uncertain nonlinear systems
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2022 ◽  
Vol 417 ◽  
pp. 126784
Author(s):  
Zhefeng Yu ◽  
Feng Zhao ◽  
Shihong Ding ◽  
Xiangyong Chen




2022 ◽  
Vol 414 ◽  
pp. 126665
Author(s):  
Zhi-Hui Zhang ◽  
Li-Ying Hao ◽  
Mingjie Guo


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.



2022 ◽  
Author(s):  
Kasra Esfandiari ◽  
Farzaneh Abdollahi ◽  
Heidar A. Talebi




Author(s):  
Esmaeil Jalalabadi ◽  
Seyedeh Zahra Paylakhi ◽  
Ashkan Rahimi‐kian ◽  
Behzad Moshiri


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