Dynamic Neural Network-based Adaptive Inverse Optimal Control Design
This dissertation introduces a Dynamical Neural Network (DNN) model based adaptive inverse optimal control design for a class of nonlinear systems. A DNN structure is developed and stabilized based on a control Lyapunov function (CLF). The CLF must satisfy the partial Hamilton Jacobi-Bellman (HJB) e...
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Format: | Others |
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OpenSIUC
2014
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Online Access: | https://opensiuc.lib.siu.edu/dissertations/891 https://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=1894&context=dissertations |