Autonomous, context-aware, adaptive Digital Twins—State of the art and roadmap
Digital Twins are an important concept in the comprehensive digital representation of
manufacturing assets, products, and other resources, comprising their design and …
manufacturing assets, products, and other resources, comprising their design and …
Deep reinforcement learning for autonomous internet of things: Model, applications and challenges
The Internet of Things (IoT) extends the Internet connectivity into billions of IoT devices
around the world, where the IoT devices collect and share information to reflect status of the …
around the world, where the IoT devices collect and share information to reflect status of the …
Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems
Airborne wind energy systems convert wind energy into electricity using tethered flying
devices, typically flexible kites or aircraft. Replacing the tower and foundation of …
devices, typically flexible kites or aircraft. Replacing the tower and foundation of …
Learning-based control: A tutorial and some recent results
This monograph presents a new framework for learning-based control synthesis of
continuous-time dynamical systems with unknown dynamics. The new design paradigm …
continuous-time dynamical systems with unknown dynamics. The new design paradigm …
On the control of multi-agent systems: A survey
F Chen, W Ren - Foundations and Trends® in Systems and …, 2019 - nowpublishers.com
Recent years have witnessed a trend to use networked multiple autonomous agents to
accomplish complex tasks arising from space-based applications, smart grids, and machine …
accomplish complex tasks arising from space-based applications, smart grids, and machine …
Autonomous airborne wind energy systems: accomplishments and challenges
L Fagiano, M Quack, F Bauer, L Carnel… - Annual Review of …, 2022 - annualreviews.org
Airborne wind energy (AWE) is a fascinating technology to convert wind power into
electricity with an autonomous tethered aircraft. Deemed a potentially game-changing …
electricity with an autonomous tethered aircraft. Deemed a potentially game-changing …
Status of research and development of learning-based approaches in nuclear science and engineering: A review
Nuclear technology industries have increased their interest in using data-driven methods to
improve safety, reliability, and availability of assets. To do so, it is important to understand …
improve safety, reliability, and availability of assets. To do so, it is important to understand …
Hybrid system modeling and autonomous control systems
Hybrid control systems contain two distinct types of systems, continuous state and discrete-
state, that interact with each other. Their study is essential in designing sequential …
state, that interact with each other. Their study is essential in designing sequential …
[PDF][PDF] Neural networks for control systems
PJ Antsaklis - IEEE Transactions on Neural Networks, 1990 - nd.edu
Background Neural networks have the potential for very complicated behavior. They consist
of many interconnected simple nonlinear systems, which are typically modeled by sigmoid …
of many interconnected simple nonlinear systems, which are typically modeled by sigmoid …
Development and assessment of a nearly autonomous management and control system for advanced reactors
This paper develops a Nearly Autonomous Management and Control (NAMAC) system for
advanced reactors. The development process of NAMAC is characterized by a three layer …
advanced reactors. The development process of NAMAC is characterized by a three layer …