This paper presents a novel approach to introducing adaptation in Model Predictive Control (MPC). Assuming limited priori knowledge about the process, we consider finite set of possible models (a dictionary), and use theory adversarial multi-armed bandits develop an adaptive version MPC called (AAMPC). Under weak assumptions on dictionary components, then establish theoretical bounds performanc...

the control of car following is essential due to its safety and its operational efficiency. for this purpose, this paper builds a model of car following behavior based on armax structure from a real traffic dataset and design a model predictive control (mpc) system. based on the relative distance and relative acceleration of each instant, the mpc predicts the future behavior of the leader vehic...

In this paper, self-tuning model predictive control (MPC) based on a type-2 fuzzy system for microgrid frequency is presented. The calculates the parameters and coefficients of online. examined, there are sources photovoltaic power generation, wind, diesel, fuel cells (with hydrogen electrolyzer), batteries flywheels. simulating load changes, changes in production capacity solar wind resources ...

For constrained linear systems with bounded disturbances and parametric uncertainty, we propose a robust adaptive model predictive control strategy online parameter estimation. Constraints enforcing persistently exciting closed loop actions are introduced for set-membership identification scheme. The algorithm requires the solution of convex program, satisfies constraints robustly, ensures recu...