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This paper presents a neural adaptive controller for a class of nonlinear system in the presence of input saturation and arbitrary unknown information by integrating the design framework of neural networks (NNs) with the dynamic surface control (DSC) and backstepping technique. NNs are directly used to deal with unknown nonlinear terms. By introducing a well-defined smooth function and a Nussbaum...
With the scale of interconnected power grid expanding, the topology of fault network and admittance parameters become unavailable, which makes it difficult for line personnel in power system to do transient stability analyses. Aiming to solve the problem, this paper proposed the multivariate linear regression algorithm (multiple linear regression, the MLR) to identify the node admittance parameters...
The stability with respect to partial variables is deduced by using the generalized Dahlquist constant and impulsive control theory, and the stability of whole variables is obtained further. The proposed approach offers a simple criterion to ensure impulsive synchronization of two couple hyperchaotic Chen system, and numerical simulations also demonstrate the effectiveness and feasibility of the proposed...
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