A learning approach to the parameter-adaptive self-organizing control problem
作者： G.N. Saridis , T.K. Dao
DOI: 10.1016/0005-1098(72)90030-1
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摘要: A new algorithm for the solution of Parameter-Adaptive Self-Organizing Control Problem is proposed. The based on learning property a posteriori probabilities parameter estimates, which forces to converge optimal rapidly. relatively simple implement and does not consume extensive computer time. Comparison with existing algorithms also given.
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