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Part of the book series: Advances in Industrial Control ((AIC))

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Abstract

In control engineering, the conventional method of designing controllers starts with a precise mathematical model of the process. The desired behaviours of the closed-loop system are also expressed mathematically. All these mathematical information is combined and the equations can usually be solved to give a mathematical expression of control to be carried out. The sophisticated automation application from aircrafts and spacecrafts to chemical processes is a tribute to the success of this method and its numerous variations. However, this success can mainly be achieved when the models are given as linear equations.

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References

  • Ã…ström K.J. Computer control of a paper machine - an application of linear stochastic control theory. IBM Journal 1967; 7: 389–405

    Article  Google Scholar 

  • Bellman R.E. and Zadeh L.A. Decision making in a fuzzy environment. Manage. Sci. 1970; 17: 151–169

    Article  Google Scholar 

  • Cegrell T. and Hedqvist T. Successful adaptive control of paper machine. Automatica 1975; 11: 53–59

    Article  Google Scholar 

  • Czogala E. and Pedrycz W. Fuzzy rules generation for fuzzy control. Cybernetics and Systems 1982; 13: 275–290

    Article  Google Scholar 

  • Dubois D. and Prada H. Fuzzy sets and system: Theory and Applications. Academic Press, 1980

    Google Scholar 

  • Fung L.W. and Fu X.S. Characterization of a class of fuzzy optimal control problems. In: Gupta M.M., Saridis G.N. and Gaines B.R. Ed., Fuzzy Automata and Decision processes, North-Holland, 1977, pp 209–219.

    Google Scholar 

  • Gupta M.M. Feedback control applications of fuzzy set theory: a survey. Proc of 8th IFAC world Congress, Kyoto, Japan, 1981, pp. 761–766

    Google Scholar 

  • Kacprzyk J. Multistage decision processes in a fuzzy environment: a survey. In: Fuzzy Information and Decision Processes, Gupta M.M. and Sanchez E. Ed., North-Holland, 1982, pp 251–263.

    Google Scholar 

  • Kacprzyk J. Towards ‘human-consistent’ multistage decision making and control models using fuzzy sets and fuzzy logic. Fuzzy Sets and Systems 1986; 10: 291–298

    Article  Google Scholar 

  • Li B.S. and Liu Z.J. Model identification using fuzzy sets theory. Information and Control (Chinese) 1980; 3: 32–38

    Google Scholar 

  • Li P., Zhou C., Sun Y. and Ying Y. A multi-purpose robust controller and its application to paper machine control system. Proc of Int. Conf. on Industrial Process Modelling and Control, Hangzhou, China, 1985, pp 178–185

    Google Scholar 

  • Mamdani E.H. and Aasilian S. An experiment in linguistic synthesis with a fuzzy logic controller. Int. J. Man-machine Stud. 1974; 7: 1–13

    Article  Google Scholar 

  • Mamdani E.H. Application of fuzzy algorithms for control of simple dynamic plant. Proc. IEE 1974; 121D: 1585–1588

    Google Scholar 

  • Sugeno M. An introductory survey of fuzzy control. Information Sciences 1985; 36: 59–83

    Article  Google Scholar 

  • Tong R.M. A control engineering review of fuzzy systems. Automatica 1977; 13: 559–569

    Article  Google Scholar 

  • Tong R.M. Fuzzy control systems: A retrospective. Proc of American Control Conference, 1983, pp 1224–1229

    Google Scholar 

  • Tong R.M. Analysis of fuzzy control algorithms using the relation matrix. Int. J. Man-Machine Stud. 1976; 8: 679–686

    Article  Google Scholar 

  • Zadeh L.A. Calculus of fuzzy restrictions. In: Proc of US Open Seminar on Fuzzy Sets and Their Applications, Zadeh L.A., Fu K.S., Tanaka K. and Shimura M. eds., Academic Press, New York, 1975

    Google Scholar 

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© 1994 Springer-Verlag London Limited

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Rao, M., Xia, Q., Ying, Y. (1994). Fuzzy Control. In: Modeling and Advanced Control for Process Industries. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-2094-0_7

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  • DOI: https://doi.org/10.1007/978-1-4471-2094-0_7

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-2096-4

  • Online ISBN: 978-1-4471-2094-0

  • eBook Packages: Springer Book Archive

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