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- W195083669 abstract "Conventional methods for control of dynamical systems require knowledge of the system in analytical form. In practical applications this knowledge is mostly available only in empirical form by taking measurements. Neural networks are the appropriate tools for dealing with such empirical information. This paper demonstrates the capabilities of neural networks in control. After giving an impression about neural techniques relevant for control problems we present simulation results of a robot arm path tracking system with a neural inverse model. The relevance of our investigations for neurobionics is pointed out." @default.
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- W195083669 date "1993-01-01" @default.
- W195083669 modified "2023-09-27" @default.
- W195083669 title "CONCEPTS AND METHODS IN NEURAL CONTROL" @default.
- W195083669 doi "https://doi.org/10.1016/b978-0-444-89958-3.50014-0" @default.
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