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Linear Systems
Some algorithms for the improvement of time-varying controllers on an infinite time horizon
M. M. Khrustalev, K. A. Tsarkov Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, 117997 Russia
Abstract:
We study the problem of optimizing a dynamic stochastic state-linear and control-nonlinear system operating on an infinite time horizon with respect to a quadratic cost functional. Several algorithms for the successive improvement of a given time-varying program control are proposed. They can be used, in particular, for designing high-performance dynamic incomplete-feedback controllers in deterministic linear time-invariant systems. A number of rigorous statements regarding the original optimization problem are stated and proved to justify the improvement algorithms.
Keywords:
dynamic feedback, infinite time horizon, nonlinear stochastic system, structural constraint.
Citation:
M. M. Khrustalev, K. A. Tsarkov, “Some algorithms for the improvement of time-varying controllers on an infinite time horizon”, Avtomat. i Telemekh., 2021, no. 12, 73–89; Autom. Remote Control, 82:12 (2021), 2097–2111
Linking options:
https://www.mathnet.ru/eng/at15675 https://www.mathnet.ru/eng/at/y2021/i12/p73
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Statistics & downloads: |
Abstract page: | 157 | Full-text PDF : | 5 | References: | 31 | First page: | 31 |
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