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Intelligent coordination of multiple systems with neural networks
By: Shin, K.G.; Cui, X.;
1991 / IEEE
This item was taken from the IEEE Periodical ' Intelligent coordination of multiple systems with neural networks ' A multiple-system coordinator that combines the techniques of intelligent control and neural networks, and forms the high-level coordinator in a hierarchical structure, is proposed. The basic idea is to estimate the effects of the control commands to subsystems using a predictor and modify these commands using a knowledge-based coordinator so as to achieve the desired performance. The predictor was designed for multiple-input, multiple-output systems using neural networks. The knowledge-based coordinator is responsible for a goal-oriented search in its knowledge base and the overall system stability. As an example, the coordination of two two-link robots holding a single object is discussed.<
Knowledge Based Systems
Multivariable Control Systems
Real Time Systems
Signal Processing And Analysis