Decentralized output tracking control of a class of large-scale nonlinear systems via output feedback

2004 ◽  
Author(s):  
Wang Xing-ping ◽  
Cheng Zhao-lin
Keyword(s):  
Nonlinear Systems ◽  
Output Feedback ◽  
Tracking Control ◽  
Large Scale ◽  
Output Tracking ◽  
Output Tracking Control

scholarly journals H∞Static Output Tracking Control of Nonlinear Systems with One-Sided Lipschitz Condition

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Leipo Liu ◽  
Xiaona Song
Keyword(s):  
Nonlinear Systems ◽  
Lipschitz Condition ◽  
Output Feedback ◽  
Tracking Control ◽  
Linear Matrix ◽  
Feedback Gain ◽  
Static Output Feedback ◽  
Output Tracking ◽  
Output Tracking Control ◽  
Static Output

This paper is concerned withH∞static output tracking control of nonlinear systems with one-sided Lipschitz condition. The dimensions of system model and reference model may be different. A static output feedback controller is designed to guarantee that the system output asymptotically tracks the reference output withH∞disturbance rejection level. A new sufficient condition is derived to obtain the static output feedback gain by linear matrix inequality (LMI), and no equality constraints can be needed. Finally, an example is given to illustrate the effectiveness of the proposed method.

Output tracking control of high-order nonlinear systems with dynamic uncertainties

2019 ◽  
Vol 42 (8) ◽  
pp. 1511-1520
Author(s):  
Zong-Yao Sun ◽  
Yu-Jie Gu ◽  
Qinghua Meng ◽  
Wei Sun ◽  
Zhen-Guo Liu
Keyword(s):  
Nonlinear Systems ◽  
Tracking Control ◽  
Tracking Error ◽  
High Order ◽  
Approximation Technique ◽  
Zero Dynamic ◽  
Adding A Power Integrator ◽  
Output Tracking ◽  
Output Tracking Control ◽  
Dynamic Uncertainties

This paper investigates the output tracking control problem for a class of nonlinear systems with zero dynamic. On the basis of adding a power integrator method and approximation technique, an appropriate controller is proposed to guarantee that the tracking error turns to a preassigned neighborhood of the origin. The systems under investigation allow unmeasurable dynamic uncertainties, unknown nonlinear functions and unknown high-order terms. As an application, two examples are provided to illustrate the effectiveness of a control strategy.

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