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• W2913943965 abstract "For a class of discrete-time nonlinear systems with known internal dynamics, one of the problems worth discussing is H∞ formula, which could be used to attenuate the influence of disturbance effectively. To deal with the H∞ control problem for nonlinear systems with disturbance and input constraints, we need to get the solution of the corresponding Hamilton-Jacobi-Isaacs (HJI) equation that is difficult to solve by mathematical analysis. This paper provides an online adaptive critic learning algorithm to obtain the approximate Nash equilibrium solutions of the two-player zero-sum game, which has the close connection with H∞ control. Meanwhile, a non-quadratic performance functional is introduced to handle the constrained problem. In order to implement the algorithm, a framework based on actor-critic-disturbance structure is designed and three neural networks are constructed. Finally, via simulation study, the applicability of the proposed scheme is verified." @default.
• W2913943965 created "2019-02-21" @default.
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• W2913943965 date "2018-07-01" @default.
• W2913943965 modified "2023-09-23" @default.
• W2913943965 title "Adaptive Critic H∞ Control of Nonlinear Systems With Disturbance and Input Constraints" @default.
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• W2913943965 doi "https://doi.org/10.1109/wcica.2018.8630596" @default.
• W2913943965 hasPublicationYear "2018" @default.
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