Optimal Static Output Feedback Control of Fuzzy-Model-Based Control Systems

被引：0
|
作者：
Ho, Wen-Hsien [1 ]
Chen, Shinn-Horng [2 ]
Chou, Jyh-Horng [3 ]
Shu, Chun-Chin [3 ]
机构：
[1] Kaohsiung Med Univ, Dept Med Informat Management, Kaohsiung, Taiwan
[2] Natl Kaohsiung Univ Appl Sci, Dept Mech Engn, Kaohsiung 80778, Taiwan
[3] Natl Kaohsiung First Univ Sci & Technol, Inst Syst Informat & Control, Kaohsiung 80778, Taiwan
来源：
IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011) | 2011年
关键词：
static output feedback PDC controller; Takagi-Sugeno fuzzy model; orthogonal-functions approach; hybrid Taguchi-genetic algorithm; linear matrix inequalities; DESIGN;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
By integrating the stabilizability condition, the orthogonal-functions approach (OFA), and the hybrid Taguchi-genetic algorithm (HTGA), an integrative method is presented in this paper to design the stable and quadratic-optimal static output feedback parallel-distributed-compensation (PDC) controller such that (i) the Takagi-Sugeno (TS) fuzzy-model-based control system can be stabilized, and (ii) a quadratic integral performance index for the TS-fuzzy-model-based control system can be minimized. In this paper, the stabilizability condition is proposed in terms of linear matrix inequalities (LMIs). A design example of stable and quadratic-optimal static output feedback PDC controller for a nonlinear inverted pendulum system controlled by a separately excited direct-current (DC) motor is given to demonstrate the applicability of the proposed new integrative approach.
引用
收藏
页码：1774 / 1777
页数：4
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