Optimal control of nonlinear systems using Multi-Layer Perceptron Neural Network and adaptive extended Kalman Filter
In this paper we present a nonlinear optimal control method based on approximating the solution of Hamilton-Jacobi-Bellman (HJB) equation. Value function is approximated as the output of Multilayer Perceptron Neural Network (MLPNN). Parameters of MLPNN are weights and biases of each layer that form...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
OICC Press
2024-02-01
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| Series: | Majlesi Journal of Electrical Engineering |
| Subjects: | |
| Online Access: | https://oiccpress.com/mjee/article/view/5314 |
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