DocumentCode :
2289168
Title :
NN control of discrete-time MIMO systems with input delay
Author :
Zhang, Jin ; Dai, Shuling
Author_Institution :
Dept. of Autom. Control, Beijing Univ. of Aeronaut. & Astronaut.
fYear :
2006
fDate :
14-16 June 2006
Abstract :
In this paper, adaptive neural network (NN) control scheme is investigated for classes of discrete-time multi inputs multi outputs (MIMO) nonlinear systems with known input delay and triangular form inputs. By recursive substitution, the original system is transformed into an input-output based predictor model with the triangular form inputs structure unchanged. Neural networks are used to approximate the desired controls which can realize exact tracking. The closed loop system is proved to be semi-globally uniformly ultimately bounded (SGUUB) by using Lyapunov synthesis method
Keywords :
Lyapunov methods; MIMO systems; adaptive control; closed loop systems; delays; discrete time systems; neurocontrollers; nonlinear control systems; Lyapunov synthesis; adaptive neural network control; closed loop system; discrete-time MIMO systems; input delay; multi-inputs multi-outputs nonlinear systems; Adaptive control; Adaptive systems; Control systems; Delay systems; MIMO; Neural networks; Nonlinear control systems; Nonlinear systems; Predictive models; Programmable control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2006
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-0209-3
Electronic_ISBN :
1-4244-0209-3
Type :
conf
DOI :
10.1109/ACC.2006.1657171
Filename :
1657171
Link To Document :
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