Abstract

Abstract This paper addresses the problem of aperiodic sampled-data control of linear parameter varying (LPV) systems under input saturation. It is explicitly assumed that plant scheduling parameter can continuously vary between two sampling instants, while the control signal is computed using the measurement of this parameter only at the sampling instants. Assuming an affine parameter dependence, conditions based on the use of a parameter dependent (PD) looped-functional and a PD generalized sector approach, are proposed to compute a sampled-data LPV state feedback control law that ensures the regional asymptotic stability of the closed-loop system. LMI-based optimization procedures to maximize an estimate of the region of attraction of the origin or the allowable bound on the intersampling interval for a guaranteed region of stability are proposed.

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 call

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.