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IEEE International Conference on systems, Man and Cybernetics

作者： Yaping Dai Guanghui Yu Kotaro Hirasawa Department of Electrical and Electronic System Engineering Graduate School of Information Science and Electrical Engineering Kyushu University Japan Department of Automatic Control Beijing Institute of Technology China

We present a new observation model to improve the state estimation and prediction in a target tracking problems. There are two distinguished points in this approach. First, the measurement equation is set up in the polar coordinate and even combines the derivation measurement (range rate, azimuth rate, and elevation rate) with the usual position measurements (range, azimuth angle, and elevation angle). Next, the observation noise of sensor data is considered as a colored one and is being set up as a model of AR(1), by means of a pseudo measurement equation, and the requirement of Kalman filter can be satisfied. As a result, the accuracy of both the observation and prediction is increased.

关键词： Noise measurement Equations Coordinate measuring machines Colored noise Position measurement Target tracking Azimuth Radar tracking White noise Electric variables measurement

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An agent-based architecture in geographical information system

An agent-based architecture in geographical information syst...

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American control Conference (ACC)

作者： Tang Chao Feng Shan Qiu Rendong L.D. Xu Department of Automatic Control Engineering Institute of Systems Engineering Huazhong University of Science and Technology Wuhan Hubei China Department of Management Science and Information System Wright State University Dayton OH USA

In this paper, agent-based architecture has been introduced into GIS for interactability and scalability. We have developed an interface agent to interactively assist the user with the query formation process. The interface agent has a capability of offering domain knowledge that is associated with a given query. Also the agent records users troubleshooting experience and show them to the same user and other user as hints. Further, we also have developed the agent-based architecture with a 2-tier mediator model in GIS to meet the needs for interoperability among diverse application domains and integration of heterogeneous information source. Also broker agent provides a matchmaking service to other agent. As a result, qualitative and quantitative data can be integrated into GIS. Also we describe a prototype system, GXGIS, using agent-based technology.

关键词： Information systems Geographic Information systems Management information systems Database systems systems engineering and theory Data models Geography Chaos Information management Technology management

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Interactive on-line evaluation of robot motion control

Interactive on-line evaluation of robot motion control

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IEEE Conference on control Technology and Applications (CCTA)

作者： A. Valera A. Robertsson K. Nilsson R. Johansson Department of System Engineering & Automation Valencia Technical University Valencia Spain Department of Automatic Control Lund Institute of Technology Lund University Lund Sweden Lund Institute of Technology Department of Computer Science Lund University Lund Sweden

This paper presents a new real-time architecture for motion control of industrial robots. The new control system obtained has two main advantages: first it provides a total open control architecture and the second advantage is the simplicity and the interactivity of the platform developed. Experimental evaluation of a passivity-based control scheme shows the benefits of the architecture which is unique in the sense that open and advanced control can be combined with built-in safety logic as required in industrial applications.

关键词： Robot motion Motion control Robot control Industrial control control systems Electrical equipment industry Service robots Robot sensing systems Safety Logic

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Use of pseudo measurement to real-time target tracking

Use of pseudo measurement to real-time target tracking

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IEEE International Conference on systems, Man and Cybernetics

作者： Yaping Dai K. Hirasawa J. Murata Jinglu Hu Chunzhi Jin Zhen Liu Department of Automatic Control Beijing Institute of Technology China Department of Electrical and Electronic System Engineering Graduate School of Information Science and Electrical Engineering Kyushu University Japan Department of Earth Resource Engineering Graduate School of Engineering Kyoto University Japan

In this paper, a pseudo measurement model is adopted to deal with the Kalman filter problem with color measurement noise. It is assumed that the measurement noise is color, and is described by an AR(n) model. The state equation is set up according to Singer's model. The measurement equation is set up in polar coordinate and the range rate measurement is combined with ordinary data (i.e., there are four measurement data: range r, azimuth /spl theta//sub a/, elevation /spl theta//sub e/ and range rate r/spl dot/). By means of proper coordinate transformation, the matrix of Kalman gain and the matrix of filter error covariance can be decoupled. Thus the computing requirement of the algorithm is reduced and can be performed in real time.

关键词： Target tracking Noise measurement Colored noise Coordinate measuring machines Nonlinear equations Motion measurement White noise Electric variables measurement Gain measurement Azimuth

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Hydraulically coupled power-plants commitment within short-term operation planning in mixed hydro-thermal power systems

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EUROPEAN TRANSACTIONS ON ELECTRICAL POWER 1997年第5期7卷 323-330页

作者： Rakic, MV Markovic, ZM [?]Dr. Milan V. Rakic (1938) received his electrical engineering degree in 1962 his M.S. degree in 1972 and his Ph.D. degree in 1993 from the University of Belgrade Yugoslavia. He made additional studies in operations research and system science at Stanford University Department of Operations Research Stanford/California USA and Western Reserve University System Research Center. Cleveland/Ohio USA in 1969/1970. He joined the Mihajlo Pupin Institute Department of Automatic Control Belgrade/Yugoslavia in 1962. He was engaged in large-scale system control studies and research. Since 1975 he has been working on the development of methods and software for power system operation planning. He is currently a senior research associate at the Mihajlo Pupin Institute. (Mihajlo Pupin Institute Volgina 15 POBox 15 11050 Belgrade Yugoslavia Phone: +381-11-773-503 Fax: +381-11-773-835)

A new method for short-term operation planning and power exchange scheduling of interconnected hydrothermal power systems is proposed in the paper. The criterion function is the total variable profit obtained sales of energy to customers within the system, exchange of energy with other systems, diminished by the cost of system operation. The method is based on Lagrangian relaxation, decomposition technique and successive solution of dual and primal problems. The dual and primal problems are decomposed and solved using appropriate optimization methods, while Lagrangian multipliers are corrected using subgradient method. Dual hydro subproblems are solved using linearization and network flow method. Special modification of the algorithm is made so as to enable commitment of hydro power plants, taking into account bilogical constraints on minimal flow of water downstream of the hydro power plant. The efficiency of the method is illustrated on a test problem.

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Artificial Intelligence Embedded Object-Oriented Methodology For Model Based Decision Support

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Journal of systems Engineering and Electronics 1996年第1期7卷 1-14页

作者： Feng Shan Tian Yuan Li Tong & Cai Jun (institute of system Engineering, Department of automatic control Engineering Huazhong University of science and Technology, Wuhan, Hubei, 430074, P. R. China) Institute of System Engineering Department of Automatic Control Engineering Huazhong University of Science and Technology Wuhan Hubei 430074 P. R. China

The paper presents the coupling of artificial intelligence-AI and Object-oriented methodology applied for the construction of the model-based decision support system *** MBDSS is designed for support the strategic decision making lead to the achievemellt of optimal path towardsmarket economy from the central planning situation in China. To meet user's various requirements,a series of innovations in software development have been carried out, such as system formalization with OBFRAMEs in an object-oriented paradigm for problem solving automation and techniques of modules intelligent cooperation, hybrid system of reasoning, connectionist framework utilization,etc. Integration technology has been highly emphasized and discussed in this article and an outlook to future software engineering is given in the conclusion section.

关键词： Artificial intelligence Object-oriented methodology Knowledge-based systems Intelligently cooperative systems Neural nets Case hased reasoning Behavioral science,Advancedautomation.

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Artificial Intelligence Embedded Object-Oriented Methodology for Model Based Decision Support

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IFAC Proceedings Volumes 1995年第7期28卷 371-379页

作者： Feng Shan Tian Yuan Li Tong Cai Jun Institute of System Engineering Department of Automatic Control Engineering Huazhong University of Science and Technology Wuhan Hubei 430074 P. R. China

The paper presents the coupling of artificial intelligence - AI and Object-oriented methodology applied for the construction of the model-based decision support system MBDSS. The MBDSS is designed for support the strategic decision making lead to the achievement of optimal path towards market economy from the central planning situation in China. To meet user’s various requirements, a series of innovations in software development have been carried out, such as system formalization with OBFRAMEs in an object-oriented paradigm for problem solving automation and techniques of modules intelligent cooperation, hybrid system of reasoning, connectionist framework utilization, etc. Integration technology has been highly emphasized and discussed in this article and an outlook to future software engineering is given in the conclusion section.

关键词： Artificial intelligence AI Object-oriented methodology OOM Knowledge-based systems KBS Intelligently cooperative systems Neural nets NNs Case Based Reasoning CBR Behavioral science Advanced Automation

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WISEKO: a knowledge-based system for the recognition of 2D-complex objects in CAQ applications

WISEKO: a knowledge-based system for the recognition of 2D-c...

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Proceedings of IEEE/RSJ International Conference on Intelligent Robots and systems (IROS'94)

作者： A. Nabout M. Hubert H. Nour Eldin L. Lachtev L. Mikhailov J. Zaprianov Group of automatic control and technical cybernetics ATK University of Wuppertal Wuppertal Germany Bulgarian Academy of science Institute of Control and System Research Bulgaria

The automatic recognition of complex objects (objects drilled in one or more places) represents a central scope of duties in the automation of numerous production processes. For such objects, further features must be determined and connected with each other to describe them. The number of drills, their forms as well as their normalized sizes must be determined and connected with each other. For industrial application in the field of automatic quality control (CAQ) and robotics the systems for the recognition of complex objects have to fulfil the requirement of flexibility and realtime processing. For this there are few suitable preprocessing methods for feature extraction, especially connected with the contour extraction and its description. Based on the object-oriented method for contour extraction (OCE), in this work the knowledge-based system for the recognition of complex objects called WISEKO will be introduced. The system is built up in form of an expert system and enables the recognition of any complex object. The WISEKO-system is flexible and can be used for various applications in CAQ and robotics. Because of using a hardware implementation for the OCE-method the WISEKO-system can be employed for realtime applications.< >

关键词： Knowledge based systems Production Electrical equipment industry Industrial control Quality control Service robots Robotics and automation Feature extraction Expert systems Hardware

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The Construction and Properties of the Set of Noninferior Solutions of Multiobjective Convex Programming

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IFAC Proceedings Volumes 1993年第2期26卷 487-494页

作者： Lequn Hu Cangpu Wu Institute of System Science Academia Sinica PRC Department of Automatic Control Beijing Institute of Technology Beijing PRC

The convexity assumption is usually used in the theory of multiobjective optimization and its algorithms. In this paper, the set of noninferior solutions is constructed and its geometric properties are studied under the convexity assumption. It is shown that in m dimensional value space, the set of noninferior solutions turns out to be a strictly decreasing, strictly concave, and no chinky block (or piece) of (hyper-)surface (or curve).

关键词： multiobjective optimization decision theory convex programming

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Enhanced Robustness for Pitch Pointing Flight Using Sliding Mode control

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IFAC Proceedings Volumes 1991年第1期24卷 369-374页

作者： M.E. Penati G. Bertoni C. Chen Electronics Computer Science and System Theory Dept. University of Bologna Viale Risorgimento 2 40136 Bologna Italy Dept. of Automatic Control Nanjing Aeronautical Institute Nanjing PRC

This paper proposes a methodology of combining eigenstructure assignment, feedforward gain with sliding mode control technique to realize an enhanced robust pitch pointing flight control system. This control system can track step input commands without error and it turns out to be consistently robust against parameter variations and external disturbances. The design methodology is illustrated by application to an AFTI/F-16 aircraft.

关键词： C.C.V. (A.C.T.) V.S.S. Sliding Mode Decoupling Robustness

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