CCTA 2019 is pleased to offer workshops on topics in control technology and applications. These tutorials are proposed, organized and delivered by international experts. Information on the workshops is given below; for additional information, contact the Workshop and Tutorial Co-Chairs:
Ben M. Chen (bmchen@cuhk.edu.hk)
Hideaki Ishii (ishii@c.titech.ac.jp)

Information about registration is available here.

Notification:

• Workshop attendance requires a separate registration payment. Each workshop has the same fee (early registration by July 1 2019, US$130; after July 1, US$180).
• Participants from W1  can  join either W2/ W3 in the afternoon session.
• The workshop will be cancelled if the registration number of participants of that workshop is insufficient. Participants will be invited to join other workshop or to have a refund.

W1:Advanced Control and Optimization for Cyber-Physical Energy Systems
(Sunday 18 August, 09:00-12:00, Room:LT-17, Yeung Building)

Organizer: Tao Yang, University of North Texas
Organizer: Na Li, Havard University

Abstract: The power network undergoes a transition from a system with conventional generation power plants and inflexible loads to a system with a large number of distributed generations, renewable generations, energy storages, and flexible loads. This trend has imposed very significant challenges on the corresponding control design to achieve efficient operation and effective protection of the power grid.

First of all, centralized control strategies may become intractable for large-scale power systems, and is subject to technical issues such as poor scalability and low reliability. To overcome these limitations, it is desirable to develop distributed control strategies. Second, in a power network with a high penetration of DERs such as wind generators and solar panels, there is high uncertainty of power generation. Thus, the uncertain and unpredictable features of DERs need to be taken into account to design a control strategy. In addition, the communication network in the distribution network is still under-deployed and has limited capabilities. Thus, the design of control strategies must take communication imperfections, such as time-delays, packet-drop, and limited bandwidth, into consideration. Last but not the least, the geographical distribution of system components and the use of information and communication technologies have exposed the power network to new security risks because they are inherently vulnerable to cyber-physical attacks. Thus, it is important to design attack-resilient control strategy to achieve effective system protection against malicious threats.

The goal of this workshop is to bring together leading researchers to share their technical and scientific findings and visions, and new advanced control and optimization strategies with application to cyber-physical energy systems. It is designed to be accessible to a broad control audience, and will be particularly useful for graduate students and researchers interested in this area.

Speakers (tentative):
Karl H. Johansson, KTH Royal Institute of Technology
Title: Control of HVDC Transmission Systems
Time: 09:05 – 09:30

Zhihua Qu, University of Central Florida
Title: Distributed Controls for Self-Organizing Distribution Networks
Time: 09:30 – 09:55

Tao Liu, The University of Hong Kong
Title: Power Network Control: A Graph-based Approach
Time: 09:55 – 10:20

Takeshi Hatanaka, Osaka University
Title: Cyber-Physical Building Energy Management and Development of Campus EMS Simulator
Time: 10:35 – 11:00

Jianming Lian, Pacific Northwest National Laboratory
Title: Demystifying Transactive Energy System: Glossary, Principle & Application
Time: 11:00 – 11:25

Guoqiang Hu, Nanyang Technological University
Title: Distributed Optimization for Multi-Agent Systems and Its Applications to Energy Consumption Control
Time: 11:25 – 11:50

W2:Data-Driven and Machine Learning Enabled Control
(Sunday 18 August, 09:00-17:00, has been rescheduled to 13:30-17:00, Room:LT-16 LT-18, Yeung Building)

Organizer: Ye Yuan, Huazhong University of Science and Technology
Organizer: Zhongsheng Hou, Qingdao University
Organizer: Fumin Zhang, Georgia Institute of Technology

Abstract: The goal for this workshop is to present recent advancement of control approaches in the context of Data-Driven and Machine Learning enabled Control. This invited session is motivated by the rapidly growing number of research and applications of machine learning and data driven control methods. These approaches have proven to be effective in controlling highly complex and nonlinear systems in various applications. Considering the development of this field, we aim to report recent research achievements, and identify relevant challenges at the same time.

This workshop will target a group of audience consisting of control theorists, machine learning researchers, and computer scientists alike. Through these sessions, we have invited researchers from different backgrounds to discuss recent advancements in addressing related problems. Considering the cross participation of researchers with different expertise, we hope this workshop can be helpful for the audience to gain inspirations from colleagues, hence further their own quests and form new ideas. 

Speakers (tentative):
Ye Yuan, Huazhong University of Science and Technology
Title: Data-driven discovery of cyber physical systems
Time: 09:05 – 09:50

Fumin Zhang, Georgia Institute of Technology
Title: Learning and Predicting Human Intentions Through Interactions
Time: 09:50 – 10:35

Sam Coogan, Georgia Institute of Technology
Title: Control of signalized traffic intersections using low-rank structure in data
Time: 11:05 – 11:50

Yorai Wardi, Georgia Institute of Technology & Kyriakos Vamvoudakis, Georgia Institute of Technology
Title: Learning-based Predictive Dynamic Controller for Tracking Applications
Time: 13:30 – 14:15

Zhongsheng Hou, Qingdao University
Title: PID and Its Puzzles – MFAC and Progress
Time: 14:15 – 15:00

W3:Control of Underwater and Marine Robots
(Sunday 18 August, 09:00-17:00, has been canceled due to low attendance, Room:LT-18, Yeung Building)

Organizer: Nina Mahmoudian, Purdue University
Organizer: Xianbo Xiang, Huazhong University of Science and Technology
Organizer: Jiancheng Yu, Chinese Academy of Sciences
Organizer: Fumin Zhang, Georgia Institute of Technology

Abstract: The control of underwater and marine robotics workshop is a multi-disciplinary session that aims to present recent advancement of control approaches and applications in the context of underwater and marine robotics. In the last few decades, there has been an emerging emphasis of utilizing autonomous marine robotics to explore and exploit the oceans at an unprecedented spatial and temporal scale. Motivated by the increasing attention, this workshop aims to report recent achievements and identify potential in underwater marine robotics research. We have invited researchers and industrial practioners from different backgrounds to share insights on recent achievements in related topics.

We envision the session to be of interest to audiences from a broad background, such as robotics, control theory, computer science, ocean science, etc. We believe the topic of this session fits the general goal of CCTA, and will be very much appealing to the general public of the conference.

Speakers (tentative):
Xianbo Xiang, Huazhong University of Science and Technology
Title: Guidance and Control of Autonomous Marine Vehicles: Theory and Experiments
Time: 09:05 – 09:50

Nina Mahmoudian, Purdue University
Title: Collective Power Management for Undersea Persistence
Time: 09:50 – 10:35

Jiancheng Yu, Shenyang Institute of Technology, Chinese Academy of Sciences
Title: The Chinese Sea Wing Underwater Glider: 20 Years Review
Time: 11:05 – 11:50

Yueshan Guo, Sublue Co
Title: Observation ROV Applications in Several Conditions
Time: 13:30 – 14:15

Fumin Zhang, Georgia Institute of Technology
Title: Mobile Data Collection in an Aquatic Environment: Cyber Maritime Cycles for Distributed Autonomy
Time: 14:15 – 15:00

Location of Workshop:

LT16-LT18, Yeung Kin Man Academic Building (Yeung’s Building, detail information please click here).