Optimal Adaptive Estimation and Stochastic Control for Distributed-Parameter Systems

Keigo Watanabe; Toshio Yoshimura; Takashi Soeda

doi:10.1109/TAC.1982.1102826

Optimal Adaptive Estimation and Stochastic Control for Distributed-Parameter Systems

Keigo Watanabe, Toshio Yoshimura, Takashi Soeda

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

The problems of adaptive estimation and control for a general class of linear stochastic partial differential dynamical systems are studied by using the well-known Lainiotis' partition theorem. From the physically realizable point of view, the sensor and interior controller are of pointwise type. As a consequence, it is shown that this theorem leads to a unified treatment of an adaptive control problem under incomplete state informations.

Original language	English
Pages (from-to)	216-219
Number of pages	4
Journal	IEEE Transactions on Automatic Control
Volume	27
Issue number	1
DOIs	https://doi.org/10.1109/TAC.1982.1102826
Publication status	Published - Feb 1982
Externally published	Yes

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/TAC.1982.1102826

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author = "Keigo Watanabe and Toshio Yoshimura and Takashi Soeda",

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AB - The problems of adaptive estimation and control for a general class of linear stochastic partial differential dynamical systems are studied by using the well-known Lainiotis' partition theorem. From the physically realizable point of view, the sensor and interior controller are of pointwise type. As a consequence, it is shown that this theorem leads to a unified treatment of an adaptive control problem under incomplete state informations.

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Optimal Adaptive Estimation and Stochastic Control for Distributed-Parameter Systems

Abstract

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