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The EMS is a typical unstable and nonlinear system. Applying fuzzy controller to it is getting much attention. This paper puts forward the fuzzy control on the EMS based on its prediction model, which has corrected the dynamic instability and eliminated the phenomena of the bigger overshoot or the system oscillation caused by the time-varying of the system, and by adding error weighting coefficient...
Fuzzy control is simple in design, and has strong robustness. It can obtain ideal control effect in the case of not firmly knowing the system model, and can be applied to many nonlinear systems. In order to effectively restrain the impact of network delays for networked control systems (NCS), a novel approach is proposed that modified Smith predictor combined with fuzzy adaptive PID control for the...
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