Observer-based event-triggered optimal control for unknown nonlinear stochastic multi-agent systems with input constraints

نویسندگان

چکیده

This paper addresses the observer-based event-triggered optimal control (ETOC) for unknown nonlinear Ito^-type stochastic multi-agent systems (SMASs) with input constraints. To begin with, Hamilton-Jacobi-Bellman (HJB) equation constraints is presented, and a sufficient criterion on mean-square leader-following consensus of constrained-input SMASs derived. Next, novel policy iteration algorithm designed to obtain ETOC strategy. Then, an identifier-critic framework where identifier network utilized recover knowledge dynamics approximate controller via adaptive critic designs (ET-ACDs). Moreover, it proved that Zeno behavior can be excluded in sense expectation. Finally, we present two examples further verify validity scheme.

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ژورنال

عنوان ژورنال: Journal of The Franklin Institute-engineering and Applied Mathematics

سال: 2023

ISSN: ['1879-2693', '0016-0032']

DOI: https://doi.org/10.1016/j.jfranklin.2023.06.015