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Predictor design using an improved grey model in control systems.

, , and . Int. J. Computer Integrated Manufacturing, 28 (3): 297-306 (2015)

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A New Reliability Prediction Model in Manufacturing Systems., , , and . IEEE Trans. Reliability, 59 (1): 170-177 (2010)A direct PID gains tuning method for DC motor control using an input-output data generated by disturbance response.. CCA, page 724-729. IEEE, (2011)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)Predictor design using an improved grey model in control systems., , and . Int. J. Computer Integrated Manufacturing, 28 (3): 297-306 (2015)A direct computation of state deadbeat feedback gains., , and . IEEE Trans. Autom. Control., 38 (8): 1283-1284 (1993)Data-driven generalized minimum variance regulatory control., , and . ECC, page 418-423. IEEE, (2014)On a direct relation between GPC in a state space approach and GPC in a polynomial approach.. ECC, page 3440-3445. IEEE, (2001)Virtual reference feedback tuning using closed-loop step response data in frequency domain., , , and . ASCC, page 1-4. IEEE, (2015)Data-driven linearly parametrized controller design based on minimum variance evaluation., and . ASCC, page 513-518. IEEE, (2017)