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

Access to Document

10.1109/TAC.1982.1102826

Fingerprint Dive into the research topics of 'Optimal Adaptive Estimation and Stochastic Control for Distributed-Parameter Systems'. Together they form a unique fingerprint.

Cite this

@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",

month = feb,

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 - 1982/2

Y1 - 1982/2

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 -