Abstract
Min–max predictive control of a linear state-space system with a bounded set of input matrices is studied based on a quadratic performance criterion. Systems with stable and integrating dynamics as well as time-varying and time-invariant uncertainties are treated. Algorithms that are computationally manageable and ensure closed-loop stability are developed and tested.
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.
