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 …

Predictive controllers stand out as a realizable solution concerning disturbance rejection in
comparison to classical feedforward compensators. However, stability attributes are still …

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 …

Linear variable parameter systems (LPV) are a very special class of nonlinear systems,
which are suitable for controlling dynamic systems with parameter changes. Therefore, in …

In this paper, we propose a novel data-driven predictive control approach for systems
subject to time-domain constraints. The approach combines the strengths of H-infinity control …

In this paper, we discuss the mixed H 2/H∞ distributed robust model predictive control
problem for polytopic uncertain systems subject to randomly occurring actuator saturation …

In this paper, we investigate the mixed H 2/H∞ robust model predictive control (RMPC) for
polytopic uncertain systems, which refers to the infinite horizon optimal guaranteed cost …

This paper is concerned with robust model predictive control for positive systems. The
technique of model predictive control is extended to the context of positive systems. By using …

A robust model predictive control (RMPC) framework is proposed for nonlinear cyber-
physical systems (CPSs) with input saturation and energy-bounded disturbance in this …

The efficiency of an underground coal gasification (UCG) energy conversion process can be
increased by maintaining a desired heating value of the product gases. In literature this task …