Model predictive control of microgrids–An overview
The development of microgrids is an advantageous option for integrating rapidly growing
renewable energies. However, the stochastic nature of renewable energies and variable …
renewable energies. However, the stochastic nature of renewable energies and variable …
Stochastic model predictive control: An overview and perspectives for future research
A Mesbah - IEEE Control Systems Magazine, 2016 - ieeexplore.ieee.org
Model predictive control (MPC) has demonstrated exceptional success for the high-
performance control of complex systems. The conceptual simplicity of MPC as well as its …
performance control of complex systems. The conceptual simplicity of MPC as well as its …
Model predictive control: Recent developments and future promise
DQ Mayne - Automatica, 2014 - Elsevier
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Distributed model predictive control for heterogeneous vehicle platoons under unidirectional topologies
This paper presents a distributed model predictive control (DMPC) algorithm for
heterogeneous vehicle platoons with unidirectional topologies and a priori unknown desired …
heterogeneous vehicle platoons with unidirectional topologies and a priori unknown desired …
Reinforcement learning–overview of recent progress and implications for process control
This paper provides an introduction to Reinforcement Learning (RL) technology,
summarizes recent developments in this area, and discusses their potential implications for …
summarizes recent developments in this area, and discusses their potential implications for …
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 …
Efficient representation and approximation of model predictive control laws via deep learning
We show that artificial neural networks with rectifier units as activation functions can exactly
represent the piecewise affine function that results from the formulation of model predictive …
represent the piecewise affine function that results from the formulation of model predictive …
[HTML][HTML] Approximate model predictive building control via machine learning
Many studies have proven that the building sector can significantly benefit from replacing the
current practice rule-based controllers (RBC) by more advanced control strategies like …
current practice rule-based controllers (RBC) by more advanced control strategies like …
MPC-based motion planning and control enables smarter and safer autonomous marine vehicles: Perspectives and a tutorial survey
H Wei, Y Shi - IEEE/CAA Journal of Automatica Sinica, 2022 - ieeexplore.ieee.org
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 …
Approximating explicit model predictive control using constrained neural networks
S Chen, K Saulnier, N Atanasov, DD Lee… - 2018 Annual …, 2018 - ieeexplore.ieee.org
This paper presents a method to compute an approximate explicit model predictive control
(MPC) law using neural networks. The optimal MPC control law for constrained linear …
(MPC) law using neural networks. The optimal MPC control law for constrained linear …