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Journal articles on the topic 'Ensemble controllability'

Author: Grafiati

Published: 8 June 2024

Last updated: 31 July 2025

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1

Kuritz, Karsten, Shen Zeng, and Frank Allgower. "Ensemble Controllability of Cellular Oscillators." IEEE Control Systems Letters 3, no. 2 (2019): 296–301. http://dx.doi.org/10.1109/lcsys.2018.2870967.

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2

Agrachev, Andrei, Yuliy Baryshnikov, and Andrey Sarychev. "Ensemble controllability by Lie algebraic methods." ESAIM: Control, Optimisation and Calculus of Variations 22, no. 4 (2016): 921–38. http://dx.doi.org/10.1051/cocv/2016029.

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3

Li, Jr-Shin, Wei Zhang, and Lin Tie. "On Separating Points for Ensemble Controllability." SIAM Journal on Control and Optimization 58, no. 5 (2020): 2740–64. http://dx.doi.org/10.1137/19m1278648.

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4

Danhane, Baparou, and Jérôme Lohéac. "Ensemble controllability of parabolic type equations." Systems & Control Letters 183 (January 2024): 105683. http://dx.doi.org/10.1016/j.sysconle.2023.105683.

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5

Beauchard, Karine, Jean-Michel Coron, and Pierre Rouchon. "Controllability Issues for Continuous-Spectrum Systems and Ensemble Controllability of Bloch Equations." Communications in Mathematical Physics 296, no. 2 (2010): 525–57. http://dx.doi.org/10.1007/s00220-010-1008-9.

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6

Gharesifard, Bahman, and Xudong Chen. "Structural Averaged Controllability of Linear Ensemble Systems." IEEE Control Systems Letters 6 (2022): 518–23. http://dx.doi.org/10.1109/lcsys.2021.3082762.

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7

Chen, Xudong. "Structure theory for ensemble controllability, observability, and duality." Mathematics of Control, Signals, and Systems 31, no. 2 (2019): 1–40. http://dx.doi.org/10.1007/s00498-019-0237-5.

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8

Zeng, Shen, and Frank Allgöwer. "A moment-based approach to ensemble controllability of linear systems." Systems & Control Letters 98 (December 2016): 49–56. http://dx.doi.org/10.1016/j.sysconle.2016.09.020.

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9

Chen, Xudong. "Controllability of continuum ensemble of formation systems over directed graphs." Automatica 108 (October 2019): 108497. http://dx.doi.org/10.1016/j.automatica.2019.108497.

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10

Chen, Xudong. "Controllability Issues of Linear Ensemble Systems over Multidimensional Parameterization Spaces." SIAM Journal on Control and Optimization 61, no. 4 (2023): 2425–47. http://dx.doi.org/10.1137/21m1418691.

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11

Zhong, Jie, Yang Liu, Kit Ian Kou, Liangjie Sun, and Jinde Cao. "On the ensemble controllability of Boolean control networks using STP method." Applied Mathematics and Computation 358 (October 2019): 51–62. http://dx.doi.org/10.1016/j.amc.2019.03.059.

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12

Augier, Nicolas, Ugo Boscain, and Mario Sigalotti. "Semi-conical eigenvalue intersections and the ensemble controllability problem for quantum systems." Mathematical Control & Related Fields 10, no. 4 (2020): 877–911. http://dx.doi.org/10.3934/mcrf.2020023.

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13

Helmke, Uwe, and Michael Schönlein. "Uniform ensemble controllability for one-parameter families of time-invariant linear systems." Systems & Control Letters 71 (September 2014): 69–77. http://dx.doi.org/10.1016/j.sysconle.2014.05.015.

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14

Robin, Rémi, Nicolas Augier, Ugo Boscain, and Mario Sigalotti. "Ensemble qubit controllability with a single control via adiabatic and rotating wave approximations." Journal of Differential Equations 318 (May 2022): 414–42. http://dx.doi.org/10.1016/j.jde.2022.02.042.

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15

Selezneva, M. S. "Control of the Selection Criteria of the Self-Organization Algorithm in the Problems of Correcting the Navigation Systems of Maneuverable Aircraft." Mekhatronika, Avtomatizatsiya, Upravlenie 24, no. 12 (2023): 660–68. http://dx.doi.org/10.17587/mau.24.660-668.

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The problem of constructing models with the desired properties, which are used in the algorithmic support of the sighting and navigation complex of the aircraft, has been studied. The quality of the used mathematical models largely determines the accuracy of the correction of the sighting and navigation system, therefore it is proposed to build models directly during the flight using some evolutionary algorithm. For example, using a self-organization algorithm. The ensemble of selection criteria for the self-organization algorithm includes various criteria that determine the properties of the

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16

Belhadj, Mohamed, Julien Salomon, and Gabriel Turinici. "Ensemble controllability and discrimination of perturbed bilinear control systems on connected, simple, compact Lie groups." European Journal of Control 22 (March 2015): 23–29. http://dx.doi.org/10.1016/j.ejcon.2014.12.003.

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17

El-Kenawy, El-Sayed M. El, Abdelhameed Ibrahim, Abdelaziz A. Abdelhamid, Mohamed Saber, and Marwa M. Eid. "Metaheuristic Optimized Voting Ensemble for Recognizing Daily and Sports Activities." Journal of Artificial Intelligence and Metaheuristics 2, no. 2 (2022): 08–17. http://dx.doi.org/10.54216/jaim.020201.

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This research analyzes the effectiveness of several methods for categorizing human actions captured by inertial and magnetic sensor units worn on the chest, arms, and legs. Each device has tri-axial sensors, including a gyroscope, accelerometer, and magnetometer. Voting ensemble classification models, where votes are weighted and optimized with a new optimization technique, are offered as a means to actualize this classification problem. The optimization technique is a combination of the sine cosine and particle swarm optimization algorithms, and the ensemble model is made up of three classifi

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18

Cervi, Eric, Xuefei Lu, Antonio Cammi, Francesco Di Maio, and Enrico Zio. "Sensitivity-Analysis-Driven Surrogate Model for Molten Salt Reactors Control." Journal of Nuclear Engineering 3, no. 4 (2022): 277–94. http://dx.doi.org/10.3390/jne3040016.

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The numerical analysis for the controllability assessment of a new design nuclear reactor is typically carried out by means of complex multiphysics codes, solving high fidelity partial differential equations governing the system neutronics as well as the fluid dynamics. Multiphysics codes deliver very accurate solutions at the expense of high computational times, which could be of several hours depending on the specific case study. In this work, to efficiently reduce runtimes, a sensitivity analysis (SA) is carried out to identify the most important input parameters affecting the solution of a

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19

Vunnava, Dinesh Babu, and Malathi Karunakaran. "Large dataset partitioning using ensemble partition-based clustering with majority voting technique." Large dataset partitioning using ensemble partition-based clustering with majority voting technique 29, no. 2 (2023): 838–44. https://doi.org/10.11591/ijeecs.v29.i2.pp838-844.

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Large datasets have become useful in data mining for processing, storing, and handling vast amounts of data. However, handling and processing large datasets is time-consuming and memory intensive. As a result, the researchers adopted a partitioning strategy to improve controllability and performance and reduce the time and memory required to handle large datasets. Unfortunately, the numerous clustering techniques available in the literature could confuse experts in choosing the best techniques for a given dataset. Furthermore, no clustering technique can tackle all problems, such as cluster st

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20

Babu, Vunnava Dinesh, and Karunakaran Malathi. "Large dataset partitioning using ensemble partition-based clustering with majority voting technique." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 2 (2023): 838. http://dx.doi.org/10.11591/ijeecs.v29.i2.pp838-844.

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<span lang="EN-US">Large datasets have become useful in data mining for processing, storing, and handling vast amounts of data. However, handling and processing large datasets is time-consuming and memory intensive. As a result, the researchers adopted a partitioning strategy to improve controllability and performance and reduce the time and memory required to handle large datasets. Unfortunately, the numerous clustering techniques available in the literature could confuse experts in choosing the best techniques for a given dataset. Furthermore, no clustering technique can tackle all pro

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21

Béal, D., P. Brasseur, J. M. Brankart, Y. Ourmières, and J. Verron. "Controllability of mixing errors in a coupled physical biogeochemical model of the North Atlantic: a nonlinear study using anamorphosis." Ocean Science Discussions 6, no. 2 (2009): 1289–332. http://dx.doi.org/10.5194/osd-6-1289-2009.

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Abstract. In biogeochemical models coupled to ocean circulation models, vertical mixing is an important physical process which governs the nutrient supply and the plankton residence in the euphotic layer. However, mixing is often poorly represented in numerical simulations because of approximate parameterizations of sub-grid scale turbulence, wind forcing errors and other mis-represented processes such as restratification by mesoscale eddies. Getting a sufficient knowledge of the nature and structure of these error sources is necessary to implement appropriate data assimilation methods and to

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22

Ullah, Rahmat, and Byoung S. Ham. "Understanding of Collective Atom Phase Control in Modified Photon Echoes for a Near-Perfect Storage Time-Extended Quantum Memory." Entropy 22, no. 8 (2020): 900. http://dx.doi.org/10.3390/e22080900.

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A near-perfect storage time-extended photon echo-based quantum memory protocol has been analyzed by solving the Maxwell–Bloch equations for a backward scheme in a three-level system. The backward photon echo scheme is combined with a controlled coherence conversion process via controlled Rabi flopping to a third state, where the control Rabi flopping collectively shifts the phase of the ensemble coherence. The propagation direction of photon echoes is coherently determined by the phase-matching condition between the data (quantum) and the control (classical) pulses. Herein, we discuss the clas

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23

Sun, Qiwen, Takemasa Miyoshi, and Serge Richard. "Control simulation experiments of extreme events with the Lorenz-96 model." Nonlinear Processes in Geophysics 30, no. 2 (2023): 117–28. http://dx.doi.org/10.5194/npg-30-117-2023.

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Abstract. The control simulation experiment (CSE) is a recently developed approach to investigate the controllability of dynamical systems, extending the well-known observing system simulation experiment (OSSE) in meteorology. For effective control of chaotic dynamical systems, it is essential to exploit the high sensitivity to initial conditions for dragging a system away from an undesired regime by applying minimal perturbations. In this study, we design a CSE for reducing the number of extreme events in the Lorenz-96 model. The 40 variables of this model represent idealized meteorological q

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24

Mozohin, Andrey. "Methodology for Ensuring a Comfortable Microclimate State in a Smart Home Using an Ensemble of Fuzzy Artificial Neural Networks." Informatics and Automation 20, no. 6 (2021): 1418–47. http://dx.doi.org/10.15622/ia.20.6.9.

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Analysis of the application of smart home technology indicates an insufficient level of controllability of its infrastructure, which leads to excessive consumption of energy and information resources. The problem of managing the digital infrastructure of human living space, is associated with a large number of highly specialized solutions for home automation, which complicate the management process. Smart home is considered as a set of independent cyber-physical devices aimed at achieving its goal. For coordinated work of cyber-physical devices it is proposed to provide their joint work throug

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25

Mudiar, Priyanko Raj, Kandarpa Kumar Sarma, and Nikos Mastorakis. "Adaptively Equalized Bandwidth Optimization Model using SCADA-DWWAN based Neural Network." WSEAS TRANSACTIONS ON ELECTRONICS 13 (September 19, 2022): 107–14. http://dx.doi.org/10.37394/232017.2022.13.14.

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Artificial training and learning algorithms, enhanced with semi-supervised or self-supervised feature extraction capacities, employ adaptive decision optimization models. These are often favored over complex deep learning algorithms for achieving better controllability and ease of observation, lower complexity in simulating, building or designing and virtual prototyping of automatic network resource management (ANRM) standards. An Adaptive Linear Neuron type Artificial Neural Network (ADALINE-ANN) which is based on multi-tapered machine learning approach has been simulated in a virtual Supervi

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26

Schönlein, Michael, and Uwe Helmke. "Controllability of ensembles of linear dynamical systems." Mathematics and Computers in Simulation 125 (July 2016): 3–14. http://dx.doi.org/10.1016/j.matcom.2015.10.006.

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27

Daniels, Bryan C., and Enrico Borriello. "Difficult control is related to instability in biologically inspired Boolean networks." PLOS Complex Systems 2, no. 1 (2025): e0000025. https://doi.org/10.1371/journal.pcsy.0000025.

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Previous work in Boolean dynamical networks has suggested that the number of components that must be controlled to select an existing attractor is typically set by the number of attractors admitted by the dynamics, with no dependence on the size of the network. Here we study the rare cases of networks that defy this expectation, with attractors that require controlling most nodes. We find empirically that unstable fixed points are the primary recurring characteristic of networks that prove more difficult to control. We describe an efficient way to identify unstable fixed points and show that,

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28

Danhane, Baparou, Jérôme Lohéac, and Marc Jungers. "Conditions for uniform ensemble output controllability, and obstruction to uniform ensemble controllability." Mathematical Control and Related Fields, 2023, 0. http://dx.doi.org/10.3934/mcrf.2023036.

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29

Chen, Xudong. "Sparse Linear Ensemble Systems and Structural Controllability." IEEE Transactions on Automatic Control, 2021, 1. http://dx.doi.org/10.1109/tac.2021.3097289.

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30

Miao, Wei, Gong Cheng, and Jr-Shin Li. "On Numerical Examination of Uniform Ensemble Controllability for Linear Ensemble Systems." IEEE Control Systems Letters, 2020, 1. http://dx.doi.org/10.1109/lcsys.2020.3043694.

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31

"The use of models with improved characteristics in the missile control system." Automation. Modern Techologies, 2020. http://dx.doi.org/10.36652/0869-4931-2020-74-12-563-568.

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A fundamental diagram of a control system for missiles of various classes is investigated. A functional diagram of a control system with an intelligent component for long-range aerodynamic rockets returning to the atmosphere is developed. It is proposed to use in the control loop an ensemble of a priori missile models and models of external influences. It is proposed to improve the accuracy of control systems with an intelligent component by increasing the degree of controllability of the state variables for a priori models. The most convenient numerical criterion of controllability degree for

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32

Leventides, John, Nick Poulios, and Costas Poulios. "Random matrices and controllability of dynamical systems." IMA Journal of Mathematical Control and Information, May 5, 2021. http://dx.doi.org/10.1093/imamci/dnab011.

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Abstract We introduce the concept of $\epsilon $-uncontrollability for random linear systems, i.e. linear systems in which the usual matrices have been replaced by random matrices. We also estimate the $\varepsilon $-uncontrollability in the case where the matrices come from the Gaussian orthogonal ensemble. Our proof utilizes tools from systems theory, probability theory and convex geometry.

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33

Chen, Xudong, and Bahman Gharesifard. "Structural Averaged Controllability for Linear Ensemble Systems: Single-input Case." IEEE Transactions on Control of Network Systems, 2025, 1–12. https://doi.org/10.1109/tcns.2025.3566318.

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34

Bomela, Walter, Bharat Singhal, and Jr-Shin Li. "Engineering Spatiotemporal Patterns: Information Encoding, Processing, and Controllability in Oscillator Ensembles." Biomedical Physics & Engineering Express, June 22, 2023. http://dx.doi.org/10.1088/2057-1976/ace0c9.

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Abstract The ability to finely manipulate spatiotemporal patterns displayed in neuronal populations is critical for understanding and influencing brain functions, sleep cycles, and neurological pathologies. However, such control tasks are challenged not only by the immense scale, but also by the lack of real-time state measurements of neurons in the population, which deteriorates the control performance. In this paper, we formulate the control of dynamic structures in an ensemble of neuron oscillators as a tracking problem and propose a principled control technique for designing optimal stimul

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35

Popescu, Victor-Bogdan, José Ángel Sánchez-Martín, Daniela Schacherer, et al. "NetControl4BioMed: a web-based platform for controllability analysis of protein–protein interaction networks." Bioinformatics, August 5, 2021. http://dx.doi.org/10.1093/bioinformatics/btab570.

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Abstract Motivation There is an increasing amount of data coming from genome-wide studies identifying disease-specific survivability-essential proteins and host factors critical to a cell becoming infected. Targeting such proteins has a strong potential for targeted, precision therapies. Typically however, too few of them are drug targetable. An alternative approach is to influence them through drug targetable proteins upstream of them. Structural target network controllability is a suitable solution to this problem. It aims to discover suitable source nodes (e.g. drug targetable proteins) in

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36

Biswas, Animesh, Sudhanshu Shekhar Chaurasia, P. Parmananda, and Sudeshna Sinha. "Asymmetry induced suppression of chaos." Scientific Reports 10, no. 1 (2020). http://dx.doi.org/10.1038/s41598-020-72476-8.

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Abstract We explore the dynamics of a group of unconnected chaotic relaxation oscillators realized by mercury beating heart systems, coupled to a markedly different common external chaotic system realized by an electronic circuit. Counter-intuitively, we find that this single dissimilar chaotic oscillator manages to effectively steer the group of oscillators on to steady states, when the coupling is sufficiently strong. We further verify this unusual observation in numerical simulations of model relaxation oscillator systems mimicking this interaction through coupled differential equations. In

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37

Wen Ya-fei, Tian Jian-feng, Wang Zhi-qiang, and Zhuang Yuan-yuan. "Fiber-cavity enhanced and high-fidelity optical memory in cold atoms." Acta Physica Sinica, 2023, 0. http://dx.doi.org/10.7498/aps.72.20222178.

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Entanglement between a photon and an atomic memory is an important tool for quantum repeater research. By using the Duan-Lukin-Cirac-Zoller (DLCZ) process in the atomic ensemble, quantum entanglement between a photon and an atomic spin-wave memory has been produced. With the further development of quantum information, it is necessary to put forward higher requirements for the diversity and controllability of quantum memory. In this paper, we experimentally demonstrate a fiber-cavity enhanced and high-fidelity optical memory in cold atomic ensemble for the first time. We design a fiber cavity t

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38

Li, Jianduo, Yanjun Gan, Guo Zhang, Jiaojiao Gou, Xingjie Lu, and Chiyuan Miao. "Quantifying the Interactions of Noah‐MP Land Surface Processes on the Simulated Runoff Over the Tibetan Plateau." Journal of Geophysical Research: Atmospheres 129, no. 7 (2024). http://dx.doi.org/10.1029/2023jd040343.

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AbstractThe quantification of uncertainties in runoff over the Tibetan Plateau (TP), simulated by land surface models (LSMs), is of paramount importance for effective water resources management within this region. However, the interactions of land surface processes on simulated runoff, where the effectiveness of one process depends on the chosen scheme for another, have rarely been studied. To address this gap, we conducted ensemble simulations with the Noah‐MP (Noah with multiparameterization) LSM by varying the optional parameterization schemes of six land surface processes and quantified th

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39

Lavrentiev, Vasily. "Room temperature excitonic coupling in self-assembled copper – fullerene hybrid films exposed to ambient air." May 11, 2024. https://doi.org/10.5281/zenodo.11383142.

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Analytically sound combination of organic and inorganic semiconductors in designing functional hybrid nano materials promises new advances in nanoscience and in creation of next-generation optoelectronic devices. In this work, we report on combining two contrasting semiconductors (inorganic and organic) possessing attractiveoptical and electronic properties, namely Cu 2 O (in form of small single-crystalline nanoparticles, NPs) and C 60 - fullerene (as a medium supporting the NP ensemble), which were formed within the well-controlled Cu x (O y )C 60 hybrid films through self-assembling an

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40

Tiwari, Archana, Rudra Narayan Padhan, and Kishor Chandra Pati. "On controllability of driftless control systems on symmetric spaces." Arabian Journal of Mathematics, August 30, 2024. http://dx.doi.org/10.1007/s40065-024-00469-w.

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AbstractSymmetric spaces arise in wide variety of problems in Mathematics and Physics. They are mostly studied in Representation theory, Harmonic analysis and Differential geometry. As many physical systems have symmetric spaces as their configuration spaces, the study of controllability on symmetric space is quite interesting. In this paper, a driftless control system of type $${\dot{x}}= \sum _{i=1}^m u_if_i(x)$$ x ˙ = ∑ i = 1 m u i f i ( x ) is considered on a symmetric space. For this we have established global controllability condition which is illustrated by few examples of exponential s

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41

Leventides, J., N. Karcanias, and N. C. Poulios. "The notion of almost zeros and randomness." IMA Journal of Mathematical Control and Information, April 22, 2021. http://dx.doi.org/10.1093/imamci/dnab008.

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Abstract We investigate the problem of almost zeros of polynomial matrices as used in system theory. It is related to the controllability and observability notion of systems as well as the determination of Macmillan degree and complexity of systems. We also present some new results on this important invariant in the light of randomness and we prove an uncertainty type relation appearing in such ensembles of operators.

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