Adaptive fuzzy tracking control of nonlinear MIMO systems with time-varying delays

2013 ◽  
Vol 217 ◽  
pp. 1-21 ◽  
Author(s):  
Bing Chen ◽  
Xiaoping Liu ◽  
Kefu Liu ◽  
Chong Lin
Keyword(s):  
Tracking Control ◽  
Mimo Systems ◽  
Time Varying ◽  
Adaptive Fuzzy

scholarly journals Adaptive Fuzzy H∞ Robust Tracking Control for Nonlinear MIMO Systems

2015 ◽  
Vol 15 (1) ◽  
pp. 34-45
Author(s):  
Sanxiu Wang ◽  
Kexin Xing ◽  
Zhengchu Wang
Keyword(s):  
Tracking Control ◽  
Mimo Systems ◽  
Tracking Error ◽  
Approximation Error ◽  
Nonlinear Function ◽  
Robust Tracking ◽  
Robust Tracking Control ◽  
Fuzzy Logic Systems ◽  
Adaptive Fuzzy ◽  
Control Scheme

Abstract In this paper an adaptive fuzzy H∞ robust tracking control scheme is developed for a class of uncertain nonlinear Multi-Input and Multi-Output (MIMO) systems. Firstly, fuzzy logic systems are introduced to approximate the unknown nonlinear function of the system by an adaptive algorithm. Next, a H∞ robust compensator controller is employed to eliminate the effect of the approximation error and external disturbances. Consequently, a fuzzy adaptive robust controller is proposed, such that the tracking error of the resulting closed-loop system converges to zero and the tracking robustness performance can be guaranteed. The simulation results performed on a two-link robotic manipulator demonstrate the validity of the proposed control scheme.

Observer-based adaptive fuzzy tracking control for a class of uncertain nonlinear MIMO systems

2011 ◽  
Vol 164 (1) ◽  
pp. 25-44 ◽  
Author(s):  
Yan-Jun Liu ◽  
Shao-Cheng Tong ◽  
Tie-Shan Li
Keyword(s):  
Tracking Control ◽  
Mimo Systems ◽  
Adaptive Fuzzy

scholarly journals Adaptive Fuzzy Consensus Tracking Control for Nonlinear Multiagent Systems with Time-Varying Delays and Constraints

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jie Lan ◽  
Tongyu Xu
Keyword(s):  
Multiagent Systems ◽  
Tracking Control ◽  
Tracking Error ◽  
Time Varying ◽  
Feedback Systems ◽  
Distributed Consensus ◽  
Fuzzy Logic Systems ◽  
State Time ◽  
Adaptive Fuzzy ◽  
Consensus Tracking

This paper proposes an adaptive fuzzy distributed consensus tracking control scheme for a class of uncertain nonlinear dynamic multiagent systems (MASs) with state time-varying delays and state time-varying constraints. The existing controllers with Lyapunov–Krasovskii functions (LKFs) were not suitable to address time-varying delays and time-varying constraints in nonlinear MASs simultaneously. State constraints further increase the difficulty of controller design and stability analysis, especially for nonstrict feedback systems. Fuzzy logic systems (FLSs) tackle the approximation of unknown dynamics functions and parameters. Especially when the distributed consensus tracking error is infinitely close to the origin, although there is no singular value, it would lead to the rapid growth of control rate or uncontrollability. Constructing appropriate piecewise functions can effectively avoid the above occurrence and accelerate convergence. Based on Lyapunov stability theory and algebraic graph theory, the constructed tracking control can ensure states within defined time-varying constraint bounds and eliminate the influence of time delays. All signals in closed-loop systems can be guaranteed semiglobally uniformly ultimately bounded (SUUB). Finally, the validity of the theoretical method is verified by the simulation.

Event-triggered adaptive fuzzy tracking control of nonlinear MIMO systems

2018 ◽  
Vol 49 (12) ◽  
pp. 2618-2629 ◽  
Author(s):  
Yuan-Xin Li ◽  
Guang-Hong Yang ◽  
Shaocheng Tong
Keyword(s):  
Tracking Control ◽  
Mimo Systems ◽  
Adaptive Fuzzy ◽  
Event Triggered
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