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IEEE Region 10 Technical Conference on Computers, Communications, control and Power Engineering

作者： Li, PK Du, XX Gan, XJ No Jiaotong Univ Sch Mech Elect & Control Engn Beijing 100044 Peoples R China

ISBN: (纸本)0780374908

A PID-like neural net control algorithm is developed, and Genetic Algorithm is integrated into for optimizing the learning rates. The dynamic properties for an intermittent. Heating Ventilation Air Conditioning (HVAC) system are analyzed, and MATLAB/Simulink model for neural net control algorithm is introduced. The simulation for large delay systems and the industrial intermittent HVAC system application is reported.

关键词： neural net control genetic algorithm intermittent system realization

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Optimized neural net control Using Genetic Algorithm for Intermittent System

Optimized Neural Net Control Using Genetic Algorithm for Int...

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2002年IEEE十区计算机、通信、控制和电机工程会议

作者： Li Pingkang Du Xiuha Gan Xuejun School of Mechanical, Electronical and control Engineering Northern Jiaotong University, 100044 Beijing, China

A PID-like neural net control algorithm isdeveloped, and Genetic Algorithm is integrated into foroptimizing the learning rates. The dynamic properties foran intermittent Heating Ventilation Air Conditioning(HVAC) system are analyzed, and MATLAB/Simulinkmodel for neural net control algorithm is introduced. Thesimulation for large delay systems and the industrialintermittent HVAC system application is reported.

关键词： neural net control Genetic Algorithm Intermittent system Realization

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THE FUNCTIONAL-LINK net AND LEARNING OPTIMAL-control

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NEUROCOMPUTING 1995年第2期9卷 149-164页

作者： PAO, YH PHILLIPS, SM Department of Electrical Engineering and Applied Physics Case Western Reserve University 10900 Euclid Avenue Cleveland OH 44106 USA

We present a strategy for learning optimal control. The approach uses functional-link neural network implementations which have several beneficial properties giving advantages over the more common generalized delta rule implementations. The learning task is decomposed into three parts: identification and monitoring, one-step-ahead control generation, and control path optimization. Each of these parts is accomplished with its own functional-link net and these are coordinated to provide the real-time learning of the optimal control path.

关键词： neural net control FUNCTIONAL-LINK net REAL-TIME LEARNING OPTIMAL control

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A self-tuning type neural net controller for robotic manipulators

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Intelligent Automation and Soft Computing 1995年第2期1卷 221-230页

作者： Yuh, J. Autonomous Systems Laboratory Department of Mechanical Engineering University of Hawaii Honolulu HI 96822 United States

This article presents a self-tuning type neural net controller for robotic manipulators. A parallel recursive adaptation algorithm is described for on-line implementation of the neural net controller. The proposed control scheme does not require any information about the system dynamics. The control system was implemented for a cylindrical robot by computer simulation. The simulation result shows the effectiveness of the neural net controller and its adaptation and learning capability for nonlinear timevarying robot systems. © 1995 Taylor & Francis Group, LLC.

关键词： neural net control Robotic manipulator

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Research on Heading control of Air Cushion Vehicle

Research on Heading Control of Air Cushion Vehicle

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IEEE International Conference on Automation and Logistics

作者： Wang Cheng-long Fu Ming-yu Bian Xin-qian Shi Xiao-cheng Harbin Engn Univ Coll Automat Harbin Heilongjiang Pr Peoples R China

ISBN: (纸本)9781424425020

Air Cushion Vehicle (ACV) is a type of high performance watercraft. ACV can be propelled forward over the water, the ground and swale. It is widely used in both the civilian and military. Its operation is very different from general ships because of the structural particularity. We designed PIED controller and neural net (NN) controller used for ACV heading control. Simulation results show that NN controller performs better than normal PID controller in heading control of ACV, especially when ACV is disturbed by wind.

关键词： Air cushion vehicle Motion model Heading control neural net control

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The functional link net approach to the learning of real-time optimal control

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Annual Review in Automatic Programming 1992年 17卷 11-17页

作者： Yoh-Han Pao Department of Electrical Engineering and Applied Physics Case Western Reserve University Cleveland OH 44106 USA AI Ware Inc. Cleveland OH44106 USA

We present a strategy for learning optimal control. The approach uses functional-link neural network implementations which have several beneficial properties giving advantages over the more common generalized delta rule implementations. The learning task is decomposed onto three parts: identification and monitoring, one-step-ahead control generation and control path optimization. Each of these parts is accomplished with its own functional-link net and these are coordinated to provide the real-time learning of the optimal control path.

关键词： neural net control functional-link net real-time learning optimal controls

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The Functional Link net Approach to the Learning of Real-Time Optimal control

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IFAC Proceedings Volumes 1992年第10期25卷 11-17页

作者： Yoh-Han Pao Department of Electrical Engineering and Applied Physics Case Western Reserve University Cleveland OH 44106 USA and AI Ware Inc. Cleveland OH 44106 USA

We present a strategy for learning optimal control. The approach uses functional-link neural network implementations which have several beneficial properties giving advantages over the more common generalized delta rule implementations. The learning task is decomposed onto three parts: identification and monitoring, one-step-ahead control generation and control path optimization. Each of these parts is accomplished with its own functional-link net and these are coordinated to provide the real-time learning of the optimal control path.

关键词： neural net control functional-link net real-time learning optimal controls

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