DocumentCode :
2045233
Title :
Adaptive Quantized Control for a Class of Multivariable Nonlinear Systems via Backstepping
Author :
Zaihua Yang ; Xiaowei Yu ; Yan Lin
Author_Institution :
Beijing Inst. of Spacecraft Environ. Eng., Beijing, China
fYear :
2015
fDate :
2-5 Aug. 2015
Firstpage :
1578
Lastpage :
1582
Abstract :
We design an adaptive quantized control for a class of multivariable nonlinear systems. A backstepping controller is constructed based on a hysteretic quantizer. It is proved that by using the proposed method, all signals of the closed-loop system are bounded. A exact inequality is achieved which can be considered as a guideline for choosing the quantization parameter. By choosing suitable design parameters, the stabilization error can be made arbitrarily small.
Keywords :
adaptive control; closed loop systems; control nonlinearities; control system synthesis; multivariable control systems; nonlinear control systems; stability; adaptive quantized control; backstepping controller; closed-loop system; design parameters; hysteretic quantizer; multivariable nonlinear systems; quantization parameter; stabilization error; Adaptive systems; Backstepping; Nonlinear systems; Quantization (signal); State feedback; Uncertain systems; Adaptive backstepping; Multivariable nonlinear systems; Quantization; State feedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-7097-1
Type :
conf
DOI :
10.1109/ICMA.2015.7237720
Filename :
7237720
Link To Document :
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