Abstract
The purpose of this paper is to consider the problem of adaptive control of a continuous-time single-input single-output nonlinear stochastic system which is sampled at regular time-intervals, subject to certain input (control) constraints. The (unknown) system is not required to be stable in the absence of control. Consequently, a strict saturation input constraint cannot be imposed if the closed-loop system is to remain stable. Therefore, a type of “long-term average control effort᾿ input constraint is imposed. A control law is presented and conditions on the sampling rate are found, such that the Markov chain consisting of the state and control at the sampling instants is ergodic, and the input constraint is satisfied.
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.
