Model predictive control: Recent developments and future promise
DQ Mayne - Automatica, 2014 - Elsevier
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Model predictive control in aerospace systems: Current state and opportunities
CONTROLLER design is more troublesome in aerospace systems due to, inter alia, diversity
of mission platforms, convoluted nonlinear dynamics, predominantly strict mission and …
of mission platforms, convoluted nonlinear dynamics, predominantly strict mission and …
MPC-based motion planning and control enables smarter and safer autonomous marine vehicles: Perspectives and a tutorial survey
Autonomous marine vehicles (AMVs) have received considerable attention in the past few
decades, mainly because they play essential roles in broad marine applications such as …
decades, mainly because they play essential roles in broad marine applications such as …
[BUCH][B] Nonlinear model predictive control
In this chapter, we introduce the nonlinear model predictive control algorithm in a rigorous
way. We start by defining a basic NMPC algorithm for constant reference and continue by …
way. We start by defining a basic NMPC algorithm for constant reference and continue by …
[BUCH][B] Predictive control for linear and hybrid systems
Model Predictive Control (MPC), the dominant advanced control approach in industry over
the past twenty-five years, is presented comprehensively in this unique book. With a simple …
the past twenty-five years, is presented comprehensively in this unique book. With a simple …
Integrating machine learning and model predictive control for automotive applications: A review and future directions
In this review paper, the integration of Machine Learning (ML) and Model Predictive Control
(MPC) in Automotive Control System (ACS) applications are discussed. ACS can be divided …
(MPC) in Automotive Control System (ACS) applications are discussed. ACS can be divided …
Fast model predictive control using online optimization
Y Wang, S Boyd - IEEE Transactions on control systems …, 2009 - ieeexplore.ieee.org
A widely recognized shortcoming of model predictive control (MPC) is that it can usually only
be used in applications with slow dynamics, where the sample time is measured in seconds …
be used in applications with slow dynamics, where the sample time is measured in seconds …
[HTML][HTML] Optimization algorithms as robust feedback controllers
Mathematical optimization is one of the cornerstones of modern engineering research and
practice. Yet, throughout all application domains, mathematical optimization is, for the most …
practice. Yet, throughout all application domains, mathematical optimization is, for the most …
A survey on explicit model predictive control
A Alessio, A Bemporad - Nonlinear Model Predictive Control: Towards …, 2009 - Springer
Explicit model predictive control (MPC) addresses the problem of removing one of the main
drawbacks of MPC, namely the need to solve a mathematical program on line to compute …
drawbacks of MPC, namely the need to solve a mathematical program on line to compute …
Model predictive control: Review of the three decades of development
JH Lee - International Journal of Control, Automation and …, 2011 - Springer
Three decades have passed since milestone publications by several industrialists spawned
a flurry of research and industrial/commercial activities on model predictive control (MPC) …
a flurry of research and industrial/commercial activities on model predictive control (MPC) …