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