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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chellaboina, V. Ranga, M.K. |
| Copyright Year | 2005 |
| Description | Author affiliation: Mechanical, Aerosp., & Biomedical Eng., Tennessee Univ., Knoxville, TN, USA (Chellaboina, V.) |
| Abstract | In this paper, we present a case study of several examples involving optimal positive real control design for positive real plants. Specifically, we apply genetic algorithms to obtain low order optimal control designs with and without the strict positive real constraint on the compensator. This study shows that genetic search strategy is an effective approach for designing low order optimal controllers with complex constraints such as strict positive realness of the compensator. Furthermore, the examples studied also shed some new light on optimal positive real control problems. |
| Sponsorship | American Automatic Control Council |
| Starting Page | 1407 |
| Ending Page | 1412 |
| File Size | 251647 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780390989 |
| ISSN | 07431619 |
| e-ISBN | 0780390997 |
| DOI | 10.1109/ACC.2005.1470162 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-06-08 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Optimal control Genetic algorithms Equations Control design Algorithm design and analysis Aerodynamics Convergence Aerospace engineering Linear matrix inequalities Cost function |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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