Event-triggered adaptive dynamic programming for uncertain nonlinear systems

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Abstract

In this paper, the robust control for a class of continuoustime nonlinear system with unmatched uncertainties is investigated usinan event-triggered adaptive dynamic programming method. First, throbust control problem is solved using the optimal control method. Undethe event-triggered mechanism, the solution of the optimal control problem can asymptotically stabilize the uncertain system with an designetriggering condition. That is, the designed event-triggered controller robust to the original uncertain system. Then, a single critic networstructure with experience replay technique is constructed to approacthe optimal control policies. Finally, a simulation example is provided demonstrate the effectiveness of the proposed control scheme.

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Zhang, Q., Zhao, D., & Wang, D. (2017). Event-triggered adaptive dynamic programming for uncertain nonlinear systems. In Communications in Computer and Information Science (Vol. 710, pp. 13–26). Springer Verlag. https://doi.org/10.1007/978-981-10-5230-9_2

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