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WHAT DOES CHAOS HAVE TO DO WITH SYSTEMS AND control engineering?

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Journal of Systems Science & Complexity 2001年第1期14卷 31-39页

作者： CHEN Guanrong (Department of Electrical and Computer engineering, University of Houston, Houston, Texas 77204, USA Department of Electronic engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China) University of Houston 美国 77204

Chaos as a very special type of complex dynamical behaviors has been studied for about four decades. Yet the traditional trend of analyzing and understanding chaos has evolved to controlling and utilizing chaos today. Research in the field of chaos modeling, control, and synchronization includes not only ordering chaos, which means to weaken or completely suppress chaos when it is harmful, but also chaotification, which refers to enhancing existing Chaos or creating chaos purposely when it is useful, by any means of control technology. This article offers a brief overview about the potential impact of controlled chaos on beneficial applications in science and engineering, and introduces some recent progress in chaotification via feedback control methods.

关键词： Chaos chaos control chaotification complexity feedback.

Application of model simulation aided instruction in teaching the courses of Water Pollution control engineering

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Application of model simulation aided instruction in teachin...

Generating Chaos by Feedback control for engineering Applications

第三届教学管理与课程建设学术会议

作者： Qing TIAN, Gang XUE, Zhenghong LIU dept. of Environmental Science and engineering, DongHua University, ShangHai, China

Model simulation aided designs have being introduced into the courses of Water Pollution control engineering in many well-developed countries, but are still limited in use among the universities of China. In this paper, detailed information on model simulation established by BIOWIN software are provided to demonstrate their powerful function in aiding the instruction of designing on different levels: from introduction of the foundation in designing of the sequenced batch reactors (SBRs) to the simulation of complicated modified SBR processes in the real Waste water treatment plants (WWTPs) to satisfy different-level instructional requirements for the courses, i.e. Unit design foundation & exercises for undergraduate students and advanced process design and diagnose for graduate students. With presenting of vivid simulated designing and operation results of the constructed processes, BIOWIN model simulated designs are favored by the testing students. We can expect a broad and extending application of this new teaching methodology in the future instruction Water Pollution control engineering.

关键词： Model simulation aided instruction BIOWIN SBR processes Instructional stages

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Generating Chaos by Feedback Control for Engineering Applica...

Economic Risk Analysis Method of Flood control engineering System Based on Stochastic Simulation of Triangular Fuzzy Numbers

第十九届中国控制会议

作者： Guanrong (Ron) Chen Department of Electronic engineering, City University of Hong Kong

＜正＞Chaos as a very special type of complex dynamical behavior has been studied for about four decades. Yet the traditional trend of analyzing and understanding chaos has evolved to ordering and utilizing chaos today. Research in the field of chaos modeling, control, and synchronization includes not only controlling chaos, which means to weaken or completely suppress chaos when it is harmful, but also anti-control of chaos, which refers to enhancing existing chaos or creating chaos purposely when it is useful, by any means of automatic control. This article offers a brief overview about potential impact of chaos on beneficial applications in engineering, and introduces some recent progress in anti-controlling chaos via feedback control methods.

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Economic Risk Analysis Method of Flood Control Engineering S...

On characteristic modeling of a class of flight vehicles'attitude dynamics

2009中国控制与决策会议

作者： JIN Ju-liang~(1,2),FAN Qiu-ying~2,ZHANG Ming~3,ZHOU Yu-liang~2 1.Chengdu Institute of Plateau Meteorology,CMA,Chengdu 610072,China. 2.School of Civil engineering,Hefei University of Technology,Hefei 230009,China. 3.College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China.

＜正＞Economic risk analysis of flood control engineering system is very important in risk management of flood *** triangular fuzzy numbers theory was used to describe and deal with randomicity and fuzziness of economic risk system of flood control engineering,and the shortage and imprecision of datum *** order to deal with the difficulties of operations of triangular fuzzy numbers and their functions,Monte-Carlo method was used to simulate triangular fuzzy numbers,which can transform the operations of triangular fuzzy numbers and their functions into the conventional operations of real numbers,and then a new economic Risk Analysis Method for flood control engineering system based on Stochastic Simulation of Triangular Fuzzy Numbers,named RAM-SSTFN for short,was *** applied results of RAM-SSTFN show that economic benefit series of flood control engineering system can be simulated using Monte-Carlo method,that RAM-SSTFN can consider more complex things and give more exact computation results than the simple analysis methods of economic risk analysis of flood control engineering system,and that the common simple analysis methods should be used carefully in economic risk analysis of important regional flood control engineering system because their computation precision is not ***-SSTFN can be used to deal with less,imprecise, random and fuzzy information,so it can be widely applied to risk management of different uncertainties systems.

关键词： flood control system economic risk analysis triangular fuzzy numbers Monte-Carlo method risk management

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Science China(Technological Sciences) 2010年第8期53卷 2074-2080页

作者： MENG Bin &WU HongXin National Laboratory of Space Intelligent control,Beijing Institute of control engineering,Beijing 100190,China National Laboratory of Space Intelligent control Beijing Institute of Control Engineering Beijing China

The characteristic modeling problem of flight vehicles'attitude dynamics is considered in this *** terms of the affine nonlinear system with triangle form of flight vehicles'attitude dynamics,a general method is presented to compress the dynamics into the characteristic model parameters,by introducing the time scale of nonlinear systems and a class of system states related compress *** parameter region and limit of the characteristic model are also *** the given parameter region it is seen that the bound of the characteristic model parameters is dependent on the sampling period,the modeling error,the system order and the system change *** modeling error of the established characteristic model can be arbitrarily small according to the control precision,showing the difference between the characteristic model and other model reduction methods,that is,no system information is lost using this *** the basis of this modeling approach,the characteristic model of the flexible satellite attitude is established,as well as the bound and limit of the parameters,which sets a theoretical foundation for characteristic model based control design of flight vehicles.

关键词： characteristic modeling modeling error time scale of nonlinear systems spacecraft attitude dynamics

INTELLIGENT control FOR ELECTRO-HYDRAULIC PROPORTIONAL POSITION SERVO SYSTEM

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中国有色金属学会会刊：英文版 1996年第2期6卷 132-137页

作者： Luo An Gui Weihua (Department of Automatic control engineering,Central South University of Technology, Changsha 410083) Department of Automatic control engineering Central South University of Technology Changsha 410083 China

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ＩＮＴＥＬＬＩＧＥＮＴＣＯＮＴＲＯＬＦＯＲＥＬＥＣＴＲＯ－ＨＹＤＲＡＵＬＩＣＰＲＯＰＯＲＴＩＯＮＡＬＰＯＳＩＴＩＯＮＳＥＲＶＯＳＹＳＴＥＭＬｕｏＡｎ；ＧｕｉＷｅｉｈｕａ（ＤｅｐａｒｔｍｅｎｔｏｆＡｕｔｏｍａｔｉｃＣｏｎｔｒｏｌＥｎｇｉｎｅｅｒｉｎｇ，...

关键词： intelligent control pole placement digital flow compensation electrohydraulic proportionalcontrol

Dynamics and control designs for internal thermally coupled distillation columns with different purities,Part 1:Open loop dynamic behaviors

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Progress in Natural Science:Materials International 2006年第5期16卷 346-351页

作者： ZHU Yu, LIU Xinggao and CHU Jian National Laboratory of Industrial control Technology, Department of control Science and engineering, Zhejiang University, Hangzhou 310027, China National Laboratory of Industrial control Technology Department of Control Science and Engineering Zhejiang University Hangzhou 310027 China

The open loop dynamic behaviors of internal thermally coupled distillation column with four different purities (low-, moderate-, high- and very high-purity) are studied. These dynamic behaviors are characterized by strong asymmetric non-linearity, high sensitivity to operation conditions change and distinct inverse response. With the increase of purity, these dynamic behaviors are intensified and become more complex, which easily lead to the mismatch between linear model and plant and also change the relationship between manipulated and controlled variables.

关键词： thermal coupling inverse response non-linearity high purity asymmetric behavior.

A Cognitive Science Framework for the Analysis of Knowledge-Based Systems

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Journal of Systems engineering and Electronics 1994年第2期5卷 60-67页

作者： Feng Shan (Department of Automatic control engineering, Huazhong University of Science and Technology, Wuhan,Hubei, 430074 PRC) Department of Automatic control engineering Huazhong University of Science and Technology Wuhan Hubei 430074 PRC

The paper presents a cognitive science framework for the analysis of knowledge-based systems,including people, media. simulation and expert systems, resulting in a practical model for the procedures ofknowledge engineering. Starting with the construct of a social organization model driven by anticipationand thed differentiating this into pesonal scientists with diverse relations to people and their internal andexternal communication, it provides powerful and general model of society. people, and the roles of peoplein society. This model extends naturally ic the role of conventional media in the knowledge processes ofsociety and the new roles of computer-based simulation and expert systems. In particular it provides amodel of knowledge transfer that enables the processes of knowledge engineering to be analyzed andautomated.

关键词： Cognitive modeling Knowledge-based systems Knowledge engineering Communal scientist Media.

A new approach to adaptive control design without overparametrization for a class of uncertain nonlinear systems

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Science China(Information Sciences) 2011年第7期54卷 1419-1429页

作者： ZHANG Jian & LIU YunGang School of control Science and engineering,Shandong University,Jinan 250061,China School of control Science and engineering Shandong University Jinan China

This paper considers the globally stabilizing adaptive controller design for a class of more general uncertain high-order nonlinear systems with unknown control *** the existing literature has solved the problem,for n-dimensional systems,the existing methods need at least n + 1 dynamic updating laws for the unknown parameters to construct the stabilizing adaptive controller;that is,the dimension of the dynamic compensator is not less than n + 1,and therefore,there exists serious *** this paper,by defining some new unknown parameters which need dynamic updating,also by using adding a power integrator and related adaptive technique,the overparametrization is successfully solved and a new approach is given to design stabilizing adaptive controller based on only one parameter updating law.A simulation example is finally provided to demonstrate the validness of the proposed approach.

关键词： high-order nonlinear systems unknown control coefficients overparametrization stabilizing con- trol design adding a power integrator adaptive technique