Title :
Backstepping Neural Networks Switching Control for Switched Nonlinear Time-Delay System with Trigonal Structure Form
Author_Institution :
Guizhou Univ., Guiyang
fDate :
May 30 2007-June 1 2007
Abstract :
For a class of switched nonlinear time-delay systems whose subsystem with triangle structure, tracking switched stabilization problem is, in a backstepping way, investigated based on neural network in this paper. Combining with backsteppping, domination and adaptive bounding design technique together, an adaptive neural network switching control scheme is constructed which insures such system can track a given reference sign.
Keywords :
adaptive control; control system synthesis; delay systems; neurocontrollers; nonlinear control systems; stability; time-varying systems; adaptive bounding design technique; backstepping neural networks; domination technique; switched nonlinear time-delay system; switching control; trigonal structure form; Adaptive control; Adaptive systems; Automatic control; Backstepping; Control systems; Neural networks; Nonlinear control systems; Nonlinear systems; Programmable control; Switched systems; neural networks; switched nonlinear system; switching strategy; time-delay; trigonal structure;
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0818-4
Electronic_ISBN :
978-1-4244-0818-4
DOI :
10.1109/ICCA.2007.4376812