State-of-the-art in control engineering
Journal of Electrical Systems and Information Technology, 2014 AbstractThe paper deals with new trends in research, development and applications of advanced control methods and structures based on the principles of optimality, robustness and intelligence. Present trends in the complex process control design demand an increasing degree of integration of numerical mathematics, control engineering methods, new ...
S. Kozák
openaire +3 more sources
Morphology Under Control: Engineering Biodegradable Stomatocytes. [PDF]
ACS Macro Lett, 2017 Biodegradable nanoarchitectures, with well-defined morphological features, are of great importance for nanomedical research; however, understanding (and thereby engineering) their formation is a substantial challenge.
Pijpers IAB +3 more
europepmc +2 more sources
Synthetic biology and regulatory networks: where metabolic systems biology meets control engineering. [PDF]
J R Soc Interface, 2016 He F, Murabito E, Westerhoff HV.
europepmc +2 more sources
Data-Driven Models for Control Engineering Applications Using the Koopman Operator [PDF]
2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC), 2021 Within this work, we investigate how data-driven numerical approximation methods of the Koopman operator can be used in practical control engineering applications.
Annika Junker +2 more
semanticscholar +1 more source
Principles and applications of quantum control engineering. [PDF]
Philos Trans A Math Phys Eng Sci, 2012 Gough JE.
europepmc +4 more sources
Digital Twin Enabled Smart Control Engineering as an Industrial AI: A New Framework and Case Study [PDF]
2020 2nd International Conference on Industrial Artificial Intelligence (IAI), 2020 In Industry 4.0, the increasing complexity of industrial systems introduces unknown dynamics that affect the performance of manufacturing processes. Thus, Digital Twin appears as a breaking technology to develop virtual representations of any complex ...
J. Viola, YangQuan Chen
semanticscholar +1 more source
Machine learning and control engineering: The model-free case [PDF]
Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1, 2020 This paper states that Model-Free Control (MFC), which must not be confused with Model-Free Reinforcement Learning, is a new tool for Machine Learning (ML).
M. Fliess, C. Join
semanticscholar +1 more source
Lab-Tec@Home: A Cost-Effective Kit for Online Control Engineering Education
Electronics, 2022 It is widely recognized that a hands-on laboratory experience is useful in control engineering education. Herein, the students overcome the main gaps between theoretical knowledge and experimental setups.
D. Sotelo +6 more
semanticscholar +1 more source
Representation Engineering: A Top-Down Approach to AI Transparency [PDF]
arXiv.org, 2023 In this paper, we identify and characterize the emerging area of representation engineering (RepE), an approach to enhancing the transparency of AI systems that draws on insights from cognitive neuroscience.
Andy Zou +20 more
semanticscholar +1 more source
Review on model predictive control: an engineering perspective
The International Journal of Advanced Manufacturing Technology, 2021 Model-based predictive control (MPC) describes a set of advanced control methods, which make use of a process model to predict the future behavior of the controlled system.
M. Schwenzer, M. Ay, T. Bergs, D. Abel
semanticscholar +1 more source