Adaptive neural network control for a class of strict feedback non-linear time delay systems
by Cuiying Yan; Yang Li; Jianhua Zhang
International Journal of Modelling, Identification and Control (IJMIC), Vol. 21, No. 4, 2014

Abstract: This study develops a generalised procedure in adaptive neural network enhanced controller design for strict feedback non-linear time delay systems. Under the framework, recurrent neural network is tailored to accommodate the on-line identification, by which the weights of the neural network are iteratively and adaptively updated through the system state. Based on the neural network online approximation model, the state feedback adaptive controller is obtained by constructing a Lyapunov-Krasovskii function, which the integral type efficiently overcomes the controller singularity problem. To guarantee the correctness, rigorousness, and generality of the developed results, Lyapunov stability theory is used to prove the closed-loop control systems semiglobally, uniformly, and ultimately bounded stable. Two bench mark tests are simulated to demonstrate the effectiveness and efficiency of the procedure and furthermore these could be the showcases for potential users to apply to their demanded tasks.

Online publication date: Sat, 23-Aug-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Modelling, Identification and Control (IJMIC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com