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- W1557983093 abstract "Neural networks are now being extensively used as feedback controllers. The authors overview the basic approaches to neurocontroller development and concentrate their attention on the model-based neurocontrol design approach. Controller design is viewed as an optimization problem, and a basic distinction is made between gradient-based and nongradient-based algorithms. The former impose constraints on the design problem in order to facilitate the computational aspects of the optimization, whereas nongradient-based optimization allows for general problem formulations but at significant computational cost. The Parametrized Neurocontroller concept is discussed to motivate the need for nongradient-based optimization and an evolutionary optimization algorithm is presented." @default.
- W1557983093 created "2016-06-24" @default.
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- W1557983093 date "2005-08-25" @default.
- W1557983093 modified "2023-09-27" @default.
- W1557983093 title "Neural networks as process controllers-optimization aspects" @default.
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- W1557983093 doi "https://doi.org/10.1109/acc.1994.735006" @default.
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