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 ...

This paper investigates the distributed model predictive control (DMPC) problem for a network of linear discrete-time systems with coupled constraints over time-varying directed communication network.

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...