In this paper, a serial distributed model predictive control (MPC) approach for connected
automated vehicles (CAVS) is developed with local stability (disturbance dissipation over …

This paper provides a novel solution to the problem of robust model predictive control of
constrained, linear, discrete-time systems in the presence of bounded disturbances. The …

This paper extends tube‐based model predictive control of linear systems to achieve robust
control of nonlinear systems subject to additive disturbances. A central or reference …

A form of feedback model predictive control (MPC) that overcomes disadvantages of
conventional MPC but which has manageable computational complexity is presented. The …

Two robust model predictive control (MPC) schemes are proposed for tracking unicycle
robots with input constraint and bounded disturbances: tube-MPC and nominal robust MPC …

In this paper a robust model predictive control (MPC) for constrained discrete-time nonlinear
system with additive uncertainties is presented. This controller uses a terminal cost, terminal …

This paper deals with the robustness of Model Predictive Controllers for constrained
uncertain nonlinear systems. The uncertainty is assumed to be modeled by a state and input …

Model Predictive Control (MPC) is an area in rapid development with respect to both
theoretical and application aspects. The former petrochemical applications of MPC were …

This paper presents a robust nonlinear model predictive control (NMPC) scheme for the
dynamic positioning (DP) ship subject to time-varying environmental disturbances and input …

This paper develops a disturbance rejection model predictive control (MPC) scheme for
tracking nonholonomic vehicle with coupled input constraint and matched disturbances. Two …