Davood Shaghaghi

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Control of pH neutralization process has always been one of challenging problem in process control. The method presented here to control this process is the fuzzy identification of systems using Wiener model, and then multiplying the measured signal by the inverse of the nonlinear part of model. Therefore, we can design a linear controller for this new(More)
pH neutralization process is a nonlinear process with time varying characteristics. Usually, the model based control of this process is a difficult task. Regarding to the appropriate modelling of the pH process by a Wiener model, in this paper an inverse model based control scheme is presented in which a fractional order controller is used as a linear(More)
This paper proposes a model bank selection method for a large class of nonlinear systems with wide operating ranges. In particular, nonlinearity measure and H-gap metric are used to provide an effective algorithm to design a model bank for the system. Then, the proposed model bank is accompanied with model predictive controllers to design a high performance(More)
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