Adaptive Fuzzy Decentralized Output Feedback Control for Nonlinear Large-Scale Systems With Unknown Dead-Zone Inputs

2013 ◽  
Vol 21 (5) ◽  
pp. 913-925 ◽  
Author(s):  
Shaocheng Tong ◽  
Yongming Li
Keyword(s):  
Feedback Control ◽  
Output Feedback ◽  
Large Scale ◽  
Dead Zone ◽  
Output Feedback Control ◽  
Large Scale Systems ◽  
Adaptive Fuzzy

Adaptive decentralized fuzzy output feedback tracking control for a class of nonlinear large-scale systems with input delays

2017 ◽  
Vol 40 (12) ◽  
pp. 3534-3548 ◽  
Author(s):  
Barmak Baigzadehnoe ◽  
Zahra Rahmani ◽  
Alireza Khosravi ◽  
Behrooz Rezaie
Keyword(s):  
Feedback Control ◽  
Output Feedback ◽  
Tracking Control ◽  
Large Scale ◽  
Output Feedback Control ◽  
Backstepping Technique ◽  
Large Scale Systems ◽  
Fuzzy Observer ◽  
Adaptive Fuzzy ◽  
Input Delays

In this paper, the decentralized tracking control problem of nonlinear large-scale systems with immeasurable states and unknown nonlinearities in each subsystem and their interconnections subject to input delays is proposed. Based on the universal approximation properties of fuzzy systems, a fuzzy observer is designed to estimate the inaccessible states of the system. Subsequently, by defining the appropriate change of coordinates and employing the backstepping technique, an adaptive fuzzy backstepping output feedback control scheme is proposed for nonlinear interconnected systems subject to input delays. Owing to the problem of so-called explosion of complexity that inherently arises in the design procedures of the traditional backstepping technique, an adaptive fuzzy dynamic surface output feedback control approach is also presented for this class of large-scale systems. Moreover, it is shown that the two proposed adaptive decentralized fuzzy observer-based control approaches ensure all the signals of the closed loop system uniformly ultimately bounded and the norms of the tracking errors as well as the norms of the observation errors can converge to small desired values by proper selection of the design parameters. Finally, the theoretic achievements are carried out on the chemical reactor recycle system to illustrate and compare the effectiveness of the two proposed approaches.

scholarly journals Adaptive Dynamic Surface Decentralized Output Feedback Control for Switched Nonstrict Feedback Large-Scale Systems with Unknown Dead Zones

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Min Wan ◽  
Shanshan Huang
Keyword(s):  
Output Feedback ◽  
Large Scale ◽  
Dead Zone ◽  
Output Feedback Control ◽  
Dynamic Surface Control ◽  
Learning Technology ◽  
Dynamic Surface ◽  
Large Scale Systems ◽  
Dead Zones ◽  
Control Scheme

This paper investigates a novel adaptive output feedback decentralized control scheme for switched nonstrict feedback large-scale systems with unknown dead zones. A decentralized linear state observer is designed to estimate the unmeasurable states of subsystems. The dead zone inverse technique is used to compensate the effect of the unknown dead zone. A variable separation approach is applied to deal with the nonstrict feedback problem. Moreover, dynamic surface control and minimal parameter learning technology are adopted to reduce the computation burden. The proof of stability and the arbitrary switching are obtained by the common Lyapunov method. Finally, simulation results are given to show the effectiveness of the proposed control scheme.

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