Event‐triggered adaptive finite‐time prescribed performance tracking control for uncertain nonlinear systems

2020 ◽  
Vol 30 (18) ◽  
pp. 8449-8468
Author(s):  
Cungen Liu ◽  
Xiaoping Liu ◽  
Huanqing Wang ◽  
Chuang Gao ◽  
Yucheng Zhou ◽  
...  
Keyword(s):  
Nonlinear Systems ◽  
Finite Time ◽  
Tracking Control ◽  
Uncertain Nonlinear Systems ◽  
Prescribed Performance ◽  
Performance Tracking ◽  
Event Triggered

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.

Sign in / Sign up

Export Citation Format

Share Document