An integrated strategy for the tracking control of product qualities in batch processes is proposed by combing batch-to-batch iterative learning control (ILC) with on-line shrinking horizon model predictive control (SHMPC) within a batch. ILC is used in batch-to-batch control and the convergence of batch-wise tracking error under ILC is guaranteed. On-line SHMPC within a batch can reduce the ef...

In this paper, an adaptive control strategy is proposed for the inverters of renewable energy source (RES) to simultaneously control the load voltage, grid current and the amount of instantaneous injected power to the grid in the presence of grid voltage distortions and nonlinearity of load current. In the proposed control strategy, the power quality of the local load can be settled based on th...

The paper addresses the PID control design and implementation based on the model predictive control approach that is able to deal with data dropouts in the control system. In model predictive control the future control inputs sequence up to a given horizon are calculated at each sampling instant. In case the current output value is not available, the value of future control input calculated at ...

This paper presents a new control strategy using model-based predictive current (MB-PCC) for doubly fed induction machine (DFIM) driven by an indirect matrix converter (IMC). proposes the of rotor currents, whose references are calculated from active and reactive stator power set points dynamic model DFIM. The works well in four P-Q operating regions grid synchronization process is carried out ...