Title :
Quantized stabilization of nonlinear cascaded systems with dynamic uncertainties
Author :
Tengfei Liu ; Zhong-Ping Jiang
Author_Institution :
Northeastern Univ., Shenyang, China
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, a novel recursive design method is developed 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; cascade systems; control system synthesis; nonlinear systems; state feedback; uncertain systems; asymptotic stabilization; dynamic uncertainties; input-to-state stability; nonlinear cascaded systems; quantization; quantized control law; quantized partial-state feedback stabilization; quantized stabilization; recursive design method; small-gain theorem; Aerospace electronics; Control systems; Convergence; Feedback control; Nonlinear systems; Quantization (signal); Uncertainty; asymptotic stabilization; dynamic uncertainties; nonlinear systems; quantized control;
Conference_Titel :
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-7097-1
DOI :
10.1109/ICMA.2015.7237602