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Self-tuning PID controller based on generalized minimum variance evaluation.

, and . CCA, page 1248-1253. IEEE, (2015)

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Direct Control Parameter Tuning Method for Disturbance Attenuation Based on Variance Evaluation., , and . ALCOSP, page 582-586. International Federation of Automatic Control, (2013)Closed-loop identification of plant and disturbance models based on generalized minimum variance evaluation., , and . CCA, page 175-180. IEEE, (2015)Self-tuning PID controller based on generalized minimum variance evaluation., and . CCA, page 1248-1253. IEEE, (2015)Fictitious reference iterative tuning based on variance evaluation for disturbance attenuation in non-minimum phase plants., , and . CCA, page 1593-1598. IEEE, (2015)ASPR based Adaptive Output Feedback Control with an Output Predictive Feedforward Input for Continuous-Time Systems., , and . CDC, page 613-619. IEEE, (2018)Predictor design using an improved grey model in control systems., , and . Int. J. Computer Integrated Manufacturing, 28 (3): 297-306 (2015)Moving horizon simultaneous estiamtion of process gain and disturbanes for an oxygen converter gas r., , , , , and . ALCOSP, page 75-80. International Federation of Automatic Control, (2007)A New Reliability Prediction Model in Manufacturing Systems., , , and . IEEE Trans. Reliability, 59 (1): 170-177 (2010)Simultaneous update of model and controller using fictitious reference iterative tuning for disturbance attenuation based on variance evaluation., , and . CCA, page 1449-1454. IEEE, (2014)Data-driven generalized minimum variance regulatory control for model-free PID gain tuning., , and . CCA, page 82-87. IEEE, (2015)