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Non parametric identifier based on differential neural networks is presented. Nonlinear systems with the a priori information about state constrains are considered. Differential neural network identifier includes a projectional operator as part of its structure in order to keep the state restrictions. Stability analysis based on Lyapunov-Krasovskii energetic-function lets proof the ultimated boundedness...
In this paper a strategy based on differential neural networks for the identification of the parameters in a mathematical model described by partial differential equations is proposed. The identification problem is reduced to finding an exact expression for the weights dynamics using the differential neural networks properties. The adaptive laws for weights ensure the convergence of the neural network...
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