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Journal articles on the topic 'Adaptive control algorithm'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

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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Taneva, Albena, Michail Petrov, and Ivan Ganchev. "Hybrid PID Control Algorithms for Nonlinear Process Control." Journal of Electrical Engineering 62, no. 3 (2011): 147–52. http://dx.doi.org/10.2478/v10187-011-0024-0.

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Hybrid PID Control Algorithms for Nonlinear Process ControlThis paper presents modifications of the classical PID control algorithm, implemented by an Adaptive Neuro-Fuzzy Architecture (ANFA). The main goal here is to design a fuzzy PID controller with a flexible structure, adaptive tuning of its parameters and algorithm modifications, which leads to improvement of the system performance. Thus the controlling process and system are prevented from the undesired and non expected changes of the system input signals. The antecedent part of the applied fuzzy rules contains a linear function, simila

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Zhivoglyadov, V. P., G. P. Rao, and N. M. Filatov. "Active Adaptive Control Algorithm with BPF." IFAC Proceedings Volumes 26, no. 2 (1993): 659–62. http://dx.doi.org/10.1016/s1474-6670(17)49210-x.

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Wang, Hui, Xinyu Zhou, Hui Sun, et al. "Firefly algorithm with adaptive control parameters." Soft Computing 21, no. 17 (2016): 5091–102. http://dx.doi.org/10.1007/s00500-016-2104-3.

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Duong, Sam Chau, Hiroshi Kinjo, Eiho Uezato, and Tetsuhiko Yamamoto. "Online adaptive control via evolutionary algorithm." IEEJ Transactions on Electrical and Electronic Engineering 6, S1 (2010): S57—S64. http://dx.doi.org/10.1002/tee.20621.

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Birmiwal, Kailash. "A new adaptive LQG control algorithm." International Journal of Adaptive Control and Signal Processing 8, no. 3 (1994): 287–95. http://dx.doi.org/10.1002/acs.4480080306.

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Wu, Wenguang, Debiao Zou, Jian Ou, and Lin Hu. "Adaptive Cruise Control Strategy Design with Optimized Active Braking Control Algorithm." Mathematical Problems in Engineering 2020 (July 21, 2020): 1–10. http://dx.doi.org/10.1155/2020/8382734.

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The braking quality is considered as the most important performance of the adaptive control system that influences the vehicle safety and ride comfort remarkably. This research is aimed at designing an adaptive cruise control (ACC) system based on active braking algorithm using hierarchical control. Taking into account the vehicle with safety and comfort, the upper decision-making controller is designed based on model predictive control algorithm. Throttle controller and braking controller are designed with feedforward and feedback algorithms as the bottom controller, where the braking control

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Mou, Zongliang, Lei Xu, Jianhua Chen, et al. "Nonlinear adaptive robust control with continuous error reduction mapping." Journal of Physics: Conference Series 2815, no. 1 (2024): 012030. http://dx.doi.org/10.1088/1742-6596/2815/1/012030.

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Abstract Achieving high stability and high-precision control by traditional control algorithms is difficult due to the strong nonlinearity, parameter uncertainty, and random disturbance characteristics of electro-hydraulic proportional servo systems. Herein, we developed a nonlinear adaptive control algorithm based on Lyapunov functions. By estimating the parameters and converging their errors, this algorithm solved the parameter adaptation problem. Additionally, based on convergence inference from the nonnegativity of the derivative of Lyapunov functions, the algorithm designed a disturbance

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Bangzhen Huang, Bangzhen Huang, Yani Cui Bangzhen Huang, Jia Ren Yani Cui, and Jiafu Yi Jia Ren. "Miniature Detection Buoy Based on Fuzzy Adaptive PID Algorithm." 電腦學刊 33, no. 6 (2022): 119–29. http://dx.doi.org/10.53106/199115992022123306010.

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<p>The ocean buoy is an important technical means to obtain ocean environmental parameters as a newly developed detection technology. Traditional ocean buoys use hydraulic devices to change the volume of the oil bladder to achieve fixed-depth control, with slow response speed and long detection cycle. Therefore, it can only be applied to deep-sea environment and lacks the ability of rapid and fine detection in shallow waters (<200m). Considering the above problems, the paper designs a miniature detection buoy, which adopts an innovative inner and outer sleeves design. The miniature de

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Fang, Yubin, Xiaojin Zhu, Jiaming Hu, Zhiyuan Gao, and Hesheng Zhang. "Multi-frequency micro-vibration control with hybrid adaptive control algorithm." Transactions of the Institute of Measurement and Control 42, no. 7 (2020): 1417–26. http://dx.doi.org/10.1177/0142331219891578.

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As a popular adaptive algorithm for active vibration control (AVC), filtered-x least mean square (FxLMS) algorithm sometimes fails to suppress multiple narrowband disturbance. To control multi-frequency structure vibration, parallel-form FxLMS algorithm can be employed. However, the conventional parallel-form FxLMS does not perform well in the situation of disturbance frequency mismatch and wideband measurement noise. For this issue, the majority of the improvement approaches are based on adaptive frequency estimator. It increased the computational burden of the parallel-form FxLMS algorithm.

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Lee. "Novel Variable Step-Size Gradient Adaptive Lattice Algorithm for Active Noise Control." Journal Of The Acoustical Society Of Korea 33, no. 5 (2014): 309. http://dx.doi.org/10.7776/ask.2014.33.5.309.

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Rasmussen, Emil D. J., Massimiliano Errico, and Stefania Tronci. "Adaptive Feedback Control for a Pasteurization Process." Processes 8, no. 8 (2020): 930. http://dx.doi.org/10.3390/pr8080930.

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The milk pasteurization process is nonlinear in nature, and for this reason, the application of linear control algorithms does not guarantee the obtainment of the required performance in every condition. The problem is here addressed by proposing an adaptive algorithm, which was obtained by starting from an observer-based control approach. The main result is the obtainment of a simple PI-like controller structure, where the control parameters depend on the state of the system and are adapted online. The proposed algorithm was designed and applied on a simulated process, where the temperature d

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Chiheb, Amira, and Hassina Khelladi. "Performance Comparison of LMS and RLS Algorithms for Ambient Noise Attenuation." International Journal of Electrical and Computer Engineering Research 4, no. 1 (2024): 14–19. http://dx.doi.org/10.53375/ijecer.2024.383.

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The aim of this study is to implement two different types of adaptive algorithms for the noise cancellation. The study explores the well-known least mean squares (LMS) adaptive algorithm, which is based on stochastic gradient descent approach, and its performances in terms of noise attenuation level and swiftness in active noise control (ANC). Another algorithm is considered in this investigation based upon the use of the least squares estimation (LSE), commonly named, the recursive least squares algorithm (RLS), and will be compared to the LMS. In order to evaluate the potential of each one,

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TU, Tran Vu, and Kazushi SANO. "Genetic algorithm for optimization in adaptive bus signal priority control." An International Journal of Optimization and Control: Theories & Applications (IJOCTA) 3, no. 1 (2012): 35–43. http://dx.doi.org/10.11121/ijocta.01.2013.00138.

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This paper firstly proposes an improved genetic algorithm (GA) for optimization in adaptive bus signal priority control at signalized intersections. Unlike conventional genetic algorithms with slow convergence speed, this algorithm can increase the convergence speed by utilizing the compensation rule between consecutive signal cycles to narrow new possible generated population spaces. Secondly, the paper would like to present a way to apply the algorithm to a simple adaptive bus signal priority control as well as compare how much the computation time is saved when applying the improved algorit

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Huynh, Tuan Van, Phuong Huu Nguyen, and Long Ngoc Nguyen. "ADAPTIVE NEURAL NETWORK FOR FEEDBACK ACTIVE NOISE CONTROL SYSTEM." Science and Technology Development Journal 12, no. 12 (2009): 86–93. http://dx.doi.org/10.32508/stdj.v12i12.2323.

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This paper presents a neural-based filtered-X least-mean-square algorithm (NFXLMS) active noise control (ANC) system. The saturation of the power amplifier in ANC system is considered. A method for compensating the saturation is proposed. On line dynamic learning algorithms based on the error gradient descent method is carried out. The convergence of the algorithm is proven using a discrete Lyapunov function. Simulation results are provided for illustration.

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Fan, Rang-Lin, Pu Wang, Chen Han, Li-Jun Wei, Zi-Jian Liu, and Pei-Ju Yuan. "Summarisation, Simulation and Comparison of Nine Control Algorithms for an Active Control Mount with an Oscillating Coil Actuator." Algorithms 14, no. 9 (2021): 256. http://dx.doi.org/10.3390/a14090256.

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With the further development of the automotive industry, the traditional vibration isolation method is difficult to meet the requirements for wide frequency bands under multiple operating conditions, the active control mount (ACM) is gradually paid attentions, and the control algorithm plays a decisive role. In this paper, the ACM with oscillating coil actuator (OCA) is taken as the object, and the comparative study of the control algorithms is performed to select the optimal one for ACM. Through the modelling of ACM, the design of controller and the system simulations, the force transmission

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Yulin, Zhang, and Zhao Xiuyang. "Wavelet Adaptive Algorithm and Its Application to MRE Noise Control System." Shock and Vibration 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/968082.

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To address the limitation of conventional adaptive algorithm used for active noise control (ANC) system, this paper proposed and studied two adaptive algorithms based on Wavelet. The twos are applied to a noise control system including magnetorheological elastomers (MRE), which is a smart viscoelastic material characterized by a complex modulus dependent on vibration frequency and controllable by external magnetic fields. Simulation results reveal that the Decomposition LMS algorithm (D-LMS) and Decomposition and Reconstruction LMS algorithm (DR-LMS) based on Wavelet can significantly improve

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Liu, Cheng, Xue Ren Li, and Yun Ze Li. "Research of Trajectory Tracking Algorithms for Industrial Robot." Applied Mechanics and Materials 568-570 (June 2014): 922–26. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.922.

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the paper firstly designs dynamics model of a 6-DOF vertical multi-joint robot and simplifies it, aiming at the existing algorithms PID path tracking control, the paper put forward two new algorithms based on the analysis of the variable structure control: fast variable structure control algorithm and adaptive fuzzy variable structure control algorithm. The fast variable structure control algorithm can improve the control effect by optimizing the reaching movement. By introducing adaptive processing and fuzziness into reaching law of traditional variable structure control, the reaching motion

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Huang, Quanzhen, Suxia Chen, Mingming Huang, and Zhuangzhi Guo. "Adaptive Active Noise Suppression Using Multiple Model Switching Strategy." Shock and Vibration 2017 (2017): 1–6. http://dx.doi.org/10.1155/2017/7289076.

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Active noise suppression for applications where the system response varies with time is a difficult problem. The computation burden for the existing control algorithms with online identification is heavy and easy to cause control system instability. A new active noise control algorithm is proposed in this paper by employing multiple model switching strategy for secondary path varying. The computation is significantly reduced. Firstly, a noise control system modeling method is proposed for duct-like applications. Then a multiple model adaptive control algorithm is proposed with a new multiple m

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Rutkovsky, V. N., and D. V. Kapski. "Analysis, development and implementation of adaptive algorithms for (flexible) traffic light regulations." «System analysis and applied information science», no. 3 (November 9, 2023): 4–16. http://dx.doi.org/10.21122/2309-4923-2023-3-4-16.

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The article analyzes various adaptive control algorithms used in the intelligent system of the largest city – Minsk. An adaptive control algorithm has been developed depending on the dynamically changing load of a local intersection. On the example of one of the intersections, an example of the implementation of this algorithm is given. Recommendations are given for the further application of this algorithm on the street network.

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Pashchenko, М. М., V. D. Oniskiv та V. Yu Stolbov. "ОБ ОДНОМ АЛГОРИТМЕ АДАПТИВНОГО УПРАВЛЕНИЯ ПРОЦЕССОМ ТОКАРНОЙ ОБРАБОТКИ С ИСПОЛЬЗОВАНИЕМ МЕТОДОВ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА". Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 25, № 1 (2025): 43–52. https://doi.org/10.14529/ctcr250104.

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Increasing the efficiency of turning processes on CNC machines requires the development of special mathematical and information support for the implementation of adaptive control. It is proposed to use neural network approximators as models of the cutting process, constructed on the basis of experimental data obtained on a specific CNC machine during the processing of a specific material using a fixed tool. The purpose of the study: to study the issues of applying artificial intelligence methods for adaptive control of the turning process based on the obtained data on tool vibration. Materials

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Abramov, A. M. "Adaptive Trailer Control System." Izvestiya MGTU MAMI 3, no. 2 (2009): 15–22. http://dx.doi.org/10.17816/2074-0530-69516.

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The article describes the algorithm of the adaptive trailer control system for huge trucks. The system includes corrective control channel for optimization of the lateral displacement of the semitrailer relative to the trajectory oh the truck. Author used LMS Virtual.Lab Motion software for the algorithm's refinement.

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Nabati, Ehsan Gholamzadeh, and Sebastian Engell. "An Improved Adaptive Control Algorithm Based Upon Unfalsified Control." IFAC Proceedings Volumes 43, no. 10 (2010): 174–79. http://dx.doi.org/10.3182/20100826-3-tr-4015.00034.

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Danilova, S. K., and N. N. Tarasov. "Adaptive Algorithm of Filtration with Integrated Residuals." Mekhatronika, Avtomatizatsiya, Upravlenie 20, no. 2 (2019): 80–89. http://dx.doi.org/10.17587/mau.20.80-89.

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This paper proposes a filtering algorithm based on the use of not only the residuals between the measured and estimated coordinates, as in classical filtering algorithms, but also multiple integrals of these residuals. Classical filtering algorithms use reliable information about both the motion and measurement models and the statistical characteristics of the input random disturbances and measurement noise. The real control objects operate under conditions of action not only of highfrequency random disturbances, but also under the influence of low-frequency forces and moments from an aggressi

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Jiang, Di, Shangxuan Zhang, and Kaiyan Pan. "Data Center Temperature Control Method Based on Multi-Parameter Model-Free Adaptive Control Strategy." Processes 13, no. 8 (2025): 2360. https://doi.org/10.3390/pr13082360.

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With the continuous expansion of data center scales worldwide, the problem of energy consumption has become increasingly prominent. To address the multi-parameter control challenge in environmental temperature regulation for large data center computer rooms, achieve precise control of hot-aisle temperatures in data centers, and reduce energy waste, this paper designs a multi-parameter model-free adaptive control (MMFAC) algorithm suitable for computer room environmental temperatures. The algorithm integrates the model-free adaptive control (MFAC) algorithm with a weight matrix to perform scali

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Chu, Liang, Huichao Li, Yanwu Xu, Di Zhao, and Chengwei Sun. "Research on Longitudinal Control Algorithm of Adaptive Cruise Control System for Pure Electric Vehicles." World Electric Vehicle Journal 14, no. 2 (2023): 32. http://dx.doi.org/10.3390/wevj14020032.

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The vehicle longitudinal control algorithm is the core function of the adaptive cruise control system, whose main task is to convert vehicle acceleration and deceleration requirements into vehicle driving and braking commands so that the vehicle can quickly and accurately track the desired acceleration. Traditional longitudinal control algorithms rely on accurate vehicle dynamic modeling or complex controller parameter calibrations. To overcome those difficulties, a longitudinal control algorithm based on RBF-PID is proposed in this paper. The algorithm uses the RBFNN (radial basis function ne

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Du, Shuai, and Sen Lin Lu. "Research on Filtered-XLMS Algorithm Based Adaptive Active Noise Control." Applied Mechanics and Materials 273 (January 2013): 815–19. http://dx.doi.org/10.4028/www.scientific.net/amm.273.815.

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The core of adaptive active noise control system is the adaptive filter and the corresponding adaptive algorithm, the article described the principle of adaptive filtering for active noise control, focus on derivation of Filtered-XLMS algorithm, using MATLAB simulated and implemented Filtered-XLMS algorithm based adaptive active noise control system, and analyzed the filter length and the convergence factor on system performance.

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Choi, Tae Jong, Chang Wook Ahn, and Jinung An. "An Adaptive Cauchy Differential Evolution Algorithm for Global Numerical Optimization." Scientific World Journal 2013 (2013): 1–12. http://dx.doi.org/10.1155/2013/969734.

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Adaptation of control parameters, such as scaling factor (F), crossover rate (CR), and population size (NP), appropriately is one of the major problems of Differential Evolution (DE) literature. Well-designed adaptive or self-adaptive parameter control method can highly improve the performance of DE. Although there are many suggestions for adapting the control parameters, it is still a challenging task to properly adapt the control parameters for problem. In this paper, we present an adaptive parameter control DE algorithm. In the proposed algorithm, each individual has its own control paramet

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Ouakasse, Fathia, and Said Rakrak. "An Improved Adaptive CoAP Congestion Control Algorithm." International Journal of Online and Biomedical Engineering (iJOE) 15, no. 03 (2019): 96. http://dx.doi.org/10.3991/ijoe.v15i03.9122.

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<p class="0abstract"><span lang="EN-US">The Constrained Application Protocol (CoAP) is one of the most emerging messaging protocols that have successfully fulfilled the need of the lightweight feature required to handle communication between constrained devices in IoT environment. However, these devices are generating a huge amount of messages and notifications which cause the network congestion. Then, the challenge addressed in this paper; consists of designing a suitable congestion control mechanism for CoAP that ensures a safe network operation while keeping the use of network r

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Zhang, Jinhua, Lifeng Ding, and Shangbin Long. "State Feedback Control for Vehicle Electro-Hydraulic Braking Systems Based on Adaptive Genetic Algorithm Optimization." International Journal of Intelligent Systems 2024 (March 27, 2024): 1–13. http://dx.doi.org/10.1155/2024/3616505.

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In traditional state feedback control, the difficulty in determining the coefficient matrix is a significant factor that prevents achieving optimal control. To address this issue, this paper proposes the integration of adaptive genetic algorithms with state feedback control. The effectiveness of the proposed algorithm is validated via an electro-hydraulic braking system. Firstly, a model of the electro-hydraulic braking system is introduced. Next, a state feedback controller optimized by parameter-adaptive genetic algorithm is designed. Additionally, a penalty term is introduced into the fitne

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Stelson, K. A. "An Adaptive Pressbrake Control for Strain-Hardening Materials." Journal of Engineering for Industry 108, no. 2 (1986): 127–32. http://dx.doi.org/10.1115/1.3187047.

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An improved adaptive pressbrake control algorithm is described. The problem is to control the punch reversal position of the press so that the final unloaded angle of the bend remains unchanged in the presence of material property and thickness variations of the sheets or plates being bent. Pressbrake control algorithms that use punch force-displacement data to identify thickness and material property variations have shown promise. However, since previous controllers have been based on an elastic-plastic material model, the parts have been overbent. In this paper, a controller based on an elas

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Keymasi Khalaji, Ali, and Mostafa Jalalnezhad. "Control of a tractor-trailer robot subjected to wheel slip." Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics 233, no. 4 (2019): 956–67. http://dx.doi.org/10.1177/1464419319839848.

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Tractor-trailer wheeled robots (TTWRs) are highly nonlinear and underactuated dynamical systems. It is necessary to use nonlinear control methods, for the control of wheeled robots. Back-stepping method is a Lyapunov-based systematic technique for designing nonlinear control algorithms. In this paper, an adaptive back-stepping controller is proposed for the TTWRs. The proposed algorithm uses an adaptive layout for the compensation of the system wheel slips, which updates controller parameters based on a combination of error signals and estimated uncertainties. This paper is one of the firsts t

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Peng, Nuomeng, Chen Li, Linghao Yu, Ping Yu, and Tiannan Yao. "Maximum Versoria Criterion Algorithm with Adaptive Radius in Active Impulse Noise Control." Electronics 11, no. 14 (2022): 2178. http://dx.doi.org/10.3390/electronics11142178.

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The conventional algorithm used in active noise control (ANC) performs poorly under non-Gaussian (impulse) noise. This is because the stability of a conventional adaptive controller is easily damaged by the impulse noise. For the purpose of eliminating the noise and enhancing stability, two improvements are listed in the paper. Firstly, based on the robustness of the Versoria function to impulsive noise, a filtered-x recursive maximum Versoria criterion (FXRMVC) algorithm is proposed to attenuate the impulsive noise. Secondly, the FXRMVC algorithm employs an adaptive radius strategy which is o

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Eun Jae Kim, Woonam Chung, Woochan Park, Yun Juwon, and Youngsik Kim. "Adaptive depth control algorithm for sound tracing." Journal of the Korea Computer Graphics Society 24, no. 5 (2018): 21–30. http://dx.doi.org/10.15701/kcgs.2018.24.5.21.

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Insausti, Xabier, Marta Zarraga-Rodriguez, Carolina Nolasco-Ferencikova, and Jesus Gutierrez-Gutierrez. "Distributed Clustering Algorithm for Adaptive Pandemic Control." IEEE Access 9 (2021): 160688–96. http://dx.doi.org/10.1109/access.2021.3131777.

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HE MING-FENG, MU YUN-MING, and ZHAO LI-ZHONG. "SYNCHRONIZATION ON USING PARAMETRIC ADAPTIVE CONTROL ALGORITHM." Acta Physica Sinica 49, no. 5 (2000): 830. http://dx.doi.org/10.7498/aps.49.830.

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Zhidkov, V. N. "Adaptive algorithm for mobile robot movement control." Journal of Physics: Conference Series 1958, no. 1 (2021): 012038. http://dx.doi.org/10.1088/1742-6596/1958/1/012038.

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Shevchenko, Victor, Viacheslav Pshikhopov, and Mikhail Medvedev. "Adaptive Control Algorithm of the Synchronous Generator." MATEC Web of Conferences 95 (2017): 13002. http://dx.doi.org/10.1051/matecconf/20179513002.

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Gao, Zhenhai. "VEHICLE DIRECTION PREVIEW ADAPTIVE PD CONTROL ALGORITHM." Chinese Journal of Mechanical Engineering 40, no. 05 (2004): 101. http://dx.doi.org/10.3901/jme.2004.05.101.

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Feng, G. "New robust model reference adaptive control algorithm." IEE Proceedings - Control Theory and Applications 141, no. 3 (1994): 177–80. http://dx.doi.org/10.1049/ip-cta:19941090.

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Antony, Beauny, and Manoj M. "Control Algorithm for Adaptive Front Light Systems." International Journal of Computer Trends and Technology 9, no. 7 (2014): 339–43. http://dx.doi.org/10.14445/22312803/ijctt-v9p162.

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