On fuzzy alternate control systems

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
2021 13th International Conference on Advanced Computational Intelligence (ICACI), 2021, 00, pp. 172-178
Issue Date:
2021
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Some researchers have worked on intermittent control and alternate control. In both cases, the choice of the control was a constant quantity. But, in real life, this situation is hard to come by for the reason that control may vary with time and circumstances owing to machine or human errors or both. Hence is the need to employ a method in which the control matrix is rather uncertain as is obtainable in real life. In this paper, we consider a more general model of both intermittent and alternate control which allows the control matrix to be fuzzy (uncertain). It turns out that both the classical intermittent and classical alternate controls are recovered in this mode.
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