Author: Ali Khaki-Sedigh
Publisher: John Wiley & Sons
ISBN: 1394196407
Category : Science
Languages : en
Pages : 389
Book Description
An Introduction to Data-Driven Control Systems An introduction to the emerging dominant paradigm in control design Model-based approaches to control systems design have long dominated the control systems design methodologies. However, most models require substantial prior or assumed information regarding the plant’s structure and internal dynamics. The data-driven paradigm in control systems design, which has proliferated rapidly in recent decades, requires only observed input-output data from plants, making it more flexible and broadly applicable. An Introduction to Data-Driven Control Systems provides a foundational overview of data-driven control systems methodologies. It presents key concepts and theories in an accessible way, without the need for the complex mathematics typically associated with technical publications in the field, and raises the important issues involved in applying these approaches. The result is a highly readable introduction to what promises to become the dominant control systems design paradigm. Readers will also find: An overview of philosophical-historical issues accompanying the emergence of data-driven control systems Design analysis of several conventional data-driven control systems design methodologies Algorithms and simulation results, with numerous examples, to facilitate the implementation of methods An Introduction to Data-Driven Control Systems is ideal for students and researchers in control theory or any other research area related to plant design and production.
An Introduction to Data-Driven Control Systems
Author: Ali Khaki-Sedigh
Publisher: John Wiley & Sons
ISBN: 1394196407
Category : Science
Languages : en
Pages : 389
Book Description
An Introduction to Data-Driven Control Systems An introduction to the emerging dominant paradigm in control design Model-based approaches to control systems design have long dominated the control systems design methodologies. However, most models require substantial prior or assumed information regarding the plant’s structure and internal dynamics. The data-driven paradigm in control systems design, which has proliferated rapidly in recent decades, requires only observed input-output data from plants, making it more flexible and broadly applicable. An Introduction to Data-Driven Control Systems provides a foundational overview of data-driven control systems methodologies. It presents key concepts and theories in an accessible way, without the need for the complex mathematics typically associated with technical publications in the field, and raises the important issues involved in applying these approaches. The result is a highly readable introduction to what promises to become the dominant control systems design paradigm. Readers will also find: An overview of philosophical-historical issues accompanying the emergence of data-driven control systems Design analysis of several conventional data-driven control systems design methodologies Algorithms and simulation results, with numerous examples, to facilitate the implementation of methods An Introduction to Data-Driven Control Systems is ideal for students and researchers in control theory or any other research area related to plant design and production.
Publisher: John Wiley & Sons
ISBN: 1394196407
Category : Science
Languages : en
Pages : 389
Book Description
An Introduction to Data-Driven Control Systems An introduction to the emerging dominant paradigm in control design Model-based approaches to control systems design have long dominated the control systems design methodologies. However, most models require substantial prior or assumed information regarding the plant’s structure and internal dynamics. The data-driven paradigm in control systems design, which has proliferated rapidly in recent decades, requires only observed input-output data from plants, making it more flexible and broadly applicable. An Introduction to Data-Driven Control Systems provides a foundational overview of data-driven control systems methodologies. It presents key concepts and theories in an accessible way, without the need for the complex mathematics typically associated with technical publications in the field, and raises the important issues involved in applying these approaches. The result is a highly readable introduction to what promises to become the dominant control systems design paradigm. Readers will also find: An overview of philosophical-historical issues accompanying the emergence of data-driven control systems Design analysis of several conventional data-driven control systems design methodologies Algorithms and simulation results, with numerous examples, to facilitate the implementation of methods An Introduction to Data-Driven Control Systems is ideal for students and researchers in control theory or any other research area related to plant design and production.
2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)
Author: IEEE Staff
Publisher:
ISBN: 9781728159232
Category :
Languages : en
Pages :
Book Description
Data driven control and learning has been developed quickly both in theory and applications recently The deep involvement of information science in practical processes poses enormous challenges to the existing control science and engineering due to their size, distributed nature and complexity Modeling these processes accurately using first principles or identification is almost impossible although these plants produce huge amount of operation data in every moment The high tech hardware software and the cloud computing enable us to perform complex real time computation, which makes implementation of data driven control and method for these complex practical plants possible It would be very significant if we can learn the systems behaviors, discover the relationship of system variables by making full use of on line or off line process data, to directly design controller, predict and assess system states, make decisions, perform real time optimization and conduct fault diagnosis
Publisher:
ISBN: 9781728159232
Category :
Languages : en
Pages :
Book Description
Data driven control and learning has been developed quickly both in theory and applications recently The deep involvement of information science in practical processes poses enormous challenges to the existing control science and engineering due to their size, distributed nature and complexity Modeling these processes accurately using first principles or identification is almost impossible although these plants produce huge amount of operation data in every moment The high tech hardware software and the cloud computing enable us to perform complex real time computation, which makes implementation of data driven control and method for these complex practical plants possible It would be very significant if we can learn the systems behaviors, discover the relationship of system variables by making full use of on line or off line process data, to directly design controller, predict and assess system states, make decisions, perform real time optimization and conduct fault diagnosis
Proceedings of the 5th International Conference on Electrical Engineering and Control Applications–Volume 1
Author: Salim Ziani
Publisher: Springer Nature
ISBN: 9819700450
Category :
Languages : en
Pages : 614
Book Description
Publisher: Springer Nature
ISBN: 9819700450
Category :
Languages : en
Pages : 614
Book Description
Control, operation and trading strategies of intermittent renewable energy in smart grids
Author: Dongliang Xiao
Publisher: Frontiers Media SA
ISBN: 2832520936
Category : Technology & Engineering
Languages : en
Pages : 552
Book Description
Publisher: Frontiers Media SA
ISBN: 2832520936
Category : Technology & Engineering
Languages : en
Pages : 552
Book Description
Human-Like Decision Making and Control for Autonomous Driving
Author: Peng Hang
Publisher: CRC Press
ISBN: 1000625028
Category : Mathematics
Languages : en
Pages : 237
Book Description
This book details cutting-edge research into human-like driving technology, utilising game theory to better suit a human and machine hybrid driving environment. Covering feature identification and modelling of human driving behaviours, the book explains how to design an algorithm for decision making and control of autonomous vehicles in complex scenarios. Beginning with a review of current research in the field, the book uses this as a springboard from which to present a new theory of human-like driving framework for autonomous vehicles. Chapters cover system models of decision making and control, driving safety, riding comfort and travel efficiency. Throughout the book, game theory is applied to human-like decision making, enabling the autonomous vehicle and the human driver interaction to be modelled using noncooperative game theory approach. It also uses game theory to model collaborative decision making between connected autonomous vehicles. This framework enables human-like decision making and control of autonomous vehicles, which leads to safer and more efficient driving in complicated traffic scenarios. The book will be of interest to students and professionals alike, in the field of automotive engineering, computer engineering and control engineering.
Publisher: CRC Press
ISBN: 1000625028
Category : Mathematics
Languages : en
Pages : 237
Book Description
This book details cutting-edge research into human-like driving technology, utilising game theory to better suit a human and machine hybrid driving environment. Covering feature identification and modelling of human driving behaviours, the book explains how to design an algorithm for decision making and control of autonomous vehicles in complex scenarios. Beginning with a review of current research in the field, the book uses this as a springboard from which to present a new theory of human-like driving framework for autonomous vehicles. Chapters cover system models of decision making and control, driving safety, riding comfort and travel efficiency. Throughout the book, game theory is applied to human-like decision making, enabling the autonomous vehicle and the human driver interaction to be modelled using noncooperative game theory approach. It also uses game theory to model collaborative decision making between connected autonomous vehicles. This framework enables human-like decision making and control of autonomous vehicles, which leads to safer and more efficient driving in complicated traffic scenarios. The book will be of interest to students and professionals alike, in the field of automotive engineering, computer engineering and control engineering.
6GN for Future Wireless Networks
Author: Jingchao Li
Publisher: Springer Nature
ISBN: 3031534018
Category :
Languages : en
Pages : 438
Book Description
Publisher: Springer Nature
ISBN: 3031534018
Category :
Languages : en
Pages : 438
Book Description
Application of Communication Computational Intelligence and Learning
Author: Sangeeta Jadhav
Publisher: Taylor & Francis
ISBN: 1000781283
Category : Computers
Languages : en
Pages : 357
Book Description
The special issue is dedicated to National conference on Communication, computational intelligence and learning-NCCCIL sponsored by AICTE and organized by Department of Information Technology at Army Institute of Technology from 12–13 January 2022. This conference gave the collaborative forum to academic experts, researchers and corporate professionals to enrich their knowledge in the automation and analysis of industry and business processes in a smart way. The two day conference included invited talks and paper presentations focusing on the applications of Computational intelligence, Communication, Machine Learning and Artificial Intelligence.
Publisher: Taylor & Francis
ISBN: 1000781283
Category : Computers
Languages : en
Pages : 357
Book Description
The special issue is dedicated to National conference on Communication, computational intelligence and learning-NCCCIL sponsored by AICTE and organized by Department of Information Technology at Army Institute of Technology from 12–13 January 2022. This conference gave the collaborative forum to academic experts, researchers and corporate professionals to enrich their knowledge in the automation and analysis of industry and business processes in a smart way. The two day conference included invited talks and paper presentations focusing on the applications of Computational intelligence, Communication, Machine Learning and Artificial Intelligence.
Design and Modeling of Mechanical Systems - VI
Author: Mnaouar Chouchane
Publisher: Springer Nature
ISBN: 303167152X
Category :
Languages : en
Pages : 384
Book Description
Publisher: Springer Nature
ISBN: 303167152X
Category :
Languages : en
Pages : 384
Book Description
Intelligent Robotics and Applications
Author: Xin-Jun Liu
Publisher: Springer Nature
ISBN: 3030890953
Category : Computers
Languages : en
Pages : 834
Book Description
The 4-volume set LNAI 13013 – 13016 constitutes the proceedings of the 14th International Conference on Intelligent Robotics and Applications, ICIRA 2021, which took place in Yantai, China, during October 22-25, 2021. The 299 papers included in these proceedings were carefully reviewed and selected from 386 submissions. They were organized in topical sections as follows: Robotics dexterous manipulation; sensors, actuators, and controllers for soft and hybrid robots; cable-driven parallel robot; human-centered wearable robotics; hybrid system modeling and human-machine interface; robot manipulation skills learning; micro_nano materials, devices, and systems for biomedical applications; actuating, sensing, control, and instrumentation for ultra-precision engineering; human-robot collaboration; robotic machining; medical robot; machine intelligence for human motion analytics; human-robot interaction for service robots; novel mechanisms, robots and applications; space robot and on-orbit service; neural learning enhanced motion planning and control for human robot interaction; medical engineering.
Publisher: Springer Nature
ISBN: 3030890953
Category : Computers
Languages : en
Pages : 834
Book Description
The 4-volume set LNAI 13013 – 13016 constitutes the proceedings of the 14th International Conference on Intelligent Robotics and Applications, ICIRA 2021, which took place in Yantai, China, during October 22-25, 2021. The 299 papers included in these proceedings were carefully reviewed and selected from 386 submissions. They were organized in topical sections as follows: Robotics dexterous manipulation; sensors, actuators, and controllers for soft and hybrid robots; cable-driven parallel robot; human-centered wearable robotics; hybrid system modeling and human-machine interface; robot manipulation skills learning; micro_nano materials, devices, and systems for biomedical applications; actuating, sensing, control, and instrumentation for ultra-precision engineering; human-robot collaboration; robotic machining; medical robot; machine intelligence for human motion analytics; human-robot interaction for service robots; novel mechanisms, robots and applications; space robot and on-orbit service; neural learning enhanced motion planning and control for human robot interaction; medical engineering.
Advances in Intelligent Information Hiding and Multimedia Signal Processing
Author: Kazuhiro Kondo
Publisher: Springer Nature
ISBN: 9819901057
Category : Technology & Engineering
Languages : en
Pages : 425
Book Description
The book presents selected papers from the 18th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, held on December 16–18, 2022, in Kitakyushu, Japan. It is divided into two volumes and discusses latest research outcomes in the field of Information Technology (IT) including but not limited to information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial and internet of things, and their applications.
Publisher: Springer Nature
ISBN: 9819901057
Category : Technology & Engineering
Languages : en
Pages : 425
Book Description
The book presents selected papers from the 18th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, held on December 16–18, 2022, in Kitakyushu, Japan. It is divided into two volumes and discusses latest research outcomes in the field of Information Technology (IT) including but not limited to information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial and internet of things, and their applications.