Multi-objective PID control for non-Gaussian stochastic distribution system based on two-step intelligent models |
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| Authors: | Yang Yi TianPing Zhang Lei Guo |
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| Affiliation: | YI Yang1,ZHANG TianPing1 & GUO Lei2 1 Department of Automation,College of Information Engineering,Yangzhou University,Yangzhou 225009,China,2 School of Instrumentation Science , Opto-Electronics Engineering,Beihang University,Beijing 100083 |
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| Abstract: | A new method for controlling the shape of the conditional output probability density function (PDF) for general nonlinear dynamic stochastic systems is proposed based on B-spline neural network (NN) model and T-S fuzzy model. Applying NN approximation to the measured PDFs, we transform the concerned problem into the tracking of given weights. Meanwhile, the complex multi-delay T-S fuzzy model with exogenous disturbances, parametric uncertainties and state constraints is used to represent the nonlinear weigh... |
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| Keywords: | probability density function non-Gaussian stochastic systems PID controller B-spline NN L1 performance index T-S fuzzy model |
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