Modelling and Data Analysis
2024. Vol. 14, no. 1, 135–154
doi:10.17759/mda.2024140109
ISSN: 2219-3758 / 2311-9454 (online)
Approximate Synthesis of Optimal Deterministic Control Systems with Incomplete Feedback Based on Sufficient ε-Optimality Conditions
Abstract
The problem of optimal control of deterministic dynamical systems in the absence of information about a part of the coordinates of the state vector is considered. Sufficient ε-optimality conditions based on the principle of expansion are formulated and proved. An algorithm is proposed for finding an a priori estimate of the proximity of the synthesized control law with incomplete feedback to the optimal one for a given set of initial states. The solution of the model example is given.
General Information
Keywords: sufficient optimality conditions, optimal synthesizing function, multi-agent algorithm, calculation of a priori estimation
Journal rubric: Optimization Methods
Article type: scientific article
DOI: https://doi.org/10.17759/mda.2024140109
Received: 01.03.2024
Accepted:
For citation: Panteleev A.V., Karane M.S. Approximate Synthesis of Optimal Deterministic Control Systems with Incomplete Feedback Based on Sufficient ε-Optimality Conditions. Modelirovanie i analiz dannikh = Modelling and Data Analysis, 2024. Vol. 14, no. 1, pp. 135–154. DOI: 10.17759/mda.2024140109. (In Russ., аbstr. in Engl.)
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