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A knowledge-based control architecture with interactive reasoning functions

IEEE TRANSACTIONS ON knowledge AND DATA ENGINEERING 1996年第1期8卷 179-183页

作者： Sullivan, GA Department of Mechanical Engineering University of Vermont Burlington VT USA

A knowledge-based system architecture called IPEX is presented that uses a time distributed, interactive reasoning paradigm for process control applications. Structural features of the system are presented, and it is shown that temporal considerations are included in each of the system's data structures either explicitly or implicitly. Diagnostic planning is discussed, and explanations of the algorithms that formulate and maintain diagnostic/control plans are given. In particular, it is shown that the IPEX system can manage concurrently executing interactive diagnostic plans for multiple problem hypotheses.

关键词： diagnostics interactive reasoning interactive systems knowledge-based control knowledge-based systems process control temporal representation

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knowledge-based control of vision systems

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IMAGE AND VISION COMPUTING 1999年第9期17卷 667-683页

作者： Shekhar, C Moisan, S Vincent, R Burlina, P Chellappa, R Univ Maryland Ctr Automat Res College Pk MD 20742 USA INRIA Sophia Antipolis Sophia Antipolis France Univ Massachusetts Dept Comp Sci Amherst MA 01003 USA

We propose a framework for the development of vision systems that incorporate, along with the executable computer algorithms, the problem-solving knowledge required to obtain optimal performance from them. In this approach, the user provides the input data, specifies the vision task to be performed, and then provides feedback in the form of qualitative evaluations of the results obtained. These assessments are interpreted in a knowledge-based framework to automatically select algorithms and set parameters until results of the desired quality are obtained. This approach is illustrated on two real applications, and examples from the knowledge bases developed are discussed in detail. (C) 1999 Elsevier Science B.V. All rights reserved.

关键词： vision system knowledge-based control self-tuning algorithm selection parameter tuning

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knowledge-based control for RGB convergence in deflection yoke of CDT

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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2003年第6期50卷 1298-1304页

作者： Chung, BM Yeungnam Univ Sch Mech Engn Kyongsan 712749 South Korea

The color display tube used in computer monitors consists of many components. The deflection yoke (DY) among them supplies the vertical and horizontal magnetic fields so that the spatial trajectories of electron beams can be deflected according to the synchronization signals. If the magnetic fields are not correctly formed, color blurring or blooming where the color image on screen may not be clear will occur. It is misconvergence. In the manufacture of the DY, its quality is strictly controlled to achieve the desired convergence.-If the misconvergence happens, it has to be cured by sticking the ferrite sheets on the inner part of DY. However, the adjustment is not easy because this process requires an expert's knowledge and experience. A knowledge-based intelligent controller using a neuro-fuzzy model will be introduced in this paper.

关键词： color display tube (CDT) deflection yoke (DY) knowledge-based control neuro-fuzzy model RGB convergence

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Finite element analysis using component decomposition and knowledge-based control

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ENGINEERING WITH COMPUTERS 1999年第4期15卷 315-325页

作者： Holzhauer, D Grosse, I USAF Res Lab IFTC Rome NY 13441 USA Univ Massachusetts Dept Mech & Ind Engn Amherst MA 01003 USA

This paper presents ongoing research into using Artificial Intelligence (AI) techniques to intelligently control finite element thermal analyses. These techniques are used to implement component level decomposition of the physical domain, and to integrate domain information into the analysis process to increase computational efficiency. We have implemented these techniques into a new proof-of-concept finite element program which employs a blackboard architecture to integrate the various numerical and symbolic knowledge sources. The blackboard architecture also supports the storage (and retrieval) of data in an object-oriented form. A test problem involving transient thermal analysis of an integrated circuit package is presented. Use of the proposed method showed a significant decrease in the number of floating point operations required compared to conventional solution technologies. The penalty associated with this saving was approximately a 4% difference in the calculated temperature in the critical region of interest.

关键词： blackboard architecture component decomposition knowledge-based control transient finite element analysis

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knowledge-based control OF FERMENTATION PROCESSES

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BIOTECHNOLOGY AND BIOENGINEERING 1992年第5期39卷 479-486页

作者： KONSTANTINOV, KB YOSHIDA, T International Center of Cooperative Research in Biotechnology Faculty of Engineering Osaka University Yamada‐oka Suita‐shi Osaka 565 Japan

A decade has passed since the first applications of a knowledge-based approach to the control of bioprocesses were reported. During this period, both the development and application of intelligent control in biotechnology have undergone remarkable evolution in terms of concepts, objectives, and tools. Stimulated by rapid progress in the field of real-time expert systems, knowledge-based methodology for the control of fermentation processes has now reached a more mature phase. A growing interest among the biotechnology community and intensive, realistic, and fruitful research being undertaken both in universities and in industry suggest that large-scale application of knowledge-based systems for the control of bioprocesses is inevitable. This article provides a concise summary of the main achievements in this new area and discusses recent trends, problems, and perspectives.

关键词： FERMENTATION PROCESSES control EXPERT SYSTEMS ARTIFICIAL INTELLIGENCE knowledge-based control

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knowledge-based control of DEDS

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IFAC Proceedings Volumes 1996年第1期29卷 4772-4777页

作者： František Čapkovič Institute of Control Theory and Robotics Slovak Academy of Sciences Dúbravská cesta 9 842 37 Bratislava Slovak Republic

An alternative approach to the discrete-event dynamic systems (DEDS) control is presented. Petri nets are used to express analytically the DEDS model and to represent knowledge about the control task specifications. Both the DEDS model and the knowledge base are simultaneously used in the procedure of the control system synthesis. The elementary control possibilities are generated (by means of the DEDS model) in any step of the procedure and tested with respect to the existence conditions. When there are several possibilities satisfying the conditions the most suitable control possibility is chosen by means of the knowledge base. The proposed approach is illustrated on a simple flexible manufacturing system.

关键词： control system synthesis discrete-event dynamic systems flexible manufacturing systems knowledge representation knowledge-based control Petri nets

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D.E.D.S. Modelling and knowledge-based control 1

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IFAC Proceedings Volumes 1997年第21期30卷 297-302页

作者： František Čapkovič Institute of Control Theory and Robotics Slovak Academy of Sciences Dúbravská cesta 9 842 37 Bratislava Slovak Republic

An alternative approach to modelling the discrete-event dynamic systems (DEDS) and to knowledge-based control of them is presented in this paper. Petri nets and oriented graphs are simultaneously used in order to express in analytical terms the new combined model of DEDS and to represent analytically knowledge about the control task specifications (like criteria, constraints, etc.) by means of such a new combine approach. Both the DEDS model and the knowledge base are simultaneously used in the procedure of the control system synthesis.

关键词： control system synthesis discrete-event dynamic systems knowledge representation knowledge-based control modelling oriented graphs Petri nets

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A knowledge-based control Structure for Robotic Manipulators

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IFAC Proceedings Volumes 1988年第13期21卷 133-138页

作者： C.W. de Silva A.G.J. MacFarlane Information Engineering Division Engineering Department University of Cambridge UK

The proposed control structure has a three-level hierarchy. The lowest level has a set of PID controllers closed around a high-speed decoupling and linearising controller. The second level contains a set of servo experts, one for each degree of freedom of the robot. A servo expert is a knowledge system of the forward production type. It monitors the corresponding joint response, and makes inferences on the basis of a set of performance specifications. These inferences are supplied to a fuzzy tuner at Level 3. The knowledge base of this fuzzy tuner consists of expert knowledge in the form of linguistic rules for servo tuning. This knowledge is matched with inferences of the servo experts to arrive at tuning decisions for the PID controllers. Using this structure, a control system has been developed for a two-degree-of-freedom robot. Performance of this controller is evaluated using simulation experiments.

关键词： knowledge-based control real-time control expert systems fuzzy systems robotics

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knowledge based control of Manufacturing Systems Using Open Communication

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IFAC Proceedings Volumes 1995年第10期28卷 641-645页

作者： George L. Kovács János Nacsa CIM Research Laboratory Computer and Automation Research Institute 1518 Budapest POB 63 Hungary

A rather simplified definition of Intelligent control of Flexible Manufacturing Systems (FMS) means a continuous or frequent observation and evaluation of the status and condition of the system performance, decision making based on the evaluation results and on pre-defined knowledge, and then the operation according to the decisions. In the case of so-called normal operation, which runs according to the given schedules there is no special need for intelligence, neither for interactions to modify the operation, but the above given procedure may help (Smith, et al.,1992) if any kind of disturbance or irregularity happens, what is rather common in the case of highly sophisticated, complex systems. Our paper deals with the control of flexible manufacturing systems using programs based on a Real-time expert system environment taking into consideration the requirements of openness of up-to-date systems.

关键词： Expert systems Manufacturing systems Communication protocols knowledge-based control Integration

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knowledge-based multivariable PID control

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control ENGINEERING PRACTICE 1998年第7期6卷 855-864页

作者： Ho, WK Lee, TH Tay, EB Natl Univ Singapore Dept Elect Engn Singapore 119260 Singapore

knowledge-based control has become an important approach towards the realization of intelligent control systems. To date, multivariable control system design is restricted to off-line design aided possibly by a knowledge-based system. A first-generation on-line knowledge-based multivariable PID control system is implemented in this paper. Real-time considerations are taken into account. The integration of the knowledge-based system with conventional process control system software and hardware is achieved through an interfaced approach. Heuristics developed in recent research on intelligent PID control is implemented to attain some of the visionary goals of knowledge-based control. An implementation on a laboratory scale heat exchanger is also given. (C) 1998 Published by Elsevier Science Ltd. All rights reserved.

关键词： knowledge-based control multivariable systems PID control self-tuning control gain and phase margins

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