DocumentCode :
2526041
Title :
Non-fragile H output tracking control for fishpond physiology ecosystems
Author :
Zhou, Bo ; Feng, Yi-Fu
Author_Institution :
Coll. of Life Sci., Jilin Normal Univ., Jilin, China
fYear :
2011
fDate :
23-25 May 2011
Firstpage :
4337
Lastpage :
4342
Abstract :
Using the delta operator approach, the problem of designing non-fragile H output tracking controller for fishpond physiology ecosystems is studied in a unified framework. The purpose of this problem addressed is to design a output tracking controller such that the closed-loop system is asymptotically stable and achieves tracking control performance for all admissible additive controller gain variations. The considered controller gain variation type is more general than the existing norm-bounded gain uncertainties. An improved version of bounded real lemma is also presented. A sufficient condition for the existence of such a controller is obtained in terms of linear matrix inequality (LMI) technique. Finally, a numerical example based on linearize model of a fishpond physiology ecosystem is given to illustrate the effectiveness of the proposed method.
Keywords :
H control; asymptotic stability; closed loop systems; ecology; linear matrix inequalities; LMI; additive controller gain variations; asymptotically stability; closed-loop system; delta operator approach; fishpond physiology ecosystems; gain variation control; linear matrix inequality; nonfragile H output tracking control; tracking control performance; unified framework; Additives; Control systems; Ecosystems; Linear matrix inequalities; Numerical models; Physiology; Uncertainty; Additive controller gain uncertainties; Delta operator approach; Fishpond physiology ecosystems; Linear matrix inequality; Output tracking controller;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
Type :
conf
DOI :
10.1109/CCDC.2011.5968989
Filename :
5968989
Link To Document :
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