This paper addresses the formation problem for multiple mobile robots with velocity
mismatch and system constraints by a distributed model predictive control (DMPC) strategy …

This study addresses the optimised tracking problem for motion control systems with multiple
disturbances by a non‐linear‐disturbance‐observer‐enhanced continuous‐time model …

This paper addresses a robust H∞ integral control scheme for a class of nonlinear uncertain
systems. Hence, disturbance rejection and set-point regulation are the main goals in the …

This paper addresses a new technique of constrained output feedback robust model
predictive control (RMPC) with anti-windup (AW) synthesis adopting linear parameter …

A model predictive method is developed to tune an integral controller for uncertain systems
subjected to constrained input signals. For this purpose, a stabilizing integral controller is …

The integral control is an effective way to track non-zero constant reference. In this paper, to
utilize a robust predictive integral control strategy in the output-feedback case, the control …

This paper develops a novel robust tracking predictive controller for continuous-time
nonlinear systems capable to deal with changing setpoints and unknown non-additive …

This paper describes a new generalized predictive control to track and stabilize a class of
discrete time switching system. The focus is specifically centered on classes of switching …

Nonlinear model predictive control (NMPC) scheme is an effective method of multi-objective
optimization control in complex industrial systems. In this paper, a NMPC scheme for the wet …

This article addresses the adaptive fuzzy finite‐time control problem for a class of switched
nonlinear systems whose powers are positive odd rational numbers and vary with the …