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This paper discusses a problem of solving Hamilton-Jacobi inequality which is a main difficulty in nonlinear H ∞ control application. A neural networks approach is presented to obtain an approximate solution of Hamilton-Jacobi inequality. It will be shown that the problem can be formulated as a maximum value function optimization problem and then be solved by the proposed learning algorithm...
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