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 | |
| 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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Watanabe, K., Yoshimura, T., & Soeda, T. (1982). Optimal Adaptive Estimation and Stochastic Control for Distributed-Parameter Systems. IEEE Transactions on Automatic Control, 27(1), 216-219. https://doi.org/10.1109/TAC.1982.1102826