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Nonlinear system PID-type multi-step predictive control

控制理论与应用（英文版） 2004年第2期2卷 201-204页

作者： YanZHANG ZengqiangCHEN ZhuzhiYUAN DepartmentofAutomanon HebeiUniversityofTechnolog3Tianjin300130China DepartmentofAutomation NankaiUniversityTianjin300071China

A compound neural network was constructed during the process of identification and multi-step prediction. Under the PID-type long-range predictive cost function, the control signal was calculated based on gradient algorithm. The nonlinear controller’s structure was similar to the conventional PID controller. The parameters of this controller were tuned by using a local recurrent neural network on-line. The controller has a better effect than the conventional PID controller. Simulation study shows the effectiveness and good performance.

关键词： multi-step predictive control Neural networks PID control Nonlinear system

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Neural Network Modeling and Generalized predictive control For Giant Magnetostrictive Actuators

Neural Network Modeling and Generalized predictive control F...

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2009中国控制与决策会议

作者： ShiFeng Hu,ShiJian Zhu,MinJun Zhong,QiWei He College of Ship and Power,Naval University of Engineering,Wuhan 430030 China

In the application of the Giant Magnetostrictive actuators(GMA),hysteresis of the GMA is particularly significant and causes undesired effect in the control *** paper investigates the application of neural network based on generalized predictive control to eliminate the hysteresic effect of *** modified Elman neural network is used as the multi-step predictive model,the fused identification model is proposed to improve the predictive and control *** modified Elman neural network on-line learning improves the control system adaptability to the unpredicted operating envirnment for *** on GMA position cotrol are included to illustrate the effectiveness of the proposed control scheme.

关键词： Giant Magnetostrictive Actuators Neural network MENN multi-step predictive control

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multivariable Large Delay System Neural Network multi-step predictive Dynamic Modeling Research

Multivariable Large Delay System Neural Network Multi-step P...

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第三十届中国控制会议

作者： SHI Buhai,FANG Zhixiong Automation Science & Engineering College,South China University of Technology,Guangzhou 510641,P.R.China

＜正＞The paper mainly introduce the dynamic modeling method of multi-step predictive neural network in the large delay *** proposed the improved LMBP algorithm,and then discussed the algorithm and structure of neural network and dynamic response characteristics of large delay system in *** based on single variable delay system modeling frame presented multivariable large delay system’s neural network multi-step predictive modeling new *** have done simulation to multi-step predictive modeling based on the data of the water purification coagulant sedimentation delay system.

关键词： Delay System Neural Network multi-step predictive control Water Purification Process

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