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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Aczon, M. Banks, H.T. Fitzpatrick, B.G. |
| Copyright Year | 1992 |
| Description | Author affiliation: Dept. of Math., Harvey Mudd Coll., Claremont, CA, USA (Aczon, M.) |
| Abstract | An adaptation of the linear regulator problem to handle systems depending on parameters that are unknown is discussed. A probability distribution quantifies the uncertainty in the parameter, and this distribution is used in a quadratic cost functional. This approach leads to an extension of the state space, treating the state variable as a function of the parameter. Minimizing this cost gives rise to Riccati equations in the new state space. Moreover, using a Bayesian updating scheme, one can refine the probability distribution and develop an adaptive controller.< |
| Starting Page | 1168 |
| Ending Page | 1171 |
| File Size | 390078 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780308727 |
| DOI | 10.1109/CDC.1992.371533 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1992-12-16 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Regulators Probability distribution State-space methods Riccati equations Uncertainty Cost function Bayesian methods Programmable control Adaptive control |
| Content Type | Text |
| Resource Type | Article |
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