Abstract
There are several types of NNs that can be used in control systems as direct or indirect controllers (discussed in Chapter 2): the multi-layered feedforward, the Kohonen’s self-organizing map, the Hopfield network, the Boltzmann machine, etc.. These types of NNs are based on the biological nervous systems. The layered structure of parts of the brain, and multilayer (instead of single layer) arrangement of neurons in biological systems comprise the main idea of mimicking the biological neural system for obtaining higher capabilities in learning algorithms.
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Teshnehlab, M., Watanabe, K. (1999). Self-Tuning Computed Torque Control: Part I. In: Intelligent Control Based on Flexible Neural Networks. International Series on Microprocessor-Based and Intelligent Systems Engineering, vol 19. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9187-4_5
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DOI: https://doi.org/10.1007/978-94-015-9187-4_5
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