This paper introduces a new data-driven MPC structure based on two offline and online parts to achieve the robust constrained performance in an optimal scheme. In first step, according model matching condition, controller is designed reach tracking performance. addition, reduce effects of external disturbance, data-driven-based disturbance observer presented estimate disturbance. Therefore, rob...

Conventional predictive control (PC) has been employed for machine drives due to good dynamic response and easy implementation. However, the disturbance caused by parameter mismatch is one of main barriers its widespread application. In order deal with this issue, work proposes a novel model-free current (MFPCC) surfaced permanent magnet synchronous machines (SPMSM). The contribution that exten...

In this work we focus on estimation-based networked predictive control of nonlinear systems. We propose an output feedback controller based on the combination of a high-gain observer with a Lyapunov-based model predictive controller that takes data losses explicitly into account both in the controller design and in the implementation. We provide precise bounds on the data loss sequence such tha...