An off-line Model Predictive Control (MPC) method based on ellipsoidal calculus and
viability theory is described in order to address control problems in the presence of state and …

This paper presents a new distributed robust model predictive control algorithm for
multivehicle trajectory optimization and demonstrates the approach with numerical …

A stochastic receding-horizon control approach for constrained Linear Parameter Varying
discrete-time systems is proposed in this paper. It is assumed that the time-varying …

The series Advances in Industrial Control aims to report and encourage technology transfer
in control engineering. The rapid development of control technology has an impact on all …

An efficient robust constrained model predictive control algorithm with a time varying
terminal constraint set is developed for systems with model uncertainty and input constraints …

This paper focuses on the model predictive control (MPC) issue where the measurable state
is released under an event-triggered mechanism (ETM) to implement MPC over an infinite …

A novel closed-loop model-based predictive control (MPC) strategy for input-saturated
polytopic linear parameter varying (LPV) discrete-time systems is proposed. It is postulated …

This paper proposes a robust output feedback model predictive control (MPC) scheme for
linear parameter varying (LPV) systems based on a quasi-min–max algorithm. This …

A new robust model predictive control (RMPC) design algorithm is proposed for a linear
uncertain system with a polytopic description and subject to actuator saturation. This …

In this paper, we propose a new robust MPC method that guarantees stability and offset-free
set point tracking in the presence of model uncertainty. A min-max optimization problem that …