Abstract: In this paper, a model predictive control (MPC) approach with finite-time convergence is proposed for constrained discrete-time linear systems.

Dec 14, 2020 · In this paper, a model predictive control (MPC) approach with finite-time convergence is proposed for constrained discrete-time linear ...

Abstract—In this paper, a model predictive control (MPC) approach with finite-time convergence is proposed for con- strained discrete-time linear systems.

In this paper, a robust self-triggered model predictive control (MPC) scheme is proposed for linear discrete-time systems subject to additive disturbances, ...

May 8, 2024 · In this paper, a model predictive control (MPC) framework is proposed for finite-time stabilization of linear and nonlinear discrete-time ...

This paper investigates the problem of a mixed H 2 / H ∞ model predictive control (MPC) for a class of discrete-time switched linear systems in the presence of ...

The focus of this chapter is on MPC of constrained dynamic systems, both linear and nonlin‐ ear, to illuminate the ability of MPC to handle constraints that ...

This paper proposes a Distributed Model Predictive Control (DMPC) approach for a family of discrete-time linear systems with local (uncoupled) and global ...

Set invariance theory ([6, 7, 8, 9, 10]) is a very useful tool for analyzing dynamical systems subject to constraints allowing the extension of stability.

点击次数： 217 发表刊物：proceedings of IEEE Conference on Decision and Control (CDC) 合写作者：Zongyu Zuo,Zhengtao Ding 第一作者：Bing Zhu