Abstract
In many real control problems we face the lack of precise and detailed knowledge about the process and this is the usual reason that these problems can not be satisfactorily solved by the use of standard control theory.
The paper deals with the several classes of heuristic algorithms of real time control called fuzzy controllers and probabilistic fuzzy controllers. Such algorithms seem to be convenient in the design of control systems for complex, ill-defined processes. The synthesis technique called decomposition of control rules, presented in this paper, provides the unified expressions for both single-input, single-output and multi-dimensional controllers and it improves the computational efficiency of the control system. The original method of inference, based on this decomposition, is also presented.
On leave from Silesian Technical University, Gliwice, Poland.
The paper was written while the first author was granted a research fellowship by the Alexander-von-Humboldt-Foundation.
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Czogala, E., Walichiewicz, L. (1985). Synthesis of fuzzy and probabilistic fuzzy controllers by means of decomposition of the control rules derived from a human operator's actions. In: Schmidt, G., Singh, M., Titli, A., Tzafestas, S. (eds) Real Time Control of Large Scale Systems. Lecture Notes in Control and Information Sciences, vol 67. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0008320
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DOI: https://doi.org/10.1007/BFb0008320
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