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