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Application of New Type BP Neural Networks for Magnetic Measurement

High Technology Letters 2002年第2期8卷 83-86页

作者：张旭 Che Rensheng Kinouchi Y Luo Xiaochuan Dept. of Automatic Measurement and Control School of Computer Science and EngineeringHarbin Institute of Technology Harbin 150001 P.R.China Dept. of Electronic Engineering University of Tokushima Japan

Magnetic measurement is a typical inverse problem in Biomedical field. In this kind of problem we always need to locate the positions and moments of one or more magnetic dipoles. Although using the traditional methods to solve this kind of inverse problem has all kinds of shortcomings, BPNN (Back Propagation Neural Networks) method can be used to solve this typical inverse problem fast enough for real time measurement. In the traditional BPNN method, gradient descent search method is performed for error propagation. In this paper the authors propose a new algorithm that Newton method is performed for error propagation. For the cost function is highly nonconvex in the magnetic measurement problem, the new kind of BPNN can get convergent results quickly and precisely. A simulation result for this method is also presented.

关键词： magnetic measurement BP neural network gradient method Newton Gauss method

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A novel control algorithm based on immune feedback principle

A novel control algorithm based on immune feedback principle

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Proceedings of 2002 International Conference on Machine Learning and Cybernetics

作者： Qi, Zhen-Qiang Hu, Guang-Da Yang, Zhao-Hua Zhang, Fu-En Dept. of Control Science and Eng. Harbin Institute of Technology Harbin China Dept. Automatic Msrmt. and Control Harbin Institute of Technology Harbin China

ISBN: (纸本)0780375084

Based on analyzing the feedback principle of nature immune system, the immune process is imitated from the viewpoint of molecular dynamics and the nonlinear model of immune system is founded. Furthermore, a novel control algorithm based on immune feedback principle (IFCA) is designed. According to the result of simulation, the algorithm can respond rapidly and stabilize quickly, which is just like the nature immune system. And the performance of immune feedback controller is superior to that of ordinary controller.

关键词： Feedback control

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Robust Stabilization of Systems with Structured Uncertainty

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Chinese Journal of Aeronautics 2002年第4期15卷 228-233页

作者：曾建平柳晶晶林都 Dept. of Mechanics and Engineering Science Peking University Beijing 100871 China Dept. of Automatic Control North-China Institute of Technology Taiyuan 030051 China

This paper considers a class of uncertainties with the polynomial function form of perturbation parameters, which is analogous to a fact that part information is known for some uncertainties. A sufficient condition of robust stability is presented, and a method is also provided to estimate the stability bound for plants with the class of uncertainties. In the case of interval plants, this condition reduces to an existing result, which would show indirectly the condition is not too conservative. Methods are ...

关键词： robust stability robust stabilizing uncertainty systems LMI

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Prediction in iterative learning control schemes versus learning along the trials 15th

Prediction in iterative learning control schemes versus lear...

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15th World Congress of the International Federation of automatic control, 2002

作者： Rzewuski, M. Rogers, E. Owens, D.H. Dept. of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom Department of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom

ISBN: (纸本)9783902661746

Recent years has seen much progress in the theory and application of iterative learning control schemes for both linear and (classes of) nonlinear dynamics. In the case of the former, many algorithms based on minimizing a suitable cost function have been reported. Here the interest is in the so-called norm optimal approach where the basic philosophy is to compute the control input on the current trial such that the tracking error is reduced in an optimal way without too much deviation from the control input used on the previous trial. This paper compares the performance of a range of controllers arising from use of the norm optimal approach - both stand alone and against alternatives. Copyright © 2002 IFAC.

关键词： Iterative methods

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Implementation of constrained predictive outer-loop controllers: Application to a boiler control system 15th

Implementation of constrained predictive outer-loop controll...

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15th World Congress of the International Federation of automatic control, 2002

作者： Tadeo, Fernando Alvarez, Teresa Grimble, Mike Vilanova, Ramon Departamento de Ingenieria de Sistemas y Automática Facultad de Ciencias Universidad de Valladolid Valladolid47011 Spain Industrial Control Centre Strathclyde University United Kingdom Automatic Control and Systems Engineering Group Dept. of Computer Science Universitat Autonoma de Barcelona Bellaterra Barcelona08193 Spain

ISBN: (纸本)9783902661746

This paper addresses the problem of implementing predictive controllers for supervisory level control systems. In this configuration the manipulated variables calculated by the Predictive controller are used as command signals for the Distributed control Systems, which provide references to the operator-tuned local PID controllers that act on the physical system. This structure introduces the problem of loosing of performance if the inner-loop controllers are re-tuned. The paper discusses the solution to this problem based on the use of a two-degrees-of-freedom structure in the inner loop, that separates open and closed-loop properties. Both design guidelines and robustness issues are discussed. Copyright © 2002 IFAC.

关键词： controllers

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Adaptive load control algorithms for 3rd generation mobile networks 02

Adaptive load control algorithms for 3rd generation mobile n...

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Proceedings of the ACM International Workshop on Modeling, Analysis and Simulation of Wireless and Mobile Systems

作者： Nadjm-Tehrani, Simin Najarian, Kayvan Curescu, Calin Lingvall, Tomas Dahlberg, Teresa A. Dept. of Comp./Information Science Linköping University Linkoping Sweden Dept. of Computer Science Univ. of North Carolina at Charlotte Charlotte NC United States Center for Radio Network Control Ericsson Radio Systems Linköping Sweden

ISBN: (纸本)1581136102

In this paper we present strategies to deal with inherent load uncertainties in future generation mobile networks. We address the interplay between user differentiation and resource allocation, and specifically the problem of CPU load control in a radio network controller (RNC). The algorithms we present distinguish between two types of uncertainty: The resource needs for arriving requests and the variation over time with respect to user service policies. We use feedback mechanisms inspired by automatic control techniques for the first type, and policy-dependent deterministic algorithms for the second type. We test alternative strategies in overload situations. One approach combines feedback control with a pool allocation mechanism, and a second is based on a rejection-ratio-minimising algorithm together with a state estimator. A simulation environment and traffic models for users with voice, mail, SMS and web browsing sessions were built for the purpose of evaluation of the above strategies. Our load control architectures were tested in comparison with an existing algorithm based on the leaky bucket principle. The studies show a superior behaviour with respect to load control in presence of relative user priorities, and minimal rejection criteria. Moreover, our architecture can be tuned to future developments with respect to user differentiation policy.

关键词： Telecommunication networks

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The Dempster-Shafer approach to map-building for an autonomous mobile robot with fuzzy controller 5th

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5th International Conference on Asian Fuzzy Systems Society, AFSS 2002

作者： Kim, Young-Chul Cho, Sung-Bae Oh, Sang-Rok Dept. of Computer Science Yonsei University 134 Shinchon-dong Sudaemoon-ku Seoul Korea Republic of Bio-mimetic Control System Lab KIST 39-1 Hawolgok-dong Seongbuk-ku Seoul Korea Republic of

ISBN: (纸本)9783540431503

This paper develops a sensor based navigation method that utilizes fuzzy logic and the Dempster-Shafer evidential theory for mobile robot in uncertain environment. The proposed navigator consists of two behaviors: Obstacle avoidance and goal seeking. To navigate reliably in the environment, we facilitate a map building process before the robot finds a goal position and create a robust fuzzy controller. In this work, the map is constructed on two-dimensional occupancy grids. The sensor values are fused into the map using the Dempster-Shafer inference rule. Whenever the robot moves, it catches new information about the environment and replaces the old map with new one. With that process the robot can wander and find the goal position. The usefulness of the proposed method is verified by a series of simulations. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Mobile robots

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LMI based stability analysis and controller design for a class of 2D continuous-discrete linear systems

LMI based stability analysis and controller design for a cla...

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American control Conference (ACC)

作者： K. Galkowski W. Paszke B. Sulikowski E. Rogers D.H. Owens Institute of Control and Computation Engineering University of Zielona Gora Zielona Gora Poland Dept. Electronics and Computer Science University of Southampton Southampton U.K. Dept Automatic Control and Systems Engineering University of Sheffield Sheffield U.K

Differential linear repetitive processes are a distinct class of 2D continuous-discrete linear systems of both applications and systems theoretic interest. In the latter area, they arise, for example, in the analysis of both iterative learning control schemes and iterative algorithms for computing the solutions of nonlinear dynamic optimal control algorithms based on the maximum principle. Repetitive processes cannot be analysed/controlled by direct application of existing systems theory and to date there are few results on the specification and design of control schemes for them. The paper uses an LMI setting to develop the first really significant results in this problem domain.

关键词： Stability analysis control systems Linear systems System testing Iterative algorithms automatic control Algorithm design and analysis Optimal control control engineering computing Design engineering

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Delay differential control theory applied to differential linear repetitive processes

Delay differential control theory applied to differential li...

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American control Conference (ACC)

作者： E. Rogers K. Galkowski D.H. Owens Department Electronics and Computer Science University of Southampton Southampton UK Institute of Control and Computation Engineering University of Zielona Gora Zielona Gora Poland Dept Automatic Control and Systems Engineering University of Sheffield Sheffield UK

Differential linear repetitive processes are a distinct class of 2D continuous-discrete linear systems of both applications and systems theoretic interest. In applications, they arise in iterative learning control schemes and in iterative solution algorithms for nonlinear dynamic optimal control algorithms based on the maximum principle. Repetitive processes cannot be analysed/controlled by direct application of the existing systems theory and hence a 'mature' systems theory must be developed for them followed (where appropriate) by onward translation into efficient controller design algorithms. This paper continues the development of the former area by developing some significant new results on the application of currently available delay differential systems theory to these processes.

关键词： Delay control theory control systems Iterative algorithms automatic control Ear Metals industry Optimal control System testing computer science

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IMPLEMENTATION OF CONSTRAINED PREDICTIVE OUTER-LOOP controlLERS: APPLICATION TO A BOILER control SYSTEM

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IFAC Proceedings Volumes 2002年第1期35卷 145-150页

作者： Fernando Tadeo Teresa Alvarez Mike Grimble Ramon Vilanova Departamento de Ingenieria de Sistemas y Automática Facultad de Ciencias. Universidad de Valladolid. 47011 Valladolid Spain Tlf:+34 983 423566 Fax:+34 983 423161 Industrial Control Centre Strathclyde University United Kingdom Automatic Control and Systems Engineering Group Dept. of Computer Science Universitat Autonoma de Barcelona 08193 Bellaterra – Barcelona Spain

关键词： Supervisory control Predictive control

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