Regular Papers
International Journal of Control, Automation and Systems 2020; 18(11): 2890-2897
Published online May 18, 2020
https://doi.org/10.1007/s12555-019-0969-5
© The International Journal of Control, Automation, and Systems
Adaptive Static Output Feedback Anti-disturbance Quantized Control for Nonlinear Systems with Multi-source Disturbances
In this paper, the problem of adaptive static output feedback anti-disturbance quantized control is proposed for nonlinear systems with multi-source disturbances and unknown parameters. Using the output information, the disturbance observer and the adaptive law are constructed. An adaptive static output feedback anti-disturbance quantized controller is designed by combining with the estimated values of the disturbance and unknown parameters, in which a compensation term is introduced to eliminate the influence of quantization error. The stability and H∞ performance are analyzed by using Lyapunov function method. Finally, a simulation example is given to verify the validity of the results.
Download: http://link.springer.com/article/10.1007/s12555-019-0969-5
Keywords Adaptive control, disturbance observer, H∞ control, input quantization, static output feedback control
PDF
Standard view
Export citation
Share Article
Regular Papers
International Journal of Control, Automation and Systems 2020; 18(11): 2890-2897
Published online November 1, 2020 https://doi.org/10.1007/s12555-019-0969-5
Copyright © The International Journal of Control, Automation, and Systems.
Adaptive Static Output Feedback Anti-disturbance Quantized Control for Nonlinear Systems with Multi-source Disturbances
Yitong Zhou and Haibin Sun*
Qufu Normal University
Abstract
In this paper, the problem of adaptive static output feedback anti-disturbance quantized control is proposed for nonlinear systems with multi-source disturbances and unknown parameters. Using the output information, the disturbance observer and the adaptive law are constructed. An adaptive static output feedback anti-disturbance quantized controller is designed by combining with the estimated values of the disturbance and unknown parameters, in which a compensation term is introduced to eliminate the influence of quantization error. The stability and H∞ performance are analyzed by using Lyapunov function method. Finally, a simulation example is given to verify the validity of the results.
Download: http://link.springer.com/article/10.1007/s12555-019-0969-5
Keywords: Adaptive control, disturbance observer, H&infin, control, input quantization, static output feedback control
Vol. 22, No. 9, pp. 2673~2953
Stats or Metrics
Share this article on
Related articles in IJCAS
-
Adaptive Finite-time Consensus for Second-order Nonlinear Multi-agent Systems with Input Quantization
Jiabo Ren, Baofang Wang, and Mingjie Cai*
International Journal of Control, Automation and Systems 2022; 20(3): 769-779 -
Spatial Path Following Control of an Autonomous Underactuated Airship
Wei-Xiang Zhou*, Chang Xiao, Ping-Fang Zhou, and Deng-Ping Duan
International Journal of Control, Automation and Systems 2019; 17(7): 1726-1737 -
Immersion and Invariance Adaptive Control for a Class of Nonlinear Systems With Uncertain Parameters
Jian-Hui Wang, Guang-Ping He*, Gui-Bin Bian, Jun-Jie Yuan, Shi-Xiong Geng, Cheng-Jie Zhang, and Cheng-Hao Zhao
International Journal of Control, Automation, and Systems 2024; 22(9): 2746-2757
