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Aiming at temperature of active solar house heating system ,which has a non-linear, large time-delay, time-varying and model uncertain characteristics , to solve the problem, neural network self-tuning PID control algorithm is proposed. The algorithm takes the advantages of PID control algorithm for system adaptability and robustness, and has advantages of self-learning ability and adjusting the weights...
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