Abstract
In this paper, a neural network based controller which optimizes a finite horizon quadratic cost function is developed for a class of nonlinear systems with unknown dynamics. The controller is applied to a cantilever plate. Two implementation methods are introduced. One utilizes a look-up table to obtain the control off-line. The other is a neural network controller. The open loop and close loop responses for both types of controllers are presented.
| Original language | American English |
|---|---|
| Pages (from-to) | 520-522 |
| Number of pages | 3 |
| Journal | Proceedings of the IEEE Conference on Decision and Control (1998, Tampa, FL) |
| Volume | 1 |
| DOIs | |
| State | Published - Dec 1 1998 |
| Event | Proceedings of the 1998 37th IEEE Conference on Decision and Control (CDC) - Tampa, FL, USA Duration: Dec 16 1998 → Dec 18 1998 |
ASJC Scopus Subject Areas
- Control and Systems Engineering
- Modeling and Simulation
- Control and Optimization
Keywords
- Cantilever plates
- Closed loop control systems
- Intelligent control
- Iterative methods
- Neural networks
- Optimal control systems
- Plates (structural components)
Disciplines
- Electrical and Computer Engineering
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