Abstract
An adaptive control algorithm applicable to non-minimum phase, discrete, linear, tiem invariant systems is presented. This algorithm does not require solving a Bezout identity at each sampling step by incorporating two different identification algorithms. The first one identifies the plant's parameters and provides them to the second one which in turn identifies the controller's parameters. Independent tracking and regulation objectives are achieved in the limit with bounded plant input and output for a range of initial plant parameters estimates.
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.
