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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sunahara, Yoshifumi Aihara, Shin'Ichi Ishikawa, Masaaki |
| Copyright Year | 1983 |
| Description | Author affiliation: Department of Mechanical Engineering, Kyoto Institute of Technology, Matsugasaki, Sakyo-ku, Kyoto, 606, JAPAN (Sunahara, Yoshifumi; Aihara, Shin'Ichi; Ishikawa, Masaaki) |
| Abstract | The purpose of this paper is to derive the optimal least square state estimator for a class of stochastic pseudo-parabolic systems under noisy observations., First, we are concerned with a study on solution properties of the state equation. Within the framework of function spaces, a rigorous treatment on a class of partial differential equations with stochastic coefficient is demonstrated by showing the existence and uniqueness theorem and, furthermores the regularity theorem for the solution. Secondly, the dynamics of the least square state estimator is given under a distributed observation mechanism. Finally, for the purpose of supporting the theoretical aspects developed here, an example is shown including results of digital simulation experiments. |
| Starting Page | 102 |
| Ending Page | 107 |
| File Size | 406735 |
| Page Count | 6 |
| File Format | |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1983-06-22 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | State estimation Stochastic systems Stochastic processes Partial differential equations Least squares approximation Mechanical engineering Mechanical factors Differential equations Digital simulation Distributed parameter systems |
| Content Type | Text |
| Resource Type | Article |
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