MODELS OF COMPLEX INDUSTRIAL FACILITIES ASSESSMENT BASED ON RISK APPROACH




Mixture Basis Function Approximation and Neural Network Embedding Control for Nonlinear Uncertain Systems with Disturbances

A neural network embedding learning control Resveratrol scheme is proposed in this paper, which addresses the performance optimization problem of a class of nonlinear system with unknown dynamics and disturbance by combining with a novel nonlinear function approximator and an improved disturbance observer (DOB).We investigated a mixture basic funct

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