Robust stabilization of a class of non-minimum-phase nonlinear systems in a generalized output feedback canonical form

被引:7
作者
Fu, Jun [1 ]
Jin, Ying [1 ]
Zhao, Jun [2 ]
Dimirovski, G. M. [3 ]
机构
[1] Concordia Univ, Fac Engn & Comp Sci, Montreal, PQ H3G 2W1, Canada
[2] Northeastern Univ, Fac Informat Sci & Engn, Shenyang 110004, Peoples R China
[3] Dogus Univ, Fac Engn, Dept Comp Engn, TR-34722 Istanbul, Turkey
基金
高等学校博士学科点专项科研基金; 中国国家自然科学基金;
关键词
adaptive output feedback; generalized output feedback canonical form; backstepping; robust control; small-gain theorem; SMALL-GAIN APPROACH; LINEARIZABLE SYSTEMS; ADAPTIVE-CONTROL; CONTROLLER; DESIGN; TOOL;
D O I
10.1002/acs.1041
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a globally robust stabilizer for a class of uncertain non-minimum-phase nonlinear systems in generalized output feedback canonical form is designed. The system contains unknown parameters multiplied by output-dependent nonlinearities and output-dependent nonlinearities enter such a system both additively and multiplicatively. The proposed method relies on a recently developed novel parameter estimator and state observer design methodology together with a combination of backstepping and small-gain approach. Our design has three distinct features. First, the parameter estimator and state observer do not necessarily follow the classical certainty-equivalent principle any more. Second, the design treats unknown parameters and unmeasured states in a unified way. Third, the technique by combining standard backstepping and small-gain theorem ensures robustness with respect to dynamic uncertainties. Finally, two numerical examples are given to show that the proposed method is effective, and that it can be applied to more general systems that do not satisfy the cascading upper diagonal dominance conditions developed in recent papers, respectively. Copyright (C) 2008 John Wiley & Sons, Ltd.
引用
收藏
页码:260 / 277
页数:18
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