A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs) ...

a model predictive control (MPC)–based online feedback algorithm is well designed by the virtue of rapid data transmission enabled by digitalization. The MPC optimization is a convex quadratic ...

In this research, the aim is to find a model that contributes to solving ... Modeling of the Optimal Poverty Control Problem, Resolution digital by an Algorithmic implementation under a Matlab ...

Model predictive ... when CCS-MPC solves the quadratic programming (QP) problem. This paper presents the simulation results and discusses the influence of inaccurate modeling of load resistance and ...

We hypothesize that this offset reflects the effect of recent, widespread interventions that were not as prevalent during model development. Despite this offset, the similar slope of the relationship ...

In this work, we study a simultaneous process design and control methodology using infinite horizon model predictive control (IHMPC ... of tracking utopia objectives in the form of a quadratic ...

Abstract: This paper extends an existing linear quadratic model predictive control (LQMPC) approach to multi-destination traffic networks, where the correct origin-destination (OD) relations are ...