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1990 Volume 5
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RESEARCH ARTICLE   Open Access    

AI in control Systems engineering

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  • Abstract: Decision-making is an integral part of any consideration of the discipline of control Systems. This implies feedback of knowledge in some format, whether it is mediated via human or machineoriented methods. The application of AI methodologies to control Systems engineering is described in this review under two broad categories of design and implementation. The design of control strategies is itself divided into phases of modelling and simulation, identification, and algorithm selection and tuning. The aspects of implementation which are covered include real-time considerations such as knowledge-based control and fuzzy logic, multi-sensor data fusion, fault detection and Human–Computer Interaction (HCI).
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  • Araki M, 1985. “Industrial applications in Japan in CAD packages for control Systems” IFAC Symp. Lyngby, pp 71–76.

    Google Scholar

    Arzen KE, 1988. “An architecture for expert system based feedback control” In Artificial Intelligence in Real-Time Control, IFAC Workshop, Swansea, pp 15–20.

    Google Scholar

    Assilian S and Mamdani EH, 1975. “An experiment in linguistic synthesis with a fuzzy logic controller” Int. J. Man-Machine Systems7 pp 1–13.

    Google Scholar

    Astrom KJ, Anton JJ and Arzen KE, 1986. “Expert Control” Automatica22 (3) pp 277–286.

    Google Scholar

    Astrom KJ and Kreutzer W, 1986. “System representations” In Proc. IEEE Control Systems Soc., 3rd Symp. on CACSD, Arlington, Virginia, pp 24–26.

    Google Scholar

    Barker HA, Chen M, Grant PW, Jobling CP and Townsend P, 1986. “A graphical pre-processor for computer-aided control system design. Inst MC Workshop” Computer-Aided Control System Design, Salford, pp 15–20.

    Google Scholar

    Bekey GA, 1988. “Knowledge based Systems in modelling simulation and identification” IFAC Symp. on Sys. Ident., Beijing.

    Google Scholar

    Bennett S, Rahbar M, Linkens DA, Tanyi E and Smith M, 1989. “A Knowledge-based Environment for Modelling and Simulation (KEMS)” MULTI'89 Simulation Conference,San Diego.

    Google Scholar

    Betta A and Linkens DA, 1988. “EASI (Expert Advisor for System Identification): A prototype package for linear and non-linear system” Control'88, Oxford.

    Google Scholar

    Betta A and Linkens DA, 1990. “Intelligent knowledge-based system for dynamic system identification” in Proc IEE Pt D, Vol 137, Pt D, pp 1–12.

    Google Scholar

    Beutler KP, 1988. “The Descriptive search to realize a knowledge-based retrieval of reusable project results” In Artificial Intelligence in Real-Time Control, IFAC Workshop, Swansea, pp 119–122.

    Google Scholar

    Billings SA, Fadzil MB, Voon WSF and Leontaritis IJ, 1984. User Reference Manual of NLI: Nonlinear Identification Package, Dept. of Control. Eng., University of Sheffield.

    Google Scholar

    Borchardt GC, 1986. “STAR: A computer language for hybrid AI applications” In Coupling Symbolic and Numerical Computing in Expert Systems (ed. Kowalik), Elsevier: Amsterdam, pp 169–177.

    Google Scholar

    Borgida A, Greenspan S and Mylopoulos J, 1985. “A knowledge representation as the basis for requirements specification” IEEE Computer, pp 82–91.

    Google Scholar

    Brown PJ, 1986. “Interactive documentation”. Software Practice & Experience, 16, No 3, pp 291–299.

    Google Scholar

    Clare J, 1989. “Real-time application of advanced control in industry” ISA '89 Advanced Control Conference,NEC,Birmingham, pp 10.1–10.9.

    Google Scholar

    Cohen PR and Feigenbaum E, 1982. “MOLGEN” In The Handbook of Artificial Intelligence, Vol. 3, Los Altos, CA: William Kaufman Publishing, pp 551–556.

    Google Scholar

    Dearden H, 1989. “Application of self-tuning control for process plant optimization” ISA '89 Advanced Control Conference,NEC,Birmingham, pp 4.1–4.14.

    Google Scholar

    di Primio and Brewska G, 1985. “BABYLON: kernel System of an integrated environment for expert System development and operation” In Proc. 5th Int Workshop on Expert Systems and their Application, Avignon, pp 573–583.

    Google Scholar

    Elzer P, Borchers HW, Weisang C and Zinser R, 1988. “Knowledge-supported generation of control room pictures” In Artificial Intelligence in Real-Time Control, IFAC Workshop, Swansea, pp 129–136.

    Google Scholar

    Epton J, 1989. “Adaptive and self-tuning controllers: an overview” ISA '89 Advanced Control Conference,NEC,Birmingham, pp 2.1–2.11.

    Google Scholar

    Erman LD, Hayes-Roth F, Lesser VR and Reddy DR, 1988. “The Hearsay-II Speech-Understanding System: integrating knowledge to resolve uncertainty” In Blackboard Systems (ed. Engelmore R and Morgan R), New York: Addison Wesley.

    Google Scholar

    Fjellheim RA, 1986. “A knowledge based interface to process simulation” In AI Applied to Simulation (ed. Vansteenkiste Kerckhoffs and Ziegler ), Simulation Series, Vol. 18, no. 1, Feb, SCS: California, pp 97–102.

    Google Scholar

    Fortuna L, Nunnari G, Vassallo F and Zuccarini P, 1988. “An educational tool for control System design: Why an expert System? In Trends in Control and Measurement Education, IFAC Symp., Swansea, pp 207–212.

    Google Scholar

    Francis JC and Leitch RR, 1984. “ARTIFACT: A real-time shell for intelligent feedback control” In Proc. British Computer Soc. Conf. Expert Systems '84, also in Research and Development in Expert Systems (ed. Bramer ), Cambridge University Press: Cambridge, pp 151–163.

    Google Scholar

    Gallant M, Guida G, Spampinato L and Stefanini A, 1985. “Representing procedural knowledge in expert Systems: An application to process control” In Proc. 9th Int. Joint Conf. on AI, pp 345–352.

    Google Scholar

    Gladd NT and Krall NA, 1986. “Artificial intelligence methods for facilitating large-scale numerical computations” In Coupling Symbolic and Numerical Computing in Expert Systems (ed. Kowalik ), Amsterdam: Elsevier, pp 123–136.

    Google Scholar

    Haest M, Bastin G, Gevers M and Wertz V, 1988. “An expert System for System identification IFAC Workshop on AI in Real-time Control, Swansea, pp 101–106.

    Google Scholar

    Hamiane D and Morris AS, 1985. Linear Multivariable Identification Package, University of Sheffield: Dept. of Control Eng.

    Google Scholar

    Harris CJ and Read AB, 1988. “Knowledge based fuzzy motion control of autonomous vehicles” In Artificial Intelligence in Real-time Control, IFAC Workshop, Swansea, pp 149–154.

    Google Scholar

    Haspel D, 1989. “The use of an expert System for cement manufacture” ISA '89 Advanced Control Conference,NEC,Birmingham, pp 8.1–1.9.

    Google Scholar

    Haton JP, 1983. “Knowledge-based and expert Systems in industrial applications” IFAC Workshop on Artificial Intelligence, Leningrad, pp 83–89.

    Google Scholar

    lonescu D, 1988. “An expert System with a learning mechanism for real time process control” In Artificial Intelligence in Real-Time Control, IFAC Workshop, Swansea, pp 27–40.

    Google Scholar

    Jacob F, Suslenschi P and Vernet D, 1986. “EXTASE: An expert System for alarm processing in process control” Proc. 7th Eur. Conf. on AI, Vol. 2, pp 103–108.

    Google Scholar

    James JR, Frederick DK, Bonissone PP and Taylor JH, 1985a. “A retrospective view of CACE-III: Considerations in co-ordinating symbolic and numeric computaton in a rule-based expert System” 2nd Conf. on AI Applications: The Eng. of Knowledge-based Systems. Washington: IEEE Computer Soc. Press, pp 532–538.

    Google Scholar

    James JR, Taylor JH and Frederick DK, 1985b. “An expert System architecture for coping with complexity in computer-aided control engineering” 3rd IFAC/IFIP Int. Symp. CADCE '85, Lyngby.

    Google Scholar

    Karwatzki JM, 1987. “An expert system for monitoring helicopter airworthiness” Measurement and Control20 pp 112–114.

    Google Scholar

    Kolseki C, Van Daele, Millot P and de Keyser V, 1988. “Towards an intelligent editor of industrial control views using rules for ergonomic design” In Artificial Intelligence in Real-Time Control, IFAC Workshop, Swansea, pp 137–142.

    Google Scholar

    Krigsman AJ, Verbruggen HB and Bruijn M, 1988. “Knowledge-based real-time control” IFAC Workshop on “AI in Real-time Control”, Swansea, pp 7–13.

    Google Scholar

    Langen PA, 1987. “Application of artificial intelligence techniques to simulation” In Simulation and Al (ed. Luker and Birtwistle ), Simulation Series, Vol. 18, no. 3, SCS: California, pp 49–57.

    Google Scholar

    Larsson JE and Persson P, 1988. “The knowledge database used in an expert System interface for IDPAC” In Artificial Intelligence in Real-Time Control, IFAC Workshop, Swansea, pp 107–112.

    Google Scholar

    Lehman A, 1987. “Expert Systems for interactive simulation of computer System dynamics” In Simulation and AI (ed. Luker and Birtwistle ). Simulation Series, Vol. 18, no. 3, SCS: California, pp 21–26.

    Google Scholar

    Lehman A, Knodler B, Kwee E and Szczerbicka H, 1986. “Dialogue-oriented and knowledge-based modelling in a typical PC environment” In AI Applied to Simulation (ed. Kerckhoffs , Vansteenkiste and Ziegler ), Simulation Series, Vol. 18, no. 1, SCS: California, pp 91–96.

    Google Scholar

    Leitch R and Dulieu MRW, 1987. “RESCU REVISITED—A review of a practical real-time expert System” In Research and Development in Expert Systems (ed. Moralee ), Cambridge: Cambridge University Press, pp 267–276.

    Google Scholar

    Linkens DA, 1988. “Control System design: a survey of personal computer software” Trans. Inst. MC, 10(5) pp 240–257.

    Google Scholar

    Linkens DA, Greenhow SG and Asbury AJ, 1986. “An expert System for the control of depth of anaesthesia” Biomed. Meas. Info. Contr., 1(4) pp 223–228.

    Google Scholar

    Linkens DA and Hasnain SB, 1989. “Self-organising Systems and their transputer implementation” In Parallel Processing and Artificial Intelligence (ed. Reeve M & Zenith SV), Chichester: Wiley, pp 249–247.

    Google Scholar

    Linkens DA and Manfouf M, 1988. “Fuzzy logic knowledge-based control for muscle relaxant anaesthesia” IFAC Modelling and Control in Biomedical Systems, Venice, pp 185–190.

    Google Scholar

    Lounamaa P and Tse E, 1986. The Simulation and Expert Environment in Coupling Symbolic and Numerical Computing in Expert Systems (ed. Kowalik ), Amsterdam: Elsevier, pp 83–100.

    Google Scholar

    Maciejowski JM, 1985. “A core data model for computer-aided control engineering” Cambridge University Eng. Dept. Tech. Report CUED/F-CAMS/TR257.

    Google Scholar

    Maciejowski JM, 1988. “Data structures and software tools for CACSD: A survey” IFAC Symposium, CACSD, Beijing.

    Google Scholar

    Mason A, 1989. “Practical implementation of large real-time expert Systems for process and plant management” ISA '89 Advanced Control Conference,NEC,Birmingham, pp 11.1–11.16.

    Google Scholar

    Moore RL, 1989. “Application of the real-time expert Systems in the US” ISA '89 Advanced Control Conference,NEC,Birmingham, pp 11.1–11.16.

    Google Scholar

    Munro N, Palaskas Z and Frederick DK, 1986. “An adaptive CACSD dialogue facility” In IEE 3rd Symp. on Computer-Aided Control System Design (ed. Lineberry ), New York, Arlington, VA: IEEE, pp 146–149.

    Google Scholar

    Neilson NR, 1987. “The impact of using AI-based techniques in a control System Simulator” In Simulation and AI (ed. Luker and Birtwistle ), Simulation Series, Vol. 18, no. 3, SCS: California, pp 72–77.

    Google Scholar

    Ogard O and Wood E, 1988. “Intelligent alarm handling” In Artificial Intelligence in Real-Time Control, IFAC Workshop, Swansea, pp 69–74.

    Google Scholar

    Pang GKH and Boyle J -M, 1986. “An expert System for analytical and interactive design of control Systems” Expert Systems '86, Cambridge.

    Google Scholar

    Pang GKH and MacFarlane AGJ, 1987. “An expert Systems approach to CAD of multivariable Systems” In Lecture Notes in Control and Information Sciences, New York: Springer-Verlag.

    Google Scholar

    Pave A and Rechenmann F, 1986. “Computer-aided modelling in biology: An artificial intelligence approach” In AI Applied to Simulation (ed. Kerckhoffs , Vansteenkiste and Ziegler ), Simulation Series, Vol. 18, no. 1, SCS: California, pp 52–66.

    Google Scholar

    Permantier G, 1988. “Representation of inexact engineering knowledge about real time Systems” In Artificial Intelligence in Real-Time Control, IFAC Workshop, Swansea, pp 41–46.

    Google Scholar

    Procyk TJ and Mamdani EH, 1979. “A linguistic self-organising process controller” Automatica, 15 pp 15–30.

    Google Scholar

    Rahbar MT, Bennett S and Linkens DA, 1987. “Functional specification of an intelligent simulation environment” UKSC '87 Conf. on Computer Simulation, Bangor, pp 187–192.

    Google Scholar

    Rahbar MT, Bennett S, Linkens DA and Thompson B, 1989. “A integrated database: ils role in a knowledge-based environment for modelling and simulation (KEMS)” ESC '89 3rd Euro Congress, Edinburgh.

    Google Scholar

    Rajagopalan R, 1986. “Qualitative modelling and simulation: A survey” In AI Applied to Simulation (ed. Kerckhoffs , Vansteenkiste and Ziegler ), Simulation Series, Vol. 18, no. 1, SCS: California, pp 9–26.

    Google Scholar

    Ranganathan SR, 1957. Colon Classification, London: Madras Library Association.

    Google Scholar

    Rao M and Jiang T-S, 1989. “Real-time intelligent control” Engineering Application of Artificial Intelligence.

    Google Scholar

    Rasmussen J and Goodstein LP, 1985. “Decision support in supervisory control” IFAC Congress on Analysis, Design and Evaluation of Man–Machine Systems, Varese, Italy.

    Google Scholar

    Reilly DP and Timberlake AI, 1987. “Intelligent front-end to Box and Jenkins forecasting” In Interactions in AI and Statistical Methods (ed. Phelps B), Technical Press, Unicom Seminars Ltd.

    Google Scholar

    Rimvall M, 1988. “Interactive environments for CACSD software” IFAC Symp on CACSD, Beijing, China.

    Google Scholar

    Rimvall M and Bomholt L, 1985. “A flexible man–machine interface for CACSD applications” Preprints of 3rd IFAC/IFIP Int. Symp. on CAD in Control and Eng. Syst., Copenhagen, Denmark.

    Google Scholar

    Sacks PH, Patterson AM and Tunes MHM, 1986. “ESCORT: An expert System for complex operations in real-time” Expert Systems, 3(1).

    Google Scholar

    Sanoff SP and Wellstead PE, 1985. “Expert identification and control” IFAC Conf. Ident. and Syst. Parameter Estimation, York, pp 1273–1278.

    Google Scholar

    Sugeno M, 1985. Industrial Applications of Fuzzy Control, Amsterdam: North Holland.

    Google Scholar

    Tanyi E and Linkens DA, 1987. “A frame-based modelling and simulation environment” UKSC '87 Conf. on Computer Simulation, Bangor.

    Google Scholar

    Tanyi E and Linkens DA, 1989. “Addition of a knowledge acquisition facility to a knowledge-based environment for modelling and simulation (KEMS)” ESC '89 Advanced Control Congress, Edinburgh.

    Google Scholar

    Taunton C, 1989. “Expert Systems in process control: an overview” ISA '89 Advanced Control Conference,NEC,Birmingham, pp 5.1–5.5.

    Google Scholar

    Taylor JH, 1987. “Conventional and expert-aided database management for computer-aided control engineering” In Proc. Amer. Cont. Conf., ACC.

    Google Scholar

    Taylor JH and Frederick DK, 1984. “Expert Systems architecture for computer-aided control engineering” In Proc. Amer. Cont. Conf., ACC.

    Google Scholar

    Tetley B and Ulf A, 1989. “Self-tuning and gain scheduling for process control” ISA '89 Advanced Control Conference,NEC,Birmingham, pp 5.1–5.5.

    Google Scholar

    Thomson AC, 1988. “Real-time artificial intelligence for process monitoring and control” In Artificial Intelligence in Real-Time Control, IFAC Workshop, Swansea, pp 89–94.

    Google Scholar

    Togai M and Watanabe H, 1985. “A VLSI implementation of fuzzy inference engine: toward an expert System on a chip” New York: IEEE, pp 192–197.

    Google Scholar

    Tong RM, 1977. “A control engineering review of fuzzy Systems” Automatica, 13 pp 559–569.

    Google Scholar

    Trankle TL and Markosian LZ, 1985. “An expert System for control System design” In Control '85 IEE Conf., Cambridge, pp 495–499.

    Google Scholar

    Tsang TTC and Billings SA, 1987. FASTNOI: Fast Nonlinear Orthogonal Identification, University of Sheffield: Dept. of Control Eng.

    Google Scholar

    Van den Bosch PPJ and Van den Boom AJW, 1985. “Industrial application in the Netherlands for CAD packages in control Systems” IFAC Symp., Lyngby, pp 58–61.

    Google Scholar

    Vingerhoeds RA, Delbar P and Boullart L, 1988. “Expert Systems for process control using automatic knowledge acquisition” In Artificial Intelligence in Real-Time Control, IFAC Workshop, Swansea, pp 57–62.

    Google Scholar

    Voss H, 1988. “Architectural issues for expert Systems in real-time control” In Artificial Intelligence in Real-Time Control, IFAC Workshop, Swansa, pp 1–6.

    Google Scholar

    Wagner B, 1988. “Knowledge-based constraint specification in the development of process automation Systems” In Artificial Intelligence in Real-Time Control, IFAC Workshop, Swansea, pp 113–118.

    Google Scholar

    West AA, Chandraker R, Williams DJ and Mulvaney DJ, 1988. “Hybrid representation of real-time control rules for manufacturing process control in electronics manufacture” IEEE Symp. Intelligent Control, Arlington, Virginia.

    Google Scholar

    Zadeh LA, 1965. “Fuzzy sets” Info, and Control I, pp 338–353.

    Google Scholar

    Ziegler BP, 1976. Theory of Modelling and Simulation, New York: Wiley.

    Google Scholar

    Ziegler BP and De Wael L (1986). “Towards a knowledge-based implementation of multifaceted modelling methodology” In AI Applied to Simulation (ed. Kerckhoffs , Vansteenkiste and Ziegler ), Simulation Series, Vol. 18, no. 1, SCS: California, pp 42–51.

    Google Scholar

    Zhang L, Cameron RG, Ammour K, Dugdale RE and Lealman G, 1989. “Rule-based ventilator management and control for neonates suffering respiratory distress” IFAC Workshop on Decision Support for Patient Management: Measurement Modelling and Control, London.

    Google Scholar

    Zinser K, 1988. “Design issues and knowledge representations for modern control room interfaces” In Artificial Intelligence in Real-Time Control, IFAC Workshop, Swansea, pp 123–128.

    Google Scholar

    Zygmont A, 1987. “Object-oriented programming and CACSD” ASEE Annual Conference,Reno,Nevada.

    Google Scholar

  • Cite this article

    D. A. Linkens. 1990. AI in control Systems engineering. The Knowledge Engineering Review. 5:3 doi: 10.1017/S0269888900005403
    D. A. Linkens. 1990. AI in control Systems engineering. The Knowledge Engineering Review. 5:3 doi: 10.1017/S0269888900005403

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RESEARCH ARTICLE   Open Access    

AI in control Systems engineering

The Knowledge Engineering Review  5 Article number: 10.1017/S0269888900005403  (1990)  |  Cite this article

Abstract: Abstract: Decision-making is an integral part of any consideration of the discipline of control Systems. This implies feedback of knowledge in some format, whether it is mediated via human or machineoriented methods. The application of AI methodologies to control Systems engineering is described in this review under two broad categories of design and implementation. The design of control strategies is itself divided into phases of modelling and simulation, identification, and algorithm selection and tuning. The aspects of implementation which are covered include real-time considerations such as knowledge-based control and fuzzy logic, multi-sensor data fusion, fault detection and Human–Computer Interaction (HCI).

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    D. A. Linkens. 1990. AI in control Systems engineering. The Knowledge Engineering Review. 5:3 doi: 10.1017/S0269888900005403
    D. A. Linkens. 1990. AI in control Systems engineering. The Knowledge Engineering Review. 5:3 doi: 10.1017/S0269888900005403
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