Robust Output Feedback Tracking Control for Time-Delay Nonlinear Systems Using Neural Network

2007 ◽  
Vol 18 (2) ◽  
pp. 495-505 ◽  
Author(s):  
Changchun Hua ◽  
Xinping Guan ◽  
Peng Shi
Keyword(s):  
Neural Network ◽  
Time Delay ◽  
Nonlinear Systems ◽  
Output Feedback ◽  
Tracking Control ◽  
Feedback Tracking

scholarly journals Multi-Dimensional Taylor Network-Based Adaptive Output-Feedback Tracking Control for a Class of Nonlinear Systems

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 77298-77307 ◽  
Author(s):  
Shanliang Zhu ◽  
Lei Chu ◽  
Mingxin Wang ◽  
Yuqun Han ◽  
Shuguo Yang
Keyword(s):  
Nonlinear Systems ◽  
Output Feedback ◽  
Tracking Control ◽  
Feedback Tracking

scholarly journals Global Practical Tracking by Output Feedback for Nonlinear Systems with Unknown Growth Rate and Time Delay

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Xuehua Yan ◽  
Xinmin Song
Keyword(s):  
Time Delay ◽  
Nonlinear Systems ◽  
Output Feedback ◽  
Dead Zone ◽  
Tracking Error ◽  
Time Varying ◽  
Nonlinear Growth ◽  
Varying Time Delay ◽  
Dependent Growth ◽  
Feedback Tracking

This paper is the further investigation of work of Yan and Liu, 2011, and considers the global practical tracking problem by output feedback for a class of uncertain nonlinear systems with not only unmeasured states dependent growth but also time-varying time delay. Compared with the closely related works, the remarkableness of the paper is that the time-varying time delay and unmeasurable states are permitted in the system nonlinear growth. Motivated by the related tracking results and flexibly using the ideas and techniques of universal control and dead zone, an adaptive output-feedback tracking controller is explicitly designed with the help of a new Lyapunov-Krasovskii functional, to make the tracking error prescribed arbitrarily small after a finite time while keeping all the closed-loop signals bounded. A numerical example demonstrates the effectiveness of the results.

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