in this paper, a neural network model reference adaptive system speed observer is designed, which can be used in speed control of linear induction motors (lims). dynamical equations of lim have been considered accurate. in other words, the end effect and the electrical losses of the motor have been included in the motor equivalent circuit. then equations of the reference model and adaptive mode...

Model predictive controller is widely used in industrial plants. Uncertainty is one of the critical issues in real systems. In this paper, the direct adaptive Simplified Model Predictive Control (SMPC) is proposed for unknown or time varying plants with uncertainties. By estimating the plant step response in each sample, the controller is designed and the controller coefficients are directly ca...

This paper details a multiple model adaptive control strategy for model predictive control (MPC). To maintain performance of this linear controller over a wide range of operating levels, a multiple model adaptive control strategy for dynamic matrix control (DMC), the process industry’s standard for MPC, is presented. The method of approach is to design multiple linear DMC controllers. The tunin...

The purpose of this paper is to marry the two concepts of multiple model adap-tive control and safe adaptive control. In its simplest form, Multiple Model Adaptive Control involves a supervisor switching among one of a nite number of controllers as more is learnt about the plant, until one of the controllers is nally selected and remains unchanged. Safe adaptive control is concerned with ensuri...