Abstract
In this paper, first we propose an algorithm of adaptive control scheme for systems whose dynamics are unknown and it is shown that the control converges to the approximate optimal state feedback control solution. In the algorithm, we introduce integrators in front of unknown systems, in order to transform the systems into an augmented ones whose input dynamics is known, then, we use policy iteration to find an approximate optimal control input. Second, we propose an extended algorithms, which is an adaptive output optimal control algorithm for systems which are unknown and only output is measurable. Validity are confirmed by numerical simulation.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
