Abstract
In order to solve the limitations of limited sensing, communication, computing resources and energy supply in wireless sensor networks, a lot of basic research and development work have been carried out to study the optimal containment control problem of multi-agent systems with unknown disturbances. In this paper, through problem conversion, the robust containment control problem of the multi-agent system under unknown disturbances is first transformed into the optimal containment control problem of an auxiliary system, and a control method based on adaptive dynamic programming is proposed to solve the optimal containment control problem of multi-agent systems. Meanwhile, a VI algorithm for solving the optimal solution of the coupled DTHJB equation is proposed too. Then an actorcritic network is used to calculate the iterative solution by way of online learning with only data input and output. Finally, the simulation results verify the effectiveness of the proposed distributed control design.
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.
