TY - JOUR

T1 - Adaptive control of nonlinear systems using neural networks

AU - Chen, Fu-Chuang

AU - Khalil, Hassan K.

PY - 1990/12/5

Y1 - 1990/12/5

N2 - Layered neural networks are used in a nonlinear adaptive control problem. The plant is an unknown feedback-linearizable discrete-time system, represented by an input-output model. A state space model of the plant is obtained to define the zero dynamics, which are assumed to be stable. A linearizing feedback control is derived in terms of some unknown nonlinear functions. To identify these functions, it is assumed that they can be modeled by layered neural networks. The weights of the networks are updated and used to generate the control. A local convergence result is given. Computer simulations verify the theoretical result.

AB - Layered neural networks are used in a nonlinear adaptive control problem. The plant is an unknown feedback-linearizable discrete-time system, represented by an input-output model. A state space model of the plant is obtained to define the zero dynamics, which are assumed to be stable. A linearizing feedback control is derived in terms of some unknown nonlinear functions. To identify these functions, it is assumed that they can be modeled by layered neural networks. The weights of the networks are updated and used to generate the control. A local convergence result is given. Computer simulations verify the theoretical result.

UR - http://www.scopus.com/inward/record.url?scp=0025553234&partnerID=8YFLogxK

U2 - 10.1109/CDC.1990.203912

DO - 10.1109/CDC.1990.203912

M3 - Conference article

AN - SCOPUS:0025553234

SN - 0191-2216

VL - 3

SP - 1707

EP - 1712

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

M1 - 203912

T2 - Proceedings of the 29th IEEE Conference on Decision and Control Part 6 (of 6)

Y2 - 5 December 1990 through 7 December 1990

ER -