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Autonomous Underwater Vehicles: Localization, Tracking, and Formation de Jing Yan

Autonomous Underwater Vehicles: Localization, Tracking, and Formation: Cognitive Intelligence and Robotics

Autor Jing Yan, Xian Yang, Haiyan Zhao, Xiaoyuan Luo, Xinping Guan
en Limba Engleză Paperback – 3 noi 2022

Pe linia practică a lucrării Advanced Model Predictive Control for Autonomous Marine Vehicles, dar cu un focus specific pe coordonarea multi-agent și constrângerile severe de comunicare acustică, volumul de față reprezintă o resursă tehnică de prim rang pentru ingineria subacvatică modernă. Notăm cu interes modul în care autorii abordează tranziția de la un singur vehicul la sisteme complexe de tip formație, o necesitate impusă de piața în expansiune a explorării oceanice.

Putem afirma că lucrarea se distinge prin rigoarea matematică aplicată unor probleme fizice concrete, precum localizarea în absența senzorilor de viteză. Merită menționat că structura cărții urmărește o progresie logică: începe cu modelarea dinamică a Autonomous Underwater Vehicles, analizează caracteristicile comunicării slabe și avansează către soluții de localizare persistentă și urmărire a traiectoriei în condiții de perturbații ale stării. Fiecare capitol teoretic este susținut de simulări numerice, oferind o validare indispensabilă pentru implementările de tip hardware-in-the-loop.

În contextul operei autorilor, acest titlu rafinează conceptele explorate anterior în Localization in Underwater Sensor Networks, trecând de la simpla monitorizare a rețelelor de senzori la controlul activ și navigația autonomă. Spre deosebire de Stabilization, Tracking and Formation Control of Autonomous Marine Vessels, care tratează ambarcațiunile de suprafață, volumul de față se concentrează strict pe mediul submersibil, unde incertitudinea modelului și zgomotul de măsură sunt semnificativ mai critice. Este o contribuție substanțială la teoria sistemelor neliniare și a roboticii marine, oferind un cadru algoritmic solid pentru misiuni de explorare de lungă durată.

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Specificații

ISBN-13: 9789811660986
ISBN-10: 9811660980
Pagini: 211
Ilustrații: XV, 211 p. 93 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.33 kg
Ediția:1st ed. 2021
Editura: Springer Nature Singapore
Colecția Springer
Seria Cognitive Intelligence and Robotics

Locul publicării:Singapore, Singapore

De ce să citești această carte

Această carte este esențială pentru inginerii de control și cercetătorii care dezvoltă sisteme autonome pentru medii extreme. Cititorul câștigă acces la algoritmi avansați de localizare și formare care funcționează în condiții de comunicare acustică limitată. Este un ghid practic pentru proiectarea viitoarelor scheme de navigație subacvatică, oferind soluții concrete pentru depășirea barierelor tehnice ale oceanografiei robotizate.

Despre autor

Echipa de autori, formată din experți precum Jing Yan și Xinping Guan, deține o experiență vastă în domeniul sistemelor de control și al roboticii cognitive. Jing Yan s-a remarcat anterior prin studii aprofundate asupra rețelelor de senzori subacvatici, publicând lucrări de referință despre localizarea în medii marine. Expertiza lor colectivă acoperă intersecția dintre teoria sistemelor neliniare și comunicațiile acustice, fiind afiliați unor instituții de prestigiu care colaborează la dezvoltarea tehnologiilor pentru seria Cognitive Intelligence and Robotics.

Cuprins

Chapter 1 Introduction.- Chapter 2 Persistent Localization of Autonomous Underwater Vehicles without Velocity Measurements.- Chapter 3 Joint Localization and Tracking of Autonomous Underwater Vehicle with State Disturbances.- Chapter 4 Joint Localization and Tracking of Autonomous Underwater Vehicle with Model Uncertainty.- Chapter 5 Tracking Control of Autonomous Underwater Vehicle with time Delay and Actuator Saturation.- Chapter 6 Finite-Time Tracking Control of Autonomous Underwater Vehicle without Velocity Measurements.- Chapter 7 Formation Control of Autonomous Underwater Vehicles with Communication Delay.

Notă biografică

Jing Yan received the B.Eng. degree in Automation from Henan University, Kaifeng, China, in 2008, and the Ph.D. degree in Control Theory and Control Engineering from Yanshan University, Qinhuangdao, China, in 2014. In 2014, he was Research Assistant with the Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai Jiaotong University, Shanghai, China. From January 2016 to September 2016, he was Postdoc with University of North Texas, Denton, USA. From October 2016 to January 2017, he was Research Associate with University of Texas at Arlington, Arlington, USA. Currently, he is Associate Professor with Yanshan University, Qinhuangdao, China. Meanwhile, he is also Associate Editor for IEEE Access. His research interests cover in underwater acoustic sensor networks, networked teleoperation systems, and cyber-physical systems. He has published more than 80 peer-reviewed papers in leading academic journals and conferences. He has also received numerous awards, including the Excellence Paper Award from the National Doctoral Academic Forum of System Control and Information Processing in 2012, the Outstanding Doctorate Dissertation of Hebei Province in 2015, the Excellence Paper Award from the National Doctoral Academic Forum of System Control and Information Processing in 2012, the Youth Talent Support Program of Hebei Province in 2019, the Outstanding Young Foundation of Hebei Province in 2020, and the Excellence Adviser from Oceanology International Underwater Robot Competition in 2017.

Xian Yang received the B.S. degree in Automation and the Ph.D. degree in the Control Theory and Control Engineering from Yanshan University, Qinhuangdao, China, in 2010 and 2016, respectively. She was Academic Visitor of Imperial College London, UK, from June 2019 to June 2020. She is currently Associate Professor with Yanshan University. Her research interests include networked teleoperation systems, underwater autonomoussystems, and nonlinear control. She has authored over 30 referred international journal and conference papers. Some of these papers were selected as Highly Cited Papers of ESI. Besides, she has published an English monograph. She was selected into the Youth Talent Support Program of Hebei Province in 2020.

Haiyan Zhao received the B.S. degree in Automation from Yanshan University, in 2017. Currently, she is pursuing the Ph.D. degree in Control Theory and Control Engineering at Yanshan University, Qinhuangdao, China. Her research interests cover in underwater acoustic sensor networks and autonomous underwater vehicle. She won the national scholarship in 2019 and presided over Postgraduate Innovation Fund Project of Hebei in 2019.

Xiaoyuan Luo received the M.Eng. degree and the Ph.D. degree from the Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China, in 2001 and 2004, respectively. He is currently Professor with Yanshan University. His research interests include intelligent transportation control systems, cyber-security for cyber-physical systems, and multi-agent and networked control systems. He has received Excellence Advisor from the Oceanology International Underwater Robot Competition in 2017.

Xinping Guan received the B.S. degree in applied mathematics from Harbin Normal University, Harbin, China, in 1986, and the M.S. degree in applied mathematics, and the Ph.D. degree in electrical engineering from the Harbin Institute of Technology, Harbin, in 1991 and 1999, respectively. He is currently Chair Professor with Shanghai Jiao Tong University, Shanghai, China. He has authored and/or co-authored four research monographs, more than 270 papers in IEEE and other peer-reviewed journals, and numerous conference papers. His current research interests include industrial cyber-physical systems, wireless networking and applications in smart city and smart factory, and underwater sensornetworks. He was a recipient of the National Outstanding Youth Honoured by the NSF of China, the Changjiang Scholar by the Ministry of Education of China, and the State-Level Scholar of New Century Bai Qianwan Talent Program of China. He is Executive Committee Member of the Chinese Automation Association Council and the Chinese Artificial Intelligence Association Council.

Textul de pe ultima copertă

Autonomous underwater vehicles (AUVs) are emerging as a promising solution to help us explore and understand the ocean. The global market for AUVs is predicted to grow from 638 million dollars in 2020 to 1,638 million dollars by 2025 – a compound annual growth rate of 20.8 percent. To make AUVs suitable for a wider range of application-specific missions, it is necessary to deploy multiple AUVs to cooperatively perform the localization, tracking and formation tasks. However, weak underwater acoustic communication and the model uncertainty of AUVs make achieving this challenging. 
This book presents cutting-edge results regarding localization, tracking and formation for AUVs, highlighting the latest research on commonly encountered AUV systems. It also showcases several joint localization and tracking solutions for AUVs. Lastly, it discusses future research directions and provides guidance on the design of future localization, tracking and formation schemes for AUVs. 
Representing a substantial contribution to nonlinear system theory, robotic control theory, and underwater acoustic communication system, this book will appeal to university researchers, scientists, engineers, and graduate students in control theory and control engineering who wish to learn about the core principles, methods, algorithms, and applications of AUVs. Moreover, the practical localization, tracking and formation schemes presented provide guidance on exploring the ocean. The book is intended for those with an understanding of nonlinear system theory, robotic control theory, and underwater acoustic communication systems.

Caracteristici

Provides detailed instructions for the localization, tracking, and formation of autonomous underwater vehicles Offers solutions for problems related to autonomous underwater vehicles’ communication Shares numerous insights into the design of integrated autonomous underwater vehicle systems