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Kontor:
D3025 ( Jon Lilletuns vei 9, Grimstad )

Jing Zhou er professor i mekatronikk,  forskningsdirektør av Toppforskingssenteret i Mekatronikk, og leder for gruppen robotikk og automasjon ved Universititet i Agder. Hun har en Ph.D. (2006) i teknisk kybernetikk ved Nanyang Technological University, Singapore.

Hun har tidligere jobbet som seniorforsker i International Research Institute of Stavanger (NORCE) og Postdoc. i Norges teknisk-naturvitenskapelige universitet (NTNU).

Hennes forskning er innen modellering, simulering og kontroll av mekaniske systemer med anvendelser innen automatisert produksjon, robotteknikk, offshore mekatronikk, boring og brønnteknologi,  og undervannsteknologi.

Medlemskap

  • Medlem av Norges Tekniske Vitenskapsakademi  (NTVA)
  • Medlem av Agder Vitenskapsakademi
  • Senior Medlem av IEEE
  • Medlem av IEEE Ccontrol Systems Society (CSS), IEEE Industrial Electronics Society (IES), IEEE Systems, Man, and Cybernetics Society (SMC)

Editorship

  • Associate Editor, IEEE Transactions on Cybernetics
  • Associate Editor, Systems & Control Letters, ELSEVIER
  • Associate Editor, IEEE CSS Conference Editorial Board
  • IEEE CSS Technical Committee on Nonlinear Systems and Control
  • IEEE CSS Technical Committee on System Identification and Adaptive Control

Professional Services

  • General Chair, 15th IEEE International Conference on Industry Electronics and Applications (ICIEA), Kristiansand, Norway, Nov 9-13, 2020
  • Technical Program Chair, 10th International Conference on Information Science and Technology (ICIST), UK, Sep. 9-13, 2020
  • Special Session Chair, 46th Annual Conference of the IEEE Industrial Electronics Society (IECON), Singapore, Oct 18-21, 2020
  • Technical Program Co-Chair of International Conference on Advanced Mechatronic Systems (ICAMechS), 2017
  • Invited Session Chair of ICIEA 2013
  • Member of Technical Program Committee of ACC, IFAC Workshops, IEEE ICIEA, ICICIP, CCDC, etc.

Forskning

Research Interests

  • Robotics and automation
  • Modeling, simulation and control of offshore mechatronics systems, crane, marine vessel, and industry robot
  • Control theory: adaptive control,  nonlinear systems, multi-agent systems, industry network systems, time-delayed systems, non-smooth nonlinearities (hysteresis, backlash, dead-zone, quantization, saturation)
  • Drilling and well technology: MPD, pressure control, well control, kick/loss detection
  • Reinforcement learning control

Books

[B1] J. Zhou and C. Wen, Adaptive Backstepping Control of Uncertain Systems: Nonsmooth Nonlinearities, Interactions or Time-Variations, Springer, 2008

[B2] W. Wang, C. Wen, J. Zhou, Adaptive Backstepping Control of Uncertain Systems with Actuator Failures, Subsystem Interactions, and Nonsmooth Nonlinearities, CRC Press, Taylor and Francis, 2017

Undervisning

  • MAS239 Reguleringsteknikk 1, Bachelorprogram (2021 - )
  • MAS107 Reguleringsteknikk 1, Bachelorprogram (2017 - 2020 )
  • MAS408 Analog og Digital Elektroteknikk, Mekatronikk, Masterprogram (2016 - )

Prosjekter

Selected Projetcs

  • RCN Researcher Project, "Collective Efficient Deep Learning and Networked Control for Multiple Collaborative Robot Systems (DEEPCOBOT)", funded by Research Council of Norway, 2020-2025, Budget: NOK 16 million from RCN (Toral: NOK 20 million). Roles: Project Manager and Principle Investigator. https://deepcobot.uia.no/
  • RCN INTPART project, "Indo-Norwegian collaboration in Intelligent Offshore Mechatronics Systems (INMOST)", funded by Research Council of Norway, 2020-2023, Budget: NOK 4.5 million from RCN (Toral: NOK 5.6 million). Roles: Project Manager and PI. https://inmost.uia.no/
  • SFI Offshore Mechatronics, WP3 Robotics and Autonomy and WP6 Data Analytics, IT Integration and Big Data, funded by Research Council of Norway, 2017-2023. Role: Key Scientist. https://sfi.mechatronics.no/
  • RCN IKTPLUSS Researcher Project, "Data-driven cyber-physical networked systems for autonomous cognitive control and adaptive learning in industrial and urban water environments (INDURB)", funded by Research Council of Norway, 2018-2023, Role: PI. https://wisenet.uia.no/
  • Research project,"Cooperation control of industrial networked systems", funded by UiA, 2019-2022
  • RCN STUD‐ENT FORNY project, "Drop-Tech", funded by Research Council of Norway, 2018, Role: Academic Supervisor. https://gcenode.no/news/students-receive-1-million-for-research/
  • RFF Agder Researcher Project, "Development of next generation of surface effect ship for offshore service operations", funded by the Reginal Research foundation of Agder and ESNA AS, 2016-2018
  • SFI Drillwell, Program 1 - Safe and efficient drilling process, funded by Research Council of Norway, 2013-2016
  • Industry Research Project, "Automated Well Control Systems (AWCS)", funded by Statoil, 2011-2014
  • RCN Petromaks Research Project, "MaxWells- Wells for Maximum Value Creation", funded by Research Council of Norway, 2008-2012
  • RCN Researcher Project, "Automatic Managed Pressure Drilling Control", funded by Research Council of Norway, 2007-2009

Vitenskapelige publikasjoner

  • Zhou, Jing (2020). 15th IEEE Conference on Industrial Electronics and Applications. ISBN: 978-1-7281-5168-7. Institute of Electrical and Electronics Engineers (IEEE). s 200.
  • Wang, Wei; Wen, Changyun; Zhou, Jing (2017). Adaptive Backstepping Control of Uncertain Systems with Actuator Failures, Subsystem Interactions, and Nonsmooth Nonlinearities. ISBN: 9781498776431. CRC Press. s 274.
  • Zhou, Jing; Wen, Changyun (2011). Backstepping Control, in Industrial Electronics Handbook: Control and Mechatronics. ISBN: 9781439802892. Tayler & Francis. s 22.
  • Zhou, Jing; Nygaard, Olav Gerhard Haukenes (2011). Decentralized Adaptive Sabilization for Large-Scale Systems with Unknown Time-Delay. ISBN: 978-953-307-559-4. IntechOpen. s 16.
  • Zhou, Jing; Wen, C (2008). Adaptive Backstepping Control of Uncertain Systems: Nonsmooth Nonlinearities, Interactions or Time-Variations. ISBN: 978-3-540-77806-6. Springer. s 241.
  • Zhou, Jing (2020). Adaptive Control of Systems with Quantization.
  • Schlanbusch, Siri Marte; Zhou, Jing (2020). Adaptive Backstepping Control in the Presence of Quantization: Application to a 2-DOF Helicopter System.

Sist endret: 8.04.2021 09:04