPUT SIGNALS SHIFTED IN PHASE." International Journal of Modern Physics B 14, no. 08 (2000): 837–52. http://dx.doi.org/10.1142/s0217979200000686.

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Stochastic resonance in a system of two coupled threshold elements (neurons) forming a small artificial neural network is investigated. The elements have either antisymmetric or logistic (binary) response function and are driven by periodic signals and independent noises. Periodic signals at their inputs have equal amplitudes and frequencies but are shifted in phase. Depending on the response function and the phase shift, enhancement of stochastic resonance in individual elements, characterized by the output signal-to-noise ratio, and stochastic resonance with a spatiotemporal input signal, ch
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25

Serero, D., N. Gunkelmann, and T. Pöschel. "Hydrodynamics of binary mixtures of granular gases with stochastic coefficient of restitution." Journal of Fluid Mechanics 781 (September 28, 2015): 595–621. http://dx.doi.org/10.1017/jfm.2015.501.

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A hydrodynamic description of dilute binary gas mixtures comprising smooth inelastic spheres interacting by binary collisions with a random coefficient of restitution is presented. Constitutive relations are derived using the Chapman–Enskog perturbative method, associated with a computer-aided method to allow high-order Sonine polynomial expansions. The transport coefficients obtained are checked against DSMC simulations. The resulting equations are applied to the analysis of a vertically vibrated system. It is shown that differences in the shape of the distributions of the coefficient of rest
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An, Seongmo, Jongwon Oh, Sangho Lee, et al. "Lightweight and Error-Tolerant Stereo Matching with a Stochastic Computing Processor." Electronics 13, no. 11 (2024): 2024. http://dx.doi.org/10.3390/electronics13112024.

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Stereo matching, utilized in diverse fields, poses a challenge to systems in resource-constrained environments due to the significant growth of computational load with image resolution. The challenge is crucial for the systems because fields utilizing stereo matching require short operational time for real-time applications and low power architecture. Stochastic computing (SC) is able to be a valuable approach to address the challenge by reducing the computational load by representing binary numbers with stochastic sequences, which are encoded as a probability value, and by leveraging the conc
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27

Hu, D. L., and X. B. Liu. "Moment Lyapunov Exponent and Stochastic Stability of Binary Airfoil under Combined Harmonic and Non-Gaussian Colored Noise Excitations." Fluctuation and Noise Letters 17, no. 02 (2018): 1850010. http://dx.doi.org/10.1142/s0219477518500104.

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Both periodic loading and random forces commonly co-exist in real engineering applications. However, the dynamic behavior, especially dynamic stability of systems under parametric periodic and random excitations has been reported little in the literature. In this study, the moment Lyapunov exponent and stochastic stability of binary airfoil under combined harmonic and non–Gaussian colored noise excitations are investigated. The noise is simplified to an Ornstein-Uhlenbeck process by applying the path-integral method. Via the singular perturbation method, the second-order expansions of the mome
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28

Yan, Ruixia, Zhong Wu, and Jinliang Liu. "Network-BasedH∞Filter Design for Linear System with Random Delays." Mathematical Problems in Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/340890.

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This paper investigates the filtering problem for a class of network-based systems with random network-induced delays. The considered random delay between the sensor and the filter is assumed to be satisfying a certain stochastic characteristic. Considering the probability of the delay taking value in different intervals, a stochastic variable satisfying Bernoulli random binary distribution is introduced and a new system model is established by employing the information of the probability distribution. By using a properly constructed Lyapunov function, sufficient conditions for the existence o
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29

Chabir, Karim, Taouba Rhouma, Jean Yves Keller, and Dominique Sauter. "State Filtering for Networked Control Systems Subject to Switching Disturbances." International Journal of Applied Mathematics and Computer Science 28, no. 3 (2018): 473–82. http://dx.doi.org/10.2478/amcs-2018-0036.

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Abstract State estimation of stochastic discrete-time linear systems subject to unknown inputs has been widely studied, but few works take into account disturbances switching between unknown inputs and constant biases. We show that such disturbances affect a networked control system subject to deception attacks on the control signals transmitted by the controller to the plant via unreliable networks. This paper proposes to estimate the switching disturbance from an augmented state version of the intermittent unknown input Kalman filter. The sufficient stochastic stability conditions of the obt
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30

Tian, Heng, Fuhai Duan, Liang Fan, and Yong Sang. "Fault diagnostic strategy of multivalued attribute system based on growing algorithm." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 233, no. 2 (2018): 235–45. http://dx.doi.org/10.1177/1748006x18770356.

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Traditionally, fault diagnostic strategy is used to obtain the optimal test sequence for binary systems. Actually, a lot of systems are not binary systems, such as multivalued attribute systems. Traditional algorithms generating the test sequence for binary systems and multivalued attribute systems select tests, and then identify and isolate the failure states based on the outcomes of tests. In this study, a novel diagnostic strategy for multivalued attribute system is introduced. This strategy chooses failure states and then finds a suitable test set for the selected failure states. This can
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31

Fang, Shuai, Zhimin Li, and Tianwei Jiang. "Event-Based Dissipative Fuzzy Tracking Control for Nonlinear Networked Systems with Dynamic Quantization and Stochastic Deception Attacks." Processes 13, no. 6 (2025): 1902. https://doi.org/10.3390/pr13061902.

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This paper investigates the event-triggered dissipative fuzzy tracking control problem of nonlinear networked systems with dynamic quantization and stochastic deception attacks, where the Takagi–Sugeno (T-S) fuzzy system theory is utilized to represent the studied nonlinear networked systems. The event-triggered scheme and the dynamic quantization scheme with general online adjustment rule are employed to significantly decrease the data transmission amount and achieve the rational use of the limited communication and computation resources. A stochastic variable satisfying the Bernoulli random
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Xuhui, Bu, Wang Hongqi, Zheng Zheng, and Qian Wei. "H∞Control for Network-Based 2D Systems with Missing Measurements." Abstract and Applied Analysis 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/786128.

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The problem ofH∞control for network-based 2D systems with missing measurements is considered. A stochastic variable satisfying the Bernoulli random binary distribution is utilized to characterize the missing measurements. Our attention is focused on the design of a state feedback controller such that the closed-loop 2D stochastic system is mean-square asymptotic stability and has an H∞disturbance attenuation performance. A sufficient condition is established by means of linear matrix inequalities (LMIs) technique, and formulas can be given for the control law design. The result is also extende
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Su, Yi-Zhu, and Wei-Chang Yeh. "Binary-Addition Tree Algorithm-Based Resilience Assessment for Binary-State Network Problems." Electronics 9, no. 8 (2020): 1207. http://dx.doi.org/10.3390/electronics9081207.

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Applications in real life are composed of different kinds of network systems; these networks may be interfered by uncontrollable or unpredictable disruptive events involving natural disasters, human errors, evil-intentioned attacks, or other disturbances. Any of these disruptive events will cause networks to malfunction and possibly result in large economic losses. As a result, it is important to assess network resilience which is a measure to describe how a network system recovers its performance and functionality to a satisfactory level from a disruptive event. Inspired by the measures of re
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Wu, Guoqiang, Jianwei Zhang, and Yuguang Bai. "Robust Filtering for Networked Stochastic Systems Subject to Sensor Nonlinearity." Mathematical Problems in Engineering 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/868174.

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The problem of network-based robust filtering for stochastic systems with sensor nonlinearity is investigated in this paper. In the network environment, the effects of the sensor saturation, output quantization, and network-induced delay are taken into simultaneous consideration, and the output measurements received in the filter side are incomplete. The random delays are modeled as a linear function of the stochastic variable described by a Bernoulli random binary distribution. The derived criteria for performance analysis of the filtering-error system and filter design are proposed which can
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35

Xu, Zhen, and Shudan Zheng. "An evolutionary game-theoretic analysis of the "multi-agent co-governance" system of unfair competition on internet platforms." PLOS ONE 19, no. 6 (2024): e0304445. http://dx.doi.org/10.1371/journal.pone.0304445.

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The increasingly prominent issue of unfair competition on Internet platforms (IPUC) severely restricts the healthy and sustainable development of the platform economy. Based on the IPUC "multi-agent co-governance" scenario, this paper introduces stochastic disturbances and continuous strategy set to improve the classical binary deterministic evolutionary game system. The results show that after considering stochastic disturbances, the positive state corresponding to the equilibrium point (1,1) is no longer stable, and the required parameter conditions are more stringent. The IPUC "multi-agent
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Ji, Hui, Songlin Nie, and Yeqing Huang. "An interval-fuzzy two-stage stochastic programming method for filter management of hydraulic systems." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 229, no. 15 (2014): 2788–809. http://dx.doi.org/10.1177/0954406214563737.

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An interval-fuzzy two-stage stochastic programming model for filter management of hydraulic system under uncertainties is proposed in this paper. The interval-fuzzy two-stage stochastic programming model integrates the two-stage stochastic programming, fuzzy programming, and interval parameter nonlinear programming into an optimization model of contamination control in hydraulic system. For a typical hydraulic system, it can be used for expressing the uncertainties existed in the purchase cost of filters, contamination ingression and generation rates, and contamination-holding capacity as prob
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37

Shafir, Uriel, and Ronnie Kosloff. "Wave Function Realization of a Thermal Collision Model." Entropy 24, no. 12 (2022): 1808. http://dx.doi.org/10.3390/e24121808.

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An efficient algorithm to simulate dynamics of open quantum system is presented. The method describes the dynamics by unraveling stochastic wave functions converging to a density operator description. The stochastic techniques are based on the quantum collision model. Modeling systems dynamics with wave functions and modeling the interaction with the environment with a collision sequence reduces the scale of the complexity significantly. The algorithm developed can be implemented on quantum computers. We introduce stochastic methods that exploit statistical characteristics of the model such as
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38

Gertsbakh, Ilya B., Yoseph Shpungin, and Radislav Vaisman. "D-SPECTRUM AND RELIABILITY OF A BINARY SYSTEM WITH TERNARY COMPONENTS." Probability in the Engineering and Informational Sciences 30, no. 1 (2015): 25–39. http://dx.doi.org/10.1017/s0269964815000261.

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We consider a monotone binary system with ternary components. “Ternary” means that each component can be in one of three states: up, middle (mid) and down. Handling such systems is a hard task, even if a part of the components have no mid state. Nevertheless, the permutation Monte Carlo methods, that proved very useful for dealing with binary components, can be efficiently used also for ternary monotone systems. It turns out that for “ternary” system there also exists a combinatorial invariant by means of which it becomes possible to count the number C(r;x) of system failure sets which have a
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39

Lenoir-Craig, G., N. St-Louis, A. F. J. Moffat та H. Pablo. "Precision photometric monitoring from space of the multiple system θ Muscae including the WR binary WR48". Monthly Notices of the Royal Astronomical Society 506, № 3 (2021): 4465–72. http://dx.doi.org/10.1093/mnras/stab1939.

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ABSTRACT Θ Mus = HD 113904 is a massive multiple system containing the WC5/6 + O6/7V binary WR48 in a $19.1\, \mathrm{ d}$ circular orbit. Previous attempts to constrain the variable photometric properties of this binary subsystem have been thwarted by the dominating stochastically variable light from a 10-times brighter blue supergiant (BSG), located only 46 mas away. Even now, with extensive optical space-based photometry from one of the BRITE-Constellation satellites, we were unable to beat down the intrinsic stochastic variability from the BSG enough to provide a convincing detection of a
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Jackson, Ilya, Jurijs Tolujevs, and Tobias Reggelin. "The Combination of Discrete-Event Simulation and Genetic Algorithm for Solving the Stochastic Multi-Product Inventory Optimization Problem." Transport and Telecommunication Journal 19, no. 3 (2018): 233–43. http://dx.doi.org/10.2478/ttj-2018-0020.

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Abstract The paper describes an eventual combination of discrete-event simulation and genetic algorithm to define the optimal inventory policy in stochastic multi-product inventory systems. The discrete-event model under consideration corresponds to the just-in-time inventory control system with a flexible reorder point. The system operates under stochastic demand and replenishment lead time. The utilized genetic algorithm is distinguished for a non-binary chromosome encoding, uniform crossover and two mutation operators. The paper contains a detailed description of the optimization technique
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Petrovich Pashintsev, Vladimir, Igor Anatolyevich Kalmykov, Aleksandr Pavlovich Zhuk, Dmitrii Viktorovich Orel, and Elena Pavlovna Zhuk. "Formation Algorithms and Properties of Binary Quasi-Orthogonal Code Sequence of Modern Satellite Systems." International Journal of Engineering & Technology 7, no. 4.38 (2018): 1205. http://dx.doi.org/10.14419/ijet.v7i4.38.27763.

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Increased number of threats to user interface of navigation signals, mainly in the form of suppression of navigation signals by jamming as well as navigation signal spoofing by false signals, assumes development of counter measures including improvement of structure security of navigation signals on the basis of stochastic use of code sequences which are ranging codes. This article proves the required number of unique discrete code sequences which can improve structure security of navigation signal in global navigation satellite system upon their stochastic use. Properties of discrete quasi-or
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SUN, SHUIFA, and SAM KWONG. "STOCHASTIC RESONANCE SIGNAL PROCESSOR: PRINCIPLE, CAPACITY ANALYSIS AND METHOD." International Journal of Bifurcation and Chaos 17, no. 02 (2007): 631–39. http://dx.doi.org/10.1142/s0218127407017495.

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In this letter, a signal processor based on the bistable aperiodic stochastic resonance (ASR), that can be used to detect the base-band binary pulse amplitude modulation (PAM) signal transmitting over an additive white Gaussian noise (AWGN) channel, is studied. The principle of the ASR signal processor is analyzed and the information capacity of such a communication system is evaluated by the Bit Error Ratio (BER) and the bit rate, according to the well-known Shannon information theory. The roles played by the noise on this capacity are analyzed. It is observed that keeping the bit rate unchan
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LI, JIANLONG, and BOHOU XU. "BINARY INFORMATION PROCESSING VIA PARAMETER-INDUCED STOCHASTIC RESONANCE IN THE PRESENCE OF MULTIPLICATIVE AND ADDITIVE COLORED NOISE WITH COLORED CROSS-CORRELATION." International Journal of Bifurcation and Chaos 16, no. 02 (2006): 427–35. http://dx.doi.org/10.1142/s0218127406014903.

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In the presence of multiplicative and additive colored noise with colored cross-correlation, a method of parameter-induced aperiodic stochastic resonance (SR) for baseband binary pulse amplitude modulated (PAM) signal processing is investigated in detail. Firstly, the dynamic bit error rate (DBER) is defined by the nonstationary solution of the Fokker–Planck equation (FPE). Because the output probability densities of the nonlinear system are unsymmetrical, the decision level of the binary signal is decided by minimizing DBER. Then we take this minimal DBER (MDBER) as a quantity to optimize in
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Kochanska, Iwona. "Assessment of Wide-Sense Stationarity of an Underwater Acoustic Channel Based on a Pseudo-Random Binary Sequence Probe Signal." Applied Sciences 10, no. 4 (2020): 1221. http://dx.doi.org/10.3390/app10041221.

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The performances of Underwater Acoustic Communication (UAC) systems are strongly related to the specific propagation conditions of the underwater channel. Designing the physical layer of a reliable data transmission system requires a knowledge of channel characteristics in terms of the specific parameters of the stochastic model. The Wide-Sense Stationary Uncorrelated Scattering (WSSUS) assumption simplifies the stochastic description of the channel, and thus the estimation of its transmission parameters. However, shallow underwater channels may not meet the WSSUS assumption. This paper propos
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More, Anant R., Wankhede Vishal A., and M. S. G. Prasad. "Optimize Transmission of Image over Integrated Mobile WiMAX and WiLAN Network." International Journal of Engineering & Technology 7, no. 2.17 (2018): 17. http://dx.doi.org/10.14419/ijet.v7i2.17.11706.

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The problem of multiuser downlink resource allocation in Mobile WiMAX system was studied. Three different network scenarios considered for the transmission of image data. Resource allocation is done using Active Set Optimization and Genetic Algorithm, for all the three network scenarios. Simulation results show that information fed back and association among subcarriers play vital role to improve system performance. As compared to reduced complexity, resource allocation using Active Set Optimization and Genetic Algorithm seems especially attractive as the number of users increases for Image Da
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Kuznetsov, Borys I., Ihor V. Bovdui, Olena V. Voloshko, Tetyana B. Nikitina, and Borys B. Kobylianskyi. "Multicriteria Optimization of Stochastic Robust Control of the Tracking System." Journal of Mechanical Engineering 27, no. 3 (2024): 53–64. http://dx.doi.org/10.15407/pmach2024.03.053.

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A multicriteria optimization of stochastic robust control with two degrees of freedom of a tracking system with anisotropic regulators has been developed to increase accuracy and reduce sensitivity to uncertain object parameters. Such objects are located on a moving base, on which sensors for angles, angular velocities and angular accelerations are installed. Improvements in the accuracy of control with two degrees of freedom include closed-loop feedback control and open-loop feedback control through the use of reference and perturbation effects. The multicriteria optimization of the stochasti
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Ding, Zhe Feng. "Anti-Jamming Performance Simulation of PN-LFM Combined Ranging System." Applied Mechanics and Materials 462-463 (November 2013): 159–64. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.159.

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The pseudo-random binary-phase code phase modulation and linear frequency modulation (PN-LFM) combined ranging system is a new detection system, which has proven to be powerful capacity in range resolution, velocity resolution and maximum range measurable without ambiguity. In this paper, we study the anti-jamming performance of the new ranging system, especially in the fractal stochastic noise environments. We analyze the impact mechanism of fractal noise on the PN-LFM detection system, and simulate the output of correlating detection. The cross correlation function, power spectrum function a
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Nuss, Dominik, Stephan Reuter, Markus Thom, et al. "A random finite set approach for dynamic occupancy grid maps with real-time application." International Journal of Robotics Research 37, no. 8 (2018): 841–66. http://dx.doi.org/10.1177/0278364918775523.

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Grid mapping is a well-established approach for environment perception in robotic and automotive applications. Early work suggests estimating the occupancy state of each grid cell in a robot’s environment using a Bayesian filter to recursively combine new measurements with the current posterior state estimate of each grid cell. This filter is often referred to as binary Bayes filter. A basic assumption of classical occupancy grid maps is a stationary environment. Recent publications describe bottom-up approaches using particles to represent the dynamic state of a grid cell and outline predicti
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Брусков, А. А. "The possibility of applying stochastic Petri nets to space systems for survivability analysis." Vestnik of Russian New University. Series «Complex systems: models, analysis, management», no. 3 (October 7, 2022): 11–20. http://dx.doi.org/10.18137/rnu.v9187.22.03.p.011.

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Исследуется возможность использования стохастических сетей Петри при анализе отказов и живучести в нескольких состояниях на примере космических систем. Анализ отказов с несколькими состояниями дает больше информации, чем традиционный бинарный анализ надежности о поведении системы при ухудшении состояния ее работы и продвижении к полному отказу. Анализ живучести фокусируется, среди прочего, на распространении сбоев в системе или сети, и после отказа узла или компонента оценивается, например, будет ли система испытывать постепенную деградацию или катастрофический отказ. In this paper, I explore
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Mori, Shintaro, Shogo Nakamura, Kazuaki Nakayama, and Masato Hisakado. "Phase Transition in Ant Colony Optimization." Physics 6, no. 1 (2024): 123–37. http://dx.doi.org/10.3390/physics6010009.

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Ant colony optimization (ACO) is a stochastic optimization algorithm inspired by the foraging behavior of ants. We investigate a simplified computational model of ACO, wherein ants sequentially engage in binary decision-making tasks, leaving pheromone trails contingent upon their choices. The quantity of pheromone left is the number of correct answers. We scrutinize the impact of a salient parameter in the ACO algorithm, specifically, the exponent α, which governs the pheromone levels in the stochastic choice function. In the absence of pheromone evaporation, the system is accurately modeled a
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