X Yu-Geng, L De-Wei, L Shu - Acta Automatica Sinica, 2013 - Elsevier
For the last 30 years the theory and technology of model predictive control (MPC) have been developed rapidly. However, facing the increasing requirements on the constrained …
A Boccia, L Grüne, K Worthmann - Systems & control letters, 2014 - Elsevier
In this paper we investigate stability and recursive feasibility of a nonlinear receding horizon control scheme without terminal constraints and costs but imposing state and control …
We characterize the maximum controlled invariant (MCI) set for discrete-as well as continuous-time nonlinear dynamical systems as the solution of an infinite-dimensional …
In this paper, we present an online nonlinear Model Predictive Control (MPC) method for collision-free, deadlock-free navigation by multiple autonomous nonholonomic Wheeled …
The book presents a significant expansion in depth and breadth of the previous edition. It includes substantially more numerical illustrations and copious supporting MATLAB code …
One of the most fundamental problems in model predictive control (MPC) is the lack of guaranteed stability and feasibility. It is shown how Farkas' Lemma in combination with …
We consider sampled-data Model Predictive Control (MPC) of nonlinear continuous-time control systems. We derive sufficient conditions to guarantee recursive feasibility and …
Y Chen, N Scarabottolo, M Bruschetta… - IET Control Theory & …, 2020 - Wiley Online Library
Move blocking (MB) is a widely used strategy to reduce the degrees of freedom (DoFs) of the optimal control problem (OCP) arising in receding horizon control. The size of the OCP is …
This technical note considers linear discrete-time systems with additive, bounded, disturbances subject to hard control input bounds and a stochastic constraint on the amount …