Model predictive control: Recent developments and future promise
DQ Mayne - Automatica, 2014 - Elsevier
Model predictive control: Recent developments and future promise - ScienceDirect Skip to main
contentSkip to article Elsevier logo Journals & Books Search RegisterSign in View PDF …
contentSkip to article Elsevier logo Journals & Books Search RegisterSign in View PDF …
[HTML][HTML] Analysis and design of model predictive control frameworks for dynamic operation—An overview
This article provides an overview of model predictive control (MPC) frameworks for dynamic
operation of nonlinear constrained systems. Dynamic operation is often an integral part of …
operation of nonlinear constrained systems. Dynamic operation is often an integral part of …
Provably safe and robust learning-based model predictive control
Controller design faces a trade-off between robustness and performance, and the reliability
of linear controllers has caused many practitioners to focus on the former. However, there is …
of linear controllers has caused many practitioners to focus on the former. However, there is …
MPC for tracking piecewise constant references for constrained linear systems
In this paper, a novel model predictive control (MPC) for constrained (non-square) linear
systems to track piecewise constant references is presented. This controller ensures …
systems to track piecewise constant references is presented. This controller ensures …
Robust tube-based MPC for tracking of constrained linear systems with additive disturbances
This paper is devoted to solve the problem that the predictive controllers may present when
the target operation point changes. Model predictive controllers (MPC) are capable to steer …
the target operation point changes. Model predictive controllers (MPC) are capable to steer …
Nonlinear MPC for tracking piece-wise constant reference signals
This paper presents a novel tracking predictive controller for constrained nonlinear systems
capable to deal with sudden and large variations of a piece-wise constant setpoint signal …
capable to deal with sudden and large variations of a piece-wise constant setpoint signal …
MPC for tracking with optimal closed-loop performance
In this paper, a novel model predictive control (MPC) formulation has been proposed to
solve tracking problems, considering a generalized offset cost function. Sufficient conditions …
solve tracking problems, considering a generalized offset cost function. Sufficient conditions …
Nonlinear model predictive control for path following problems
This paper presents a general nonlinear model predictive control scheme for path following
problems. Path following problem of nonlinear systems is transformed into a parameter …
problems. Path following problem of nonlinear systems is transformed into a parameter …
A review of industrial tracking control algorithms
Advanced manufacturing is characterised by machines that move an end effector through a
given trajectory to perform operations such as cutting, grinding and printing. In many …
given trajectory to perform operations such as cutting, grinding and printing. In many …
Offset‐free receding horizon control of constrained linear systems
The design of a dynamic state feedback receding horizon controller is addressed, which
guarantees robust constraint satisfaction, robust stability and offset‐free control of …
guarantees robust constraint satisfaction, robust stability and offset‐free control of …