Additive-state-decomposition-based tracking control framework for a class of nonminimum phase systems with measurable nonlinearities and unknown disturbances

被引:32
作者
Quan, Quan [1 ]
Cai, Kai-Yuan [1 ]
Lin, Hai [2 ]
机构
[1] Beijing Univ Aeronaut & Astronaut, Beihang Univ, Dept Automat Control, Beijing 100191, Peoples R China
[2] Univ Notre Dame, Dept Elect Engn, Notre Dame, IN 46556 USA
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
additive state decomposition; output feedback; nonminimum phase nonlinear systems; uncertainties; tracking; GLOBAL STABILIZATION; SINUSOIDAL DISTURBANCES; OUTPUT-FEEDBACK; INVERSION; AIRCRAFT; DYNAMICS; MODEL;
D O I
10.1002/rnc.3079
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper aims to propose an additive-state-decomposition-based tracking control framework, based on which the output feedback tracking problem is solved for a class of nonminimum phase systems with measurable nonlinearities and unknown disturbances. This framework is to additively' decompose the output feedback tracking problem into two more tractable problems, namely an output feedback tracking problem for a linear time invariant system and a state feedback stabilization problem for a nonlinear system. Then, one can design a controller for each problem respectively using existing methods, and these two designed controllers are combined together to achieve the original control goal. The main contribution of the paper lies on the introduction of an additive state decomposition scheme and its implementation to mitigate the design difficulty of the output feedback tracking control problem for nonminimum phase nonlinear systems. To demonstrate the effectiveness, an illustrative example is given. Copyright (c) 2013 John Wiley & Sons, Ltd.
引用
收藏
页码:163 / 178
页数:16
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