[HTML][HTML] Robot learning towards smart robotic manufacturing: A review
Robotic equipment has been playing a central role since the proposal of smart
manufacturing. Since the beginning of the first integration of industrial robots into production …
manufacturing. Since the beginning of the first integration of industrial robots into production …
All you need to know about model predictive control for buildings
It has been proven that advanced building control, like model predictive control (MPC), can
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …
A review on reinforcement learning: Introduction and applications in industrial process control
In recent years, reinforcement learning (RL) has attracted significant attention from both
industry and academia due to its success in solving some complex problems. This paper …
industry and academia due to its success in solving some complex problems. This paper …
Data-driven model predictive control with stability and robustness guarantees
We propose a robust data-driven model predictive control (MPC) scheme to control linear
time-invariant systems. The scheme uses an implicit model description based on behavioral …
time-invariant systems. The scheme uses an implicit model description based on behavioral …
Benchmarking model-based reinforcement learning
Model-based reinforcement learning (MBRL) is widely seen as having the potential to be
significantly more sample efficient than model-free RL. However, research in model-based …
significantly more sample efficient than model-free RL. However, research in model-based …
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
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 …
[LIVRE][B] Model predictive control of microgrids
C Bordons, F Garcia-Torres, MA Ridao - 2020 - Springer
Control of microgrids is evolving considerably over the past few years. Microgrids, which are
small-scale power systems with a cluster of loads, distributed generators, and storage units …
small-scale power systems with a cluster of loads, distributed generators, and storage units …
Deep reinforcement learning based control for Autonomous Vehicles in CARLA
Abstract Nowadays, Artificial Intelligence (AI) is growing by leaps and bounds in almost all
fields of technology, and Autonomous Vehicles (AV) research is one more of them. This …
fields of technology, and Autonomous Vehicles (AV) research is one more of them. This …
Reference and command governors for systems with constraints: A survey on theory and applications
Reference and command governors are add-on control schemes which enforce state and
control constraints on pre-stabilized systems by modifying, whenever necessary, the …
control constraints on pre-stabilized systems by modifying, whenever necessary, the …