We employ a novel data-enabled predictive control (DeePC) algorithm in voltage source converter (VSC)-based high-voltage DC (HVDC) stations to perform safe and optimal wide-area for power system oscillation damping. Conventional is model based. However, practice, detailed accurate parametric models are rarely available. In contrast, the DeePC uses only input-output data measured from unknown pr...

In this paper, a constrained discete model predictive control (CDMPC) strategy for greenhouse inside temperature is presented. To describe the dynamics of our system’s temperature, an experimental prototype engaged. For mathematical modeling, state space form which fits properly acquired data identified using subspace system identification (N4sid) algorithm. The obtained used in order to develo...

Robust tube-based model predictive control (MPC) methods address constraint satisfaction by leveraging an a priori determined tube controller in the prediction to tighten constraints. This letter presents system level tube-MPC (SLTMPC) method derived from parameterization (SLP), which allows optimization over online when solving MPC problem, can significantly reduce conservativeness. We derive ...