Model predictive iterative learning control (MPILC) is a popular approach to control batch
systems with repetitive nature, as it is capable of tracking the plant reference trajectory with …

With the increasing requirements for vehicle adaptability and maneuverability in various
road environments, four-wheel-steering four-wheel-drive (4WS4WD) vehicles have attracted …

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 constraints on the states …

Developed is a robust model predictive control scheme for a class of discrete-time switched
linear systems. The system is described in linear fractional transformation form in the …

Wind and time delays are two major factors that affect the stability and control for an
unmanned stratospheric airship. A Robust Model Predictive Control (RMPC) approach is …

The classical theory of linear matrix inequality (LMI)-based linear quadratic regulator (LQR)
control that is well established in literature does not provide, in the controller project phase …

The paper addresses the problem of designing a robust output/state model predictive control
for linear polytopic systems with input constraints. The new predictive and control horizon …

This paper investigates the application of model predictive control technology based on
mixed ℋ2/ℋ∞ control approach for active suspension control of a railway vehicle, the aim …

The paper addresses the problem of designing a robust output/state model predictive control
for linear polytopic switched systems. We propose a new method for calculation of control …

This paper is concerned with the robust H∞ model predictive control problem for a class of
non-linear systems subject to state and input constraints and with norm bounded …