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A traditional PID regulator is usually used to control water level of pressurizer in modern reactors. For such a non-linear and complex time-varying control system, PID regulator is often shown by the large amount of overshoot and long setting time which are not the desired results. In this paper, a compound controller based on cerebellar model articulation controller (CMAC) neural network and PID...
In this paper, a new kind of intelligent PID control method based on BP neural network is presented and a complex neural network PID controller is designed. The NN controller has strong self-adaptability and self-learning abilities. Experimental results on different complex objects prove that, the control method has better performances than traditional PID controller. The system using neural network...
This note deals with the problem of robust Hinfin control for uncertain singular stochastic systems with state delay and Brownian motion. The state feedback control laws are designed to guarantee that the resulting closed-loop system is regular, impulse-free and mean-square asymptotically stable for all admissible uncertainties. And a prescribed Hinfin performance is achieved in the robust Hinfin...
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