Identification and Control of Systems With and Without Zeros Via Approximation of the State Evolution Function

IEEE Latin America Transactions(2014)

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摘要
Solution to the identification and control problems for linear and non linear systems is found using state-space theory and tools of artificial intelligence. We review previous results using the Hybrid State Transition Kernel, which has as distinctive features 1) requires little a priori information, 2) is independent of the approximation or learning method, 3) uses the same data for identificatio...
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关键词
Silicon compounds,Approximation methods,Artificial intelligence,Robots,Vectors,Robustness,Control systems
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