Adaptive State Feedback Fault-Tolerant Tracking Control for Uncertain Nonlinear Systems with Sensor Failures

2021 ◽  
pp. 284-292
Author(s):  
Chen Sun ◽  
Yan Lin ◽  
Lin Li
2022 ◽  
Author(s):  
Jiling Ding ◽  
Weihai Zhang

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.


2021 ◽  
Author(s):  
Jinzi Yang ◽  
Yuan-Xin Li ◽  
Shaocheng Tong

Abstract In the article, the issues of asymptotic adaptive tracking control for the uncertain nonlinear systems in the presence of actuator faults and unknown control directions are investigated. By using the properties of Nussbaum function and backstepping technique, the problems resulted from the unknown signs of the nonlinear control functions are circumvented successfully. Moreover, a new adaptive asymptotic tracking control method is presented with the fault tolerant control framework, which is capable of realizing zero-tracking performance. The stability of the controlled system is ensured through fractional Lyapunov stability analysis. Finally, the validity of the raised scheme is verified by a simulation example.


Sign in / Sign up

Export Citation Format

Share Document