This study investigates the problem of robust model predictive control (RMPC) for active
suspension systems with time-varying delays and input constraints. The uncertainty is of …

Accurate trajectory tracking is a paramount objective when a mobile robot must perform
complicated tasks. In high-speed movements, hardware-induced delays may produce …

The paper presents the strategies involved in making a stand-alone cascade control system
as an Internet enabled one without advent of a dedicated instrument server. The cascaded …

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

This paper proposes a novel economic requirements-oriented online tuning strategy for
MPC, the design of which encompasses the well-known operational particularities of oil …

Tuning the parameters of the Model Predictive Control (MPC) of an industrial Crude
Distillation Unit (CDU) is considered here. A realistic scenario is depicted where the inputs …

This paper addresses a non-fragile robust model predictive control design for a class of
continuous-time uncertain systems with multiple state-delay and constrained control signals …

This paper proposes the robust model predictive control of positive time-delay systems with
interval and polytopic uncertainties, respectively. The model predictive control framework …

In this article, we study the optimal control of systems subject to input-varying hydraulic
delays, ie, systems where the delay on the input depends on the past values of the input …

Abstract Robust Model Predictive Control (RMPC) is related to a variety of methods
designed to guarantee control performance using optimization algorithms while considering …