Relevant bibliographies by topics / Adaptive control algorithm

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Adaptive control algorithm'

Author: Grafiati
Published: 28 May 2022
Last updated: 30 July 2025

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Journal articles on the topic "Adaptive control algorithm"

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Chen, Yi Rui, and Yi Zhuang. "An Adaptive Decision Concurrency Control Algorithm." Advanced Materials Research 1046 (October 2014): 512–15. http://dx.doi.org/10.4028/www.scientific.net/amr.1046.512.

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For the lack of adaptability about the existing concurrency control algorithms, adaptive decision concurrency control algorithm is proposed. ADCC algorithm divides concurrency control process into two phases in: execution authorizing phase and strategy selecting phase. In execution authorizing phase, algorithm compares statistics and effectiveness of transactions to determine the execution order of conflict transactions. In strategy selecting phase, according to transactions’ read/write status and current conflict rate, algorithm selects optimistic/pessimistic conflict resolution strategy adap
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Liu, Lei, Feng Mei Zhang, Cun Wu Han, Song Bi, and De Hui Sun. "Adaptive Fault-Tolerant Congestion Control for Internet." Applied Mechanics and Materials 644-650 (September 2014): 2467–70. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2467.

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Existing Internet congestion control algorithms did not consider any faults. This paper presents a state feedback fault-tolerant congestion control algorithm which is based on adaptive and robust H∞ approaches. Simulation result shows that the proposed algorithm has good performance.
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Gupta, Ajay Kumar, Devendra Singh, Karan Singh, and Lal Pratap Verma. "An adaptive congestion control algorithm." Journal of Discrete Mathematical Sciences and Cryptography 24, no. 5 (2021): 1273–82. http://dx.doi.org/10.1080/09720529.2021.1932912.

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Verma, Lal, Indradeep Verma, and Mahesh Kumar. "An Adaptive Congestion Control Algorithm." Modelling, Measurement and Control A 92, no. 1 (2019): 30–36. http://dx.doi.org/10.18280/mmc_a.920105.

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Rząsa, Mariusz. "Adaptive Air Stream Control Algorithm." Pomiary Automatyka Robotyka 27, no. 2 (2023): 99–102. http://dx.doi.org/10.14313/par_248/99.

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The paper presents an adaptive air stream control algorithm for use in a bioreactor for waste composting. The system controls the streams of air supplied to the six ducts of the bireactor. Bioreactors of this type are characterized by the fact that the porosity of the charge is very heterogeneous throughout the volume. In addition, during the process, the charge is compacted and blockages for the gas flow often occur. The control algorithm should take into account the formation of blockages and attempt to clear them. In situations where unblocking is impossible, it should ensure proper distrib
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Han, Cun Wu, De Hui Sun, and Lei Liu. "Adaptive Congestion Control with Time-Varying Uncertainties." Applied Mechanics and Materials 556-562 (May 2014): 2285–88. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2285.

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Existing Internet congestion control algorithms did not consider time-varying uncertainties. This paper presents a new congestion control algorithm based on adaptive technique and robust H∞ approach, which can effectively compensate for the time-varying uncertainties. Simulation result shows that the proposed algorithm has good performance.
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Asadi, Davood, and Karim Ahmadi. "Nonlinear robust adaptive control of an airplane with structural damage." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 234, no. 14 (2020): 2076–88. http://dx.doi.org/10.1177/0954410020926618.

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This article investigates the design of a novel nonlinear robust adaptive control architecture to stabilize and control an airplane in the presence of left-wing damage. Damage effect is modeled by considering the sudden mass and inertia changes, center of gravity, and aerodynamic variations. The novel nonlinear control algorithm applies a state predictor as well as the error between the real damaged dynamics and a virtual model based on the nominal aircraft dynamics in the control loop of the adaptive strategy. The projection operator is used for the purpose of robustness of the adaptive contr
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Pei, Xiaoxuan, Kewen Li, and Yongming Li. "A survey of adaptive optimal control theory." Mathematical Biosciences and Engineering 19, no. 12 (2022): 12058–72. http://dx.doi.org/10.3934/mbe.2022561.

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<abstract><p>This paper makes a survey about the recent development of optimal control based on adaptive dynamic programming (ADP). First of all, based on DP algorithm and reinforcement learning (RL) algorithm, the origin and development of the optimization idea and its application in the control field are introduced. The second part introduces achievements in the optimal control direction, then we classify and summarize the research results of optimization method, constraint problem, structure design in control algorithm and practical engineering process based on optimal control.
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Chang, Kai, Xiao Jian Han, and Yong Yang. "Self-Adaptive PID Control of Hydraulic Quadruped Robot." Applied Mechanics and Materials 496-500 (January 2014): 1407–12. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.1407.

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Servo hydraulic system is important one of driving patterns of quadruped robot. While servo hydraulic system has characteristics of parameters time-varying and strong nonlinearity, so traditional PID control pattern cannot meet all the control demands well. To solve these problems, a set of control hardware is designed for a quadruped robot and a new control algorithm which can adjust PID parameters in real-time condition based on fuzzy control theory is proposed. By deducing transfer function, establishing system model and using MATLAB simulation tools to simulate the two algorithms, we compa
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Chen, Bo, Yilin Zhou, Zhaoyi Li, Jingjing Jia, and Yirui Zhang. "Adaptive Optical Closed-Loop Control Based on the Single-Dimensional Perturbation Descent Algorithm." Sensors 23, no. 9 (2023): 4371. http://dx.doi.org/10.3390/s23094371.

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Modal-free optimization algorithms do not require specific mathematical models, and they, along with their other benefits, have great application potential in adaptive optics. In this study, two different algorithms, the single-dimensional perturbation descent algorithm (SDPD) and the second-order stochastic parallel gradient descent algorithm (2SPGD), are proposed for wavefront sensorless adaptive optics, and a theoretical analysis of the algorithms’ convergence rates is presented. The results demonstrate that the single-dimensional perturbation descent algorithm outperforms the stochastic pa
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Dissertations / Theses on the topic "Adaptive control algorithm"

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Pan, Shuyue [Verfasser]. "A control algorithm for adaptive cruise control systems / Shuyue Pan." Aachen : Shaker, 2015. http://d-nb.info/1070151890/34.

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Bergendahl, Jason Robert. "A computationally efficient stereo vision algorithm for adaptive cruise control." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/43389.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.<br>Includes bibliographical references (p. 55-56).<br>by Jason Robert Bergendahl.<br>M.S.
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Dye, M. G. "The MCS algorithm for the co-ordinated control of web tension and transport." Thesis, University of Bristol, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.294367.

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Gomez, Eduardo Gomez. "Application of the MCS algorithm to the control system of the Bristol shaking table." Thesis, University of Bristol, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299274.

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Sebusang, Sebusang E. M. "Minimal control synthesis algorithm : safety-critical and a priori design issues." Thesis, University of Bristol, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389031.

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Hopkins, Brad Michael. "Adaptive Rollover Control Algorithm Based on an Off-Road Tire Model." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/36129.

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Due to a recent number of undesired rollovers in the field for the studied vehicle, rollover mitigation strategies have been investigated and developed. This research begins with the study of the tire, as it is the single component on the vehicle responsible for generating all of the non-inertial forces to direct the motion of the vehicle. Tire force and moment behavior has been researched extensively and several accurate tire models exist. However, not much research has been performed on off-road tire models. This research develops an off-road tire model for the studied vehicle by first using
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Xu, Ji. "Active Control of Vehicle Powertrain Noise using Adaptive Notch Filter with Inverse Model LMS Algorithm." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447689357.

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Shao, Chun. "Adaptive Control Strategy for Isolated Intersection and Traffic Network." University of Akron / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=akron1239466538.

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Wang, Nengmou. "Modified Sliding Mode Control Algorithm for Vibration Control of Linear and Nonlinear Civil Structures." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306705560.

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Malygin, Andrei. "Adaptive modulation and its control algorithm as a satellite communications fade countermeasure." Thesis, University of Portsmouth, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.267230.

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Books on the topic "Adaptive control algorithm"

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S, Mehta R., and United States. National Aeronautics and Space Administration., eds. Adaptive control and noise suppression by a variable-gain gradient algorithm. National Aeronautics and Space Administration, 1987.

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United States. National Aeronautics and Space Administration., ed. The minimal time detection algorithm. National Aeronautics and Space Administration, 1995.

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Hon, Herbert. An adaptive bandwidth enforcement and congestion control algorithm for broadband ISDN. National Library of Canada = Bibliothèque nationale du Canada, 1992.

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Malygin, Andrei. Adaptive modulation and its control algorithm as a satellite communications fade measure. University of Portsmouth, Dept. of Electrical and Electronic Engineering, 1998.

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S, Schkolnik Gerard, and United States. National Aeronautics and Space Administration., eds. Flight characteristics of the onboard propulsion system model for the performance seeking control algorithm on an F-15 aircraft. National Aeronautics and Space Administration, 1995.

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T, Batina John, Williams Marc H, and United States. National Aeronautics and Space Administration., eds. Temporal-adaptive Euler/Navier-Stokes algorithm for unsteady aerodynamic analysis of airfoils using unstructured dynamic meshes. National Aeronautics and Space Administration, 1990.

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T, Batina John, Williams Marc H, and United States. National Aeronautics and Space Administration., eds. Temporal-adaptive Euler/Navier-Stokes algorithm for unsteady aerodynamic analysis of airfoils using unstructured dynamic meshes. National Aeronautics and Space Administration, 1990.

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T, Batina John, Williams Marc H, and United States. National Aeronautics and Space Administration., eds. Temporal-adaptive Euler/Navier-Stokes algorithm for unsteady aerodynamic analysis of airfoils using unstructured dynamic meshes. National Aeronautics and Space Administration, 1990.

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Kaufman, Howard, Itzhak Barkana, and Kenneth Sobel. Direct Adaptive Control Algorithms. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-0657-6.

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Landau, Ioan Doré. Adaptive Control: Algorithms, Analysis and Applications. Springer-Verlag London Limited, 2011.

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Book chapters on the topic "Adaptive control algorithm"

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Kaufman, Howard, Itzhak Barkana, and Kenneth Sobel. "Extensions of the Basic Adaptive Algorithm: Alleviation of the SPR Constraints." In Direct Adaptive Control Algorithms. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-0657-6_3.

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Tomei, P. "An Adaptive PD Control Algorithm for Robots." In Robust Control of Linear Systems and Nonlinear Control. Birkhäuser Boston, 1990. http://dx.doi.org/10.1007/978-1-4612-4484-4_57.

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Sun, Jiayue, Shun Xu, Yang Liu, and Huaguang Zhang. "N-Level Hierarchy-Based Optimal Control to Develop Therapeutic Strategies for Ecological Evolutionary Dynamics Systems." In Adaptive Dynamic Programming. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5929-7_5.

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AbstractThis chapter mainly proposes an evolutionary algorithm and its first application to develop therapeutic strategies for Ecological Evolutionary Dynamics Systems (EEDS), obtaining the balance between tumor cells and immune cells by rationally arranging chemotherapeutic drugs and immune drugs. Firstly, an EEDS nonlinear kinetic model is constructed to describe the relationship between tumor cells, immune cells, dose, and drug concentration. Secondly, the N-Level Hierarchy Optimization (NLHO) algorithm is designed and compared with 5 algorithms on 20 benchmark functions, which proves the f
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Silveira, H. M. "A Discrete-Time Algorithm for Identification and Adaptive Control." In Perspectives in Control. Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1276-1_4.

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Liu, Junhong, and Jouni Lampinen. "Differential Evolution Algorithm With Adaptive Control Parameters." In Advances in Soft Computing. Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-3744-3_27.

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Rutkovsky, Vladislav Yu, Victor M. Glumov, and Victor M. Sukhanov. "New Adaptive Algorithm of Flexible Spacecraft Control." In Complex Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28860-4_14.

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Yijun, Huang, and Zeng Xianlin. "Application of Adaptive Annealing Genetic Algorithm for Wavelet Denoising." In Electrical Engineering and Control. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21765-4_48.

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Marusak, Piotr M. "Efficient Model Predictive Control Algorithm with Fuzzy Approximations of Nonlinear Models." In Adaptive and Natural Computing Algorithms. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04921-7_46.

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Stoten, David Paul. "An Adaptive Control Algorithm for Robot Machine and Process Control." In Robotics and Factories of the Future ’87. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73890-6_42.

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Sun, Jiayue, Shun Xu, Yang Liu, and Huaguang Zhang. "Evolutionary Dynamics Optimal Research-Oriented Tumor Immunity Architecture." In Adaptive Dynamic Programming. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5929-7_4.

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AbstractThis chapter devotes to evolutionary dynamics optimal control oriented tumor immune differential game system. Firstly, the mathematical model covering immune cells and tumor cells considering the effects of chemotherapy drugs and immune agents. Secondly, the bounded optimal control problem covering is transformed into solving HJB equation considering the actual constraints and infinite-horizon performance index based on minimize the amount of medication administered. Finally, approximate optimal control strategy is acquired through iteration dual heuristic dynamic programming algorithm
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Conference papers on the topic "Adaptive control algorithm"

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Gowri, P., G. Sivapriya, K. Venkateswaran, N. Sridhar, N. Indhumathi, and M. Sathya. "Adaptive Traffic Control Using Machine Learning Algorithm." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724651.

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Sun, Zongxuan, and Tsu-Chin Tsao. "Adaptive Repetitive Control Design With Application to an Electrohydraulic Servo." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-1280.

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Abstract This paper addresses the discrete-time adaptive control design which incorporates internal model principle for asymptotic tracking performance of systems with parametric uncertainties, unmodeled dynamics and noise. The indirect adaptive control system applies projection or least squares parameter adaptation algorithm with dead zone, and frozen time stabilizing control. The global stability of the system is ensured under certain assumptions. The adaptive algorithm is applied to an electrohydraulic servo with periodic disturbances and reference trajectory. A frozen time stabilizing repe
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Dai, Jiyang, and Jin Ying. "Adaptive mutation based particle swarm optimization algorithm." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334664.

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Ellerbroek, Brent L., and Troy A. Rhoadarmer. "Optimization of Closed-Loop Adaptive-Optics Control Algorithms Using Measured Performance Data: Experimental Results." In Adaptive Optics. Optica Publishing Group, 1996. http://dx.doi.org/10.1364/adop.1996.athb.2.

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Experiments have shown the reward adaptive-optics provides in improving the resolution of ground-based astronomical telescopes [1,2,3]. A critical contributor to adaptive-optics system performance is the control algorithm that converts wavefront sensor (WFS) measurements into the deformable mirror (DM) actuator commands. For the adaptive-optics systems in use today this control algorithm consists of a wavefront reconstruction step to estimate the instantaneous phase distortion to be compensated [4], followed by a servo control law to temporally filter this instantaneous estimate before it is a
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Lloyd-Hart, M., and T. Rhoadarmer. "Wavefront Control Optimization using Adaptive Filters." In Adaptive Optics. Optica Publishing Group, 1996. http://dx.doi.org/10.1364/adop.1996.athc.14.

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A key component in any close-loop adaptive optics (AO) system is the algorithm which converts signals from the wavefront sensor into commands to the correcting element. Much work has recently been devoted to the study of the optimal implementation of this algorithm, both in the theoretical [1, 2] and practical [3] domains.
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Alam, Furqan, Vijey Thayananthan, and Iyad Katib. "Analysis of round-robin load-balancing algorithm with adaptive and predictive approaches." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737592.

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Shahsavari, Behrooz, Ehsan Keikha, Fu Zhang, and Roberto Horowitz. "Adaptive Repetitive Control Using a Modified Filtered-X LMS Algorithm." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6322.

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In this paper we employ a modified filtered-x least mean squares (MFX-LMS) method to synthesis an adaptive repetitive controller for rejecting periodic disturbances at selective frequencies. We show how a MFX-LMS algorithm can be utilized when the reference signal is deterministic and periodic. A new adaptive step size is proposed with the motivation to improve the convergence rate of the MFX-LMS algorithm and fade the steady state excess error caused by the variation of estimated parameters in a stochastic environment. A novel secondary path modeling scheme is proposed to compensate for the m
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Sharma, Swati, and Bharat Bhushan. "Adaptive control using Jaya algorithm." In INTERNATIONAL CONFERENCE ON PHOTONICS, METAMATERIALS & PLASMONICS: PMP-2019. AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5120906.

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Su, Wei, and Kenneth M. Sobel. "A Simple Adaptive Control Algorithm with Adaptive Supplementary Dynamics." In 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791578.

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Choi, Young-Tai, Norman M. Wereley, and Gregory J. Hiemenz. "Frequency Shaped Semi-Active Control for Magnetorheological Fluid-Based Vibration Control Systems." In ASME 2013 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/smasis2013-3268.

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Novel semi-active vibration controllers are developed in this study for magnetorheological (MR) fluid-based vibration control systems, including: (1) a band-pass frequency shaped semi-active control algorithm, (2) a narrow-band frequency shaped semi-active control algorithm. These semi-active vibration control algorithms designed without resorting to the implementation of an active vibration control algorithms upon which is superposed the energy dissipation constraint. These new Frequency Shaped Semi-active Control (FSSC) algorithms require neither an accurate damper (or actuator) model, nor s
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Reports on the topic "Adaptive control algorithm"

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Allen, Donald S., Yang-Woo Kim, and Meenakshi Pasupathy. Forecasting with an Adaptive Control Algorithm. Federal Reserve Bank of St. Louis, 1996. http://dx.doi.org/10.20955/wp.1996.009.

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Bhagdikar, Piyush, Stanislav Gankov, Jayant Sarlashkar, and Scott Hotz. Energy-Efficient Adaptive Cruise Control Using Eco-Driving Algorithm. Office of Scientific and Technical Information (OSTI), 2024. https://doi.org/10.2172/2569146.

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Moran, Shane C. An Adaptive H infinity Control Algorithm for Jitter Control and Target Tracking in a Directed Energy Weapon. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada575864.

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Wijaya, Ignasius P. A., Eric Kreiger, and Asuf Masud. An elastic-inelastic model and embedded bounce-back control for layered printing with cementitious materials. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48091.

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This paper presents a finite-deformation model for extrusion-based layered printing with cementitious materials. The evolution of mechanical properties as the printed material cures and stiffens results in nonphysical reduction in the magnitude of elastic strains when standard constitutive models are employed. This elastic recovery of the printing induced deformation contradicts the experimentally observed behavior of the printed cementitious materials that harden at a nearly-frozen deformed state. A thermodynamically motivated constraint on the evolution of elastic strains is imposed on the c
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Morkun, Vladimir S., Natalia V. Morkun, and Andrey V. Pikilnyak. Augmented reality as a tool for visualization of ultrasound propagation in heterogeneous media based on the k-space method. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3757.

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For programming the AR tools, interactive objects and creating the markers, the method of fiber spaces (k-space) for modeling of ultrasonic wave propagation in an inhomogeneous medium using coarse grids, with maintaining the required accuracy was used. The algorithm and tools of augmented reality were introduced into the adaptive control system of the pulp gas phase in the iron ore flotation process using a control action on the basis of high-energy ultrasound dynamic effects generated by ultrasonic phased arrays. The tools of augmented reality based on k-space methods allow to facilitate wide
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Bodson, Marc. Adaptive Algorithms for Active Noise and Vibration Control. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada390623.

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Page, Anthony B., and Marc L. Steinberg. Effects of Control Allocation Algorithms on a Nonlinear Adaptive Design. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada368467.

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Han, Donghoon, and Kyongsu Yi. Evaluation of Adaptive Cruise Control Algorithms Using a Vehicle Simulator. SAE International, 2005. http://dx.doi.org/10.4271/2005-08-0262.

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Hovakimyan, Naira. Development of Adaptive Algorithms for Visual Control of Autonomous Multi-Vehicle Systems. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada512547.

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Blackburn, Mike. Learning Mobility: Adaptive Control Algorithms for the Novel Unmanned Ground Vehicle (NUGV). Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada422022.

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