Optimal Adaptive Estimation and Stochastic Control for Distributed-Parameter Systems

Keigo Watanabe, Toshio Yoshimura, Takashi Soeda

Research output: Contribution to journalArticle

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 languageEnglish
Pages (from-to)216-219
Number of pages4
JournalIEEE Transactions on Automatic Control
Volume27
Issue number1
DOIs
Publication statusPublished - 1982
Externally publishedYes

Fingerprint

Dynamical systems
Controllers
Sensors

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Optimal Adaptive Estimation and Stochastic Control for Distributed-Parameter Systems. / Watanabe, Keigo; Yoshimura, Toshio; Soeda, Takashi.

In: IEEE Transactions on Automatic Control, Vol. 27, No. 1, 1982, p. 216-219.

Research output: Contribution to journalArticle

@article{37dc0b8cc4804bdd86726b4e952fa0d1,
title = "Optimal Adaptive Estimation and Stochastic Control for Distributed-Parameter Systems",
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.",
author = "Keigo Watanabe and Toshio Yoshimura and Takashi Soeda",
year = "1982",
doi = "10.1109/TAC.1982.1102826",
language = "English",
volume = "27",
pages = "216--219",
journal = "IEEE Transactions on Automatic Control",
issn = "0018-9286",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",

}

TY - JOUR

T1 - Optimal Adaptive Estimation and Stochastic Control for Distributed-Parameter Systems

AU - Watanabe, Keigo

AU - Yoshimura, Toshio

AU - Soeda, Takashi

PY - 1982

Y1 - 1982

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=0020090897&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0020090897&partnerID=8YFLogxK

U2 - 10.1109/TAC.1982.1102826

DO - 10.1109/TAC.1982.1102826

M3 - Article

AN - SCOPUS:0020090897

VL - 27

SP - 216

EP - 219

JO - IEEE Transactions on Automatic Control

JF - IEEE Transactions on Automatic Control

SN - 0018-9286

IS - 1

ER -