DocumentCode :
175941
Title :
Quantized feedback stabilization of nonlinear cascaded systems with dynamic uncertainties
Author :
Tengfei Liu ; Zhong-Ping Jiang
Author_Institution :
State Key Lab. of Synthetical Autom. for Process Ind., Northeastern Univ., Shenyang, China
fYear :
2014
fDate :
May 31 2014-June 2 2014
Firstpage :
1620
Lastpage :
1625
Abstract :
This paper studies the quantized partial-state feedback stabilization of a class of nonlinear cascaded systems with dynamic uncertainties. Under the assumption that the dynamic uncertainties are input-to-state practically stable, we develop a novel recursive design method for quantized stabilization by taking into account the influence of quantization and using the small-gain theorem. When the dynamic uncertainty is input-to-state stable, asymptotic stabilization can be achieved with the proposed quantized control law.
Keywords :
asymptotic stability; control system synthesis; input-output stability; nonlinear control systems; state feedback; uncertain systems; asymptotic stabilization; dynamic uncertainty; input-to-state stability; nonlinear cascaded system; partial-state feedback stabilization; quantized control law; quantized feedback stabilization; recursive design method; small-gain theorem; Control systems; Educational institutions; Electronic mail; Nonlinear dynamical systems; Quantization (signal); Uncertainty; Quantized control; asymptotic stabilization; dynamic uncertainties; nonlinear systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
Type :
conf
DOI :
10.1109/CCDC.2014.6852427
Filename :
6852427
Link To Document :
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