Abstract
To control a system with model uncertainty, adaptive control is an available approach. In this paper we investigate adaptive control in the field of finite state machines with respect to states. The task of the adaptive control is to synthesize an unfixed-parameter controller that invokes an adaptive law to realize a desired behavior. Especially, the adaptive law relies on a reference model. Thus, the title of model-reference adaptive control is adopted. We derive a sufficient and necessary condition for the existence of such an adaptive controller. Based on the condition, the corresponding controller design problem is resolved. As the design process, semi-tensor product of matrices is the core mathematical tool. Thus, for finite state machines with respect to states, model-reference adaptive control is incorporated into the framework of semi-tensor product of matrices.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: IEEE Transactions on Circuits and Systems II: Express Briefs
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.