Abstract
Knowledge engineering and the design of knowledge bases are now the most important sections of artificial intelligence. They require to develop a closed set of rules of logical inference based on effective control laws. The paper proposes a new algorithm for the synthesis the intelligent control systems, which mode of operation is determined by the closest proximity to the control law optimal for the chosen criterion and the physical realizability of the inertial regulator. The proposed approach allows us to determine the elements of the knowledge base based on the developed synthesis procedure in the problems to construct the set of product rules in the class of measurable piecewise-continuous and piecewise-constant controls.
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Kostoglotov, A., Lazarenko, S., Agapov, A., Lyaschenko, Z., Pavlova, I. (2019). Designing the Knowledge Base for the Intelligent Inertial Regulator Based on Quasi-optimal Synthesis of Controls Using the Combined Maximum Principle. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18). IITI'18 2018. Advances in Intelligent Systems and Computing, vol 874. Springer, Cham. https://doi.org/10.1007/978-3-030-01818-4_19
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DOI: https://doi.org/10.1007/978-3-030-01818-4_19
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