The concept of fuzzy feedforward and composite control of complex, ill-defined, non-deterministic processes is offered. Fuzzy relational model of process suitable for feedforward control is developed and, using this model, the algorithms of the fuzzy feedforward and composite controls are derived. The advantages of proposed control procedures are demonstrated by example of the invariant fuzzy control of an irrigation process.
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References
1.
Andersen, T.A. and Nielsen, S.B.1985. 'An efficient single output fuzzy control algorithm for adaptive applications', Automatica, 21 (5), 539-545.
2.
Boievi, J.1983. Internal note, Faculty of Technology, University of Zagreb, Zagreb, Yugoslavia.
3.
Braae, M. and Rutherford, D.A.1979a. 'Theoretical and linguistic aspects of the fuzzy logic contrcaller', Automatica, 15, 185—199.
4.
Braae, M. and Rutherford, D.A.1979b. 'Selections of parameters for a fuzzy logic controller', Fuzzy Sets andSystems, 3 (2), 185-199.
5.
Czogala, E. and Pedrycz, W.1982. 'Fuzzy rules generation for fuzzy control', Cybernetes andSystems: An International Journal, 13, 275—293.
6.
Dubois, D. and Prade, H.1980. Fuzzy sets and systems-Theory and applications, Academic Press, New York.
7.
Higashi, M. and Klir, G.J.1984. 'Identification of fuzzy relation systems', IEEE Trans Syst Man Cyb, 14 (2), 349-355.
8.
King, P.J. and Mamdani, E.H.1977. 'The application of fuzzy control systems to industrial processes', Automatica, 13, 235-242.
9.
Luyben, W.L.1973. Process modeling, simulation and control for chemical engineers, McGraw-Hill, New York .
10.
Malvache, N. and Willaeys, D.1981. 'The use of fuzzy sets for the treatment of fuzzy information by computer', Fuzzy Sets andSystems, 5, 323-327.
11.
Mamdani, E.H.1977. 'Application of fuzzy logic to approximate reasoning using linguistic synthesis', IEEE Trans onComputers, 26 (12), 1182-1191.
12.
Mandi, I. and Boievi, J.1985. 'New criterion for optimal synthesis of composite control systems', Proceedings of the IASTED Int Symp .Modelling and Simulation, Acta Press, Anaheim , 132-135.
13.
Pedrycz, W.1984. 'Identification in fuzzy systems', IEEE Trans Syst Man Cyb, 14 (2), 361-366.
Stipaniev, D. and Boievi, J.1985. 'Fuzzy linguistic models for feedforward control', Proceedings of the IASTED Int Symp Modelling and Simulation, Acta Press, Anaheim, 211-214.
16.
Tong, R.M.1977. 'A control engineering review of fuzzy systems', Automatica, 13, 559-569.
17.
Willaeys, D. and Malvache, N.1978. 'Use of fuzzy model for process control', IEEE Int Conf on Cybernetics and Society, Tokyo, Japan.
18.
Willaeys, D. and Malvache, N.1982. 'Some fuzzy tools for system modelisation and automatic control', IFAC Symp on Theory and Applications of Digital Control, New Delhi, India.
