A novel robust hierarchical multi-loop composite control scheme is proposed for the
trajectory tracking control of robotic manipulators subject to constraints and disturbances …

This paper aims to utilize the modern control theory in designing an active flutter
suppression controller for a two-dimensional wing with a flap. In this study, the wing's pitch …

To address the control challenges of an aerial manipulator arm (AMA) mounted on a drone
under conditions of model inaccuracy and strong disturbances, this paper proposes a …

This paper is devoted to the issue of computationally efficient and robust nonlinear model
predictive control (NMPC) for ship dynamic positioning (DP) systems subjected to input …

In this paper, a discrete-time model predictive controller using Laguerre orthonormal
function-based (LMPC) for active flutter suppression of a two-dimensional wing with a flap is …

Predictive position control (PPC) method with long predictive horizon is an effective method
to eliminate the cascade structure and improve the dynamic response for the permanent …

This paper proposes a stochastic model predictive control using the Laguerre function with
optimal Kalman filter state estimation. The controller design uses an ARMAX state-space …

This paper presents the mathematical formalism, design and evaluation of a minimum order
unrestricted horizon predictive control (UHPC) predictive applied to nonlinear chemical …

The leading contribution of this article is to describe the analysis of the sampling period in
deterministic and stochastic pole-assignment-based digital controllers, by proposing an …

This paper proposes Laguerre function-based quasi-infinite horizon nonlinear model
predictive control (QIH-NMPC) in order to solve the trio control problems of strong …