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• W2022089524 abstract "A neural network controller is developed to learn the inverse dynamics of unknown dynamic systems and to serve as a feedforward controller. Artificial neural networks, which consist of a set of processing units with interconnections between them, are used to get the desired output. The interconnections, known as weights, can be on-line tuned. Hence the controller is adaptive in nature. Neural networks can be used to represent the inverse dynamics of unknown dynamic systems. The error back propagation technique is used in the learning process. The controller is intelligent enough to learn from its experience. The performance of the intelligent controller for learning and control of dynamic systems is very successful." @default.
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• W2022089524 date "1993-05-01" @default.
• W2022089524 modified "2023-10-17" @default.
• W2022089524 title "Intelligent control of dynamic systems" @default.
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• W2022089524 doi "https://doi.org/10.1016/0016-0032(93)90095-c" @default.
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