Model predictive control (MPC) is an appropriate method for this problem. This paper presents a comprehensive rSOC plant model to describe the multiscale dynamics ... Then, a time-varying MPC strategy ...

The paper presents a stabilizing model predictive control (MPC) scheme for time-varying non-linear systems subject to input constraints. A state-feedback MPC law is computed by minimizing an upper ...

In this work, we develop a novel adaptive model predictive control (AMPC) formulation for multivariable time-varying systems. A two-tier modeling scheme is proposed in which the deterministic and ...

Contingency Model Predictive Control for Linear Time-Varying Systems - 知乎 (zhihu.com) Alsterda, John P., Matthew Brown and J. Christian Gerdes. “Contingency Model Predictive Control for Automated ...

A time-varying networked predictive control method was proposed in the study by (Yang et al., 2014) for a network control system with communication delay. The MPC method ( Liu et al., 2017 ) is ...

1 Introduction. Model predictive control (MPC) is a useful tool when dealing with stabilization or tracking problem with constraints. It solves a finite horizon optimal control problem in a receding ...

Dynamic optimisation and model predictive control (MPC) are at the forefront of modern process systems engineering, offering robust methodologies to address the challenges posed by time-varying ...

The graph below shows the total number of publications each year in Model Predictive Control Techniques and Applications. References [1] Heat exchanger control using model predictive control with ...

Model predictive path planning with time-varying safety constraints for highway autonomous driving Citation: M. Jalalmaab, Fidan, B. , Jeon, S. , and Falcone, P. , “Model predictive path planning with ...

The approach uses a model to control the environment. This family of methods is called Model Predictive Control (MPC). At each interaction with the real environment, the optimal action is obtained ...