Abstract

In this paper, reachable set estimation (RSE) and aperiodic sampled-data (SD) controller design for time-varying delay Markovian jump neural networks (MJNNs) is studied. Firstly, the two-sided loop-based Lyapunov functional (LBLF) is constructed, and sufficient conditions for all states to be bounded in ellipsoid are derived via using the free-weight matrix method, and ellipsoids of various sizes can be derived by controlling the SD intervals. Secondly, RSE is taken into account in the design of aperiodic SD controller, which seeks to enable the ellipsoid to include the reachable set of the system and render the system stable. Finally, the methodology of this paper is validated by practical cases.

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.