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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Marra, M.A. Boling, B.E. Walcott, B.L. |
| Copyright Year | 1996 |
| Description | Author affiliation: Dept. of Electr. Eng., Kentucky Univ., Lexington, KY, USA (Marra, M.A.) |
| Abstract | This study presents a method of adaptive system control based on genetic algorithms. The method consists of a population of controllers evolving towards an optimum controller through the use of probabilistic genetic operators. A brief overview of genetic algorithms is first given. The remainder of the paper identifies the problems associated with genetic algorithms controllers, and addresses the key issue of stability. A theoretical analysis of the genetic algorithm controller shows the population converges to stable controllers. The controller is then employed to optimize the regulation of a ball-beam system. The dynamics of the ball-beam and the results of computer simulations of the control system are given in support of the developed theory. The genetic algorithm controller is shown to optimize the regulation of the ball-beam system in with respect to an LQR performance index. |
| Starting Page | 608 |
| Ending Page | 613 |
| File Size | 713386 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780329759 |
| DOI | 10.1109/CCA.1996.558930 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-09-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Control systems Genetic algorithms Adaptive systems Programmable control Adaptive control Stability Algorithm design and analysis Computer simulation Control system synthesis Performance analysis |
| Content Type | Text |
| Resource Type | Article |
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