January 1, 2025Известия Российской академии наук Теория и системы управления / Journal of Computer and System Sciences International

Operational-Optimal Finite-Dimensional Dynamic Controller of the Stochastic Differential Plant’s State According to Its Output. Ii. Linear-Gaussian Plant With Inaccurate State Measurements and a Quadratic Biquadratic Criterion

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Optimal dynamic controller is established for stochastic differential systems with measurement inaccuracies, improving efficiency.
Key findings reveal the relationship between the conditional probability density and controller performance metrics.
Approach utilizes Gaussian and Monte Carlo methods to derive a linear regulator for specific performance criteria.
Implications highlight potential for enhancing control strategies in nonlinear systems facing measurement uncertainty.

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Algorithm finds a linear regulator that improves performance in nonlinear stochastic plants, suggesting effective control solutions.

E. A. Rudenko (2025) studied this question.

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