Adaptive prescribed performance tracking control for uncertain strict‐feedback Multiple Inputs and Multiple Outputs nonlinear systems based on generalized fuzzy hyperbolic model

2020 ◽  
Vol 34 (12) ◽  
pp. 1847-1864
Author(s):  
Zhong‐Jun Yang ◽  
Xue‐Jun Zong ◽  
Guo‐Gang Wang
Keyword(s):  
Nonlinear Systems ◽  
Tracking Control ◽  
Hyperbolic Model ◽  
Prescribed Performance ◽  
Multiple Outputs ◽  
Performance Tracking ◽  
Generalized Fuzzy Hyperbolic Model ◽  
Strict Feedback

scholarly journals Prescribed Performance Tracking Control for High-Order Uncertain Nonlinear Systems

2022 ◽  
Author(s):  
Jiling Ding ◽  
Weihai Zhang
Keyword(s):  
Nonlinear Systems ◽  
Tracking Control ◽  
State Feedback ◽  
Low Complexity ◽  
High Order ◽  
State Feedback Control ◽  
Uncertain Nonlinear Systems ◽  
Prescribed Performance ◽  
Approximation Techniques ◽  
Performance Tracking

Abstract This paper considers the prescribed performance tracking control for high-order uncertain nonlinear systems. For any initial system condition, a state feedback control is designed, which guarantees the prescribed tracking performance and the boundedness of closed-loop signals. The proposed controller can be implemented without using any approximation techniques for estimating unknown nonlinearities. In this respect, a significant advantage of this article is that the explosion of complexity is avoided, which is raised by backstepping-like approaches that are typically employed to the control of uncertain nonlinear systems, and a low-complexity controller is achieved. Moreover, contrary to the existing results in existing literature, the restrictions on powers of high-order nonlinear systems are relaxed to make the considered problem having stronger theoretical and practical values. The effectiveness of the proposed scheme is verified by some simulation results.

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