Abstract:
A problem of impulse measurement feedback control is considered with noisy observations. The solution scheme is based on dynamic programming techniques in the form of analogs of Hamiltonian formalism equations, and the solution is a sequence of delta functions. The sets of state vectors compatible with a priori data and current measurements are considered as the information state of the system. Observation models are considered either as continuous with “uncertain” disturbances, for which there is no statistical description, or as stochastic and discrete ones coming from a communication channel in the form of a Poisson flow with disturbances that are distributed uniformly over a given set. All the results are obtained by means of operations in a finite-dimensional space. Computation schemes are discussed. Examples of numerical modeling are presented.
Keywords:
impulse control, information state, nonlinear control synthesis, Poisson distribution, guaranteed estimation.
Citation:
A. N. Daryin, I. A. Digailova, A. B. Kurzhanski, “On the problem of impulse measurement feedback control”, Trudy Inst. Mat. i Mekh. UrO RAN, 15, no. 3, 2009, 92–105; Proc. Steklov Inst. Math. (Suppl.), 268, suppl. 1 (2010), S71–S84
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\paper On the problem of impulse measurement feedback control
\serial Trudy Inst. Mat. i Mekh. UrO RAN
\yr 2009
\vol 15
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\pages 92--105
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\jour Proc. Steklov Inst. Math. (Suppl.)
\yr 2010
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\pages S71--S84
\crossref{https://doi.org/10.1134/S0081543810050068}
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Linking options:
https://www.mathnet.ru/eng/timm408
https://www.mathnet.ru/eng/timm/v15/i3/p92
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T. F. Filippova, O. G. Matviichuk, “Algorithms to estimate the reachability sets of the pulse controlled systems with ellipsoidal phase constraints”, Autom. Remote Control, 72:9 (2011), 1911–1924