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PID controller tuning for a multivariable glass furnace process by genetic algorithm.

, , , and . Int. J. Autom. Comput., 13 (1): 64-72 (2016)

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Nonlinear Observer Fault Detection for a Multivariable Process Using a Learning Methodology., , , , and . ICAC, page 1-6. IEEE, (2018)Predetermined time constant approximation method for optimising search space boundary by standard genetic algorithm., , , and . CompSysTech, page 38-45. ACM, (2015)Decentralised PID control tuning for a multivariable glass furnace by genetic algorithm., , , and . ICAC, page 14-19. IEEE, (2014)Fault diagnosis for wind turbine systems using unknown input observer., , , , and . ICAC, page 1-6. IEEE, (2019)Robustness assessment and adaptive FDI for car engine., , and . Int. J. Autom. Comput., 5 (2): 109-118 (2008)Selecting radial basis function network centers with recursive orthogonal least squares training., and . IEEE Trans. Neural Networks Learn. Syst., 11 (2): 306-314 (2000)Model parameters identification for excess oxygen by Standard Genetic Algorithm., , , and . ICAC, page 198-203. IEEE, (2016)Adaptive feed-forward and feedback control using neural networks for oxygen ratio in fuel cell stacks., , , and . CompSysTech, page 323-328. ACM, (2011)Neural network fault classification of transient data in an automotive engine air path., , and . Int. J. Model. Identif. Control., 3 (2): 148-155 (2008)PID controller tuning for a multivariable glass furnace process by genetic algorithm., , , and . Int. J. Autom. Comput., 13 (1): 64-72 (2016)