Optimal control for nonlinear systems via dynamic neural network control (DNNC)

Design techniques for nonlinear dynamic systems are closely related to their stability properties. Stability results can be used to design an optimal controller. The paper discusses the stability analysis of the dynamic neural network control (DNNC). The results from the DNNC stability analysis are used to define the neural network stability index (NNSI). NNSI can be used to determine the optimal DNNC network structure and controller. An optimal DNNC is designed for the nonisothermal CSTR as an example of a wide class of nonlinear processes.<
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