Nov 1, 2022 · In this paper, an adaptive critic method based on neural networks is established to solve the tracking control problem for multi-person ...
In this paper, an adaptive critic method based on neural networks is established to solve the tracking control problem for multi-person zero-sum games with ...
Apr 12, 2023 · In this paper, a novel event-triggered optimal control approach is developed to solve zero-sum game problems for continuous-time multi-player ...
Jul 24, 2023 · In this paper, the safe optimal control method for continuous-time (CT) nonlinear safety-critical systems with asymmetric input constraints ...
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In this paper, an H∞ optimal tracking controller for completely unknown discrete-time nonlinear systems with control constraints is obtained by using an ...
... learning for tracking control design of constrained nonlinear multi-person zero-sum games. Abstract. In this paper, an adaptive critic method based on neural ...
Vamvoudakis, K.G., Modares, H., Kiumarsi, B., Lewis, F.L.: Game theory-based control system algorithms with real-time reinforcement learning: how to solve ...
By utilizing a neural-network-based adaptive critic mechanism, the optimal tracking control problem is investigated for nonlinear continuous-time (CT) ...
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In this paper, we solve the zero-sum game problems for discrete-time affine nonlinear systems with known dynamics via iterative adaptive dynamic programming ...
Jan 1, 2023 · Abstract—This study provides a novel reinforcement learning- based optimal tracking control of partially uncertain nonlinear.
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