Title :
Adaptive reliable H∞ controller design for linear systems with quantized state feedback
Author :
Zhao, Xingang ; Ye, Dan
Author_Institution :
State Key Lab. of Robot., Chinese Acad. of Sci., Shenyang, China
Abstract :
This paper addresses the design problem of reliable H∞ controller for linear systems with state quantization. By combining linear matrix inequality technique and indirect adaptive method, a new method is proposed to design a reliable controller against actuator faults via quantized state feedback. The controller gains are updating according to the on-line estimation of eventual faults, which are dependent on the quantized state signals. Meanwhile, the proposed designs conditions with variable gains can be proved to be less conservative than those of the traditional controller with fixed gains. A numerical example is presented to illustrate the effectiveness of the proposed method.
Keywords :
H∞ control; adaptive control; control system synthesis; linear matrix inequalities; linear systems; state feedback; adaptive reliable H∞ controller design; indirect adaptive method; linear matrix inequality technique; linear systems; quantized state feedback; quantized state signals; reliable controller; state quantization; Actuators; Linear matrix inequalities; Quantization; Reliability engineering; Reliability theory; State feedback; H∞ control; Reliable control; adaptive control; linear matrix inequalities (LMIs); quantized state feedback;
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
DOI :
10.1109/CCDC.2011.5968742