Optimal Adaptive Estimation and Stochastic Control for Distributed-Parameter Systems

Keigo Watanabe, Toshio Yoshimura, Takashi Soeda

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


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
Issue number1
Publication statusPublished - Feb 1982
Externally publishedYes

ASJC Scopus subject areas

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


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

Cite this