Satisfying optimal control of switching multiple models based on mixed logic dynamics
by Han-hua Xiong, Shao-yuan Li
International Journal of Modelling, Identification and Control (IJMIC), Vol. 10, No. 1/2, 2010

Abstract: For the sake of better performance of a class of non-linear system with soft constraints, this paper proposed satisfying optimal control for switching multiple model systems based on mixed logic dynamics. While combining with the fuzzy decision making methods, it made a balance among soft constraints, objectives and satisfying degree through the fuzzification of the soft constraints. The numerical simulation result revealed the validity of the algorithm.

Online publication date: Fri, 02-Jul-2010

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