Title :
Adaptive backstepping control of uncertain nonlinear systems with input quantization
Author :
Jing Zhou ; Changyun Wen
Author_Institution :
Int. Res. Inst. of Stavanger, Bergen, Norway
Abstract :
In this paper, we study a class of feedback nonlinear systems, where the input signal takes quantized values. We consider a stabilization problem for nonlinear uncertain systems via adaptive backstepping approach. The control design is achieved by introducing a logarithmic quantizer and using backstepping technique. A guideline is derived to select the parameters of the quantizer. The designed controller together with the quantizer ensures the stability of the closed loop system in the sense of signal boundedness.
Keywords :
adaptive control; closed loop systems; control system synthesis; feedback; nonlinear control systems; stability; uncertain systems; adaptive backstepping control; closed loop system; control design; feedback systems; input quantization; logarithmic quantizer; signal boundedness; stability; uncertain nonlinear systems; Adaptive control; Backstepping; Control systems; Nonlinear systems; Quantization (signal); Stability analysis; Adaptive control; backstepping; logarithmic quantizer; nonlinear systems; quantized input;
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
Print_ISBN :
978-1-4673-5714-2
DOI :
10.1109/CDC.2013.6760767