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

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 …

This article presents a robust security‐based model predictive control (MPC) framework for a
class of discrete‐time nonlinear cyber‐physical systems (CPSs) suffering random deception …

An important area for future study on switched systems is the construction of model
predictive control for non-linear delayed switched systems with the Lipschitz structure. This …

This study presents a novel, eco-friendly method for removing methyldiethanolamine
(MDEA) from wastewater, addressing its environmental impact and elevated chemical …

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

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

This paper explores event-triggered model predictive control (MPC) for constrained switched
systems, incorporating a buffer-based anti-attack (BBAA) approach to ensure network …

This work addresses the problem of robust H∞ model predictive control for constrained
piecewise non-linear systems corrupted by norm-bounded disturbances for the first time. In …

The idea of model predictive control of nonlinear Lipschitz models based on discrete model
has been studied by several studies. The mainstream of these research need solving a sum …