Application of neural networks for control of chaotic systems
Conference
·
OSTI ID:81603
- Visual Solutions, Inc., Westford, MA (United States)
- Univ. of Massachusetts, Lowell, MA (United States)
This paper investigates the feasibility of alternative and more general ways to control nonlinear and chaotic systems, based on Artificial Neural Networks (ANN). A chaotic system model is considered and a neural network is trained to serve as an intelligent controller for the system. During the training phase, a conventional controller is used as the teacher. The neural controller is placed in the closed loop after the training phase. Simulation results indicate that the neural net controller performs satisfactorily, compared to conventional closed-loop controllers.
- Research Organization:
- USDOE Pittsburgh Energy Technology Center, PA (United States); Oregon State Univ., Corvallis, OR (United States). Dept. of Computer Science; Naval Research Lab., Washington, DC (United States); Electric Power Research Inst., Palo Alto, CA (United States); Bureau of Mines, Washington, DC (United States)
- OSTI ID:
- 81603
- Report Number(s):
- CONF-9410335--; ON: DE95011702
- Country of Publication:
- United States
- Language:
- English
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