Plenary/Keynote Speakers

1. Cyber Control and Applications Symposium
2. Cyber Robotics and Automation Symposium

Plenary Speakers

Dr. Rush D. Robinett III, Sandia National Laboratories, NM, USA

Title: Integrating Renewables into the Electric Grid: Where’s the Energy Storage?

Biography: Dr. Rush D. Robinett III is Senior Manager of the Grid Modernization and Military Energy Systems Group at Sandia National Laboratories, focusing on the research and development of microgrids and networked microgrids. Rush began his career at Sandia in 1988 as a Member of the Technical Staff, working on the Star Wars Program. In 1995, he was promoted to Distinguished Member of Technical Staff and shortly thereafter to Technical Manager of the Intelligent Systems Sensors and Controls Department within the Robotics Center. In 2002, Rush was promoted to Deputy Director and Senior Manager of the Energy and Infrastructure Future Group, where he developed new opportunities in distributed, decentralized energy and transportation infrastructures with a focus on entropy and information metrics. Rush has authored more than 100 technical articles, including three books and holds seven patents.  He has three degrees in Aerospace Engineering: a BS and Ph.D. from Texas A&M University and an MS from the University of Texas at Austin.

Abstract: How will the integration of large percentages of renewable energy sources affect the electrical grid?  More specifically, how will replacing fossil-fuel burning generators with intermittent renewable energy sources impact the “Smart Grid, ” notably in the form of additional energy storage and feedback control systems?

Dr. Rush D. Robinett III will explore these timely issues, explaining how the brute force, dispatchable fossil-fuel-based electricity generation of today will give way to a “Smart Grid” based on two-way power and information flow. He will explain what that transition means in terms of grid management and will also give a high-level overview of the U.S. Department of Energy’s Solar Photovoltaics and Wind Energy Programs approaches to the challenges of renewables integration, setting the stage for the development and application of advanced nonlinear control system concepts needed to fully implement a Smart Grid.

Dr. Max Q.-H. Meng, The Chinese University of Hong Kong, Hong Kong

Title: Smart robot and sensor design: From small intestine to the bid dog and to the moon

Biography: Dr. Max Q.-H. Meng received his Ph.D. degree in Electrical and Computer Engineering from the University of Victoria, Canada, in 1992, following his Master’s degree from Beijing Institute of Technology in 1988. He has been a Professor of Electronic Engineering at the Chinese University of Hong Kong since 2002, after working for 10 years in the Department of Electrical and Computer Engineering at the University of Alberta in Canada as the Director of the ART (Advanced Robotics and Teleoperation) Lab, holding the positions of Assistant Professor (1994), Associate Professor (1998), and Professor (2000), respectively. He was jointly appointed as an Overseas Outstanding Scholar Chair Professor of the Chinese Academy of Sciences and the Dean of the School of Control Science and Engineering at Shandong University in China. He is currently jointly appointed as a Distinguished Provincial Chair Professor of Henan University of Science and Technology and the Honorary Dean of the School of Control Science and Engineering at Shandong University in China. His research interests include robotics and active medical devices, tele-medicine and healthcare, bio-sensors and sensor networks, network enabled systems and services, and adaptive and intelligent systems. He has published more than 350 journal and conference papers and book chapters and led more than 30 funded research projects to completion as Principal Investigator. He has served as an editor of the IEEE/ASME Transactions on Mechatronics and an associate editor of the IEEE Transactions on Fuzzy Systems, and is currently a technical editor of Advanced Robotics, Journal of Advanced Computational Intelligence and Intelligent Informatics, and International Journal of Information Acquisition. He served as an Associate VP for Conferences of the IEEE Robotics and Automation Society (2004-2007), an AdCom member of the IEEE Neural Network Council/Society (2003-2006), and a member of the IEEE/ASME Transactions on Mechatronics Management Committee (2001-2006). He was the General Chair of IEEE CIRA 2001, IROS 2005, AIM 2008, and WCICA 2010 conferences. He is a recipient of the IEEE Third Millennium Medal award and he is a Fellow of IEEE.

Abstract: Sensors and robots are building blocks of modern intelligent systems widely used in areas spanning from medical diagnosis and treatment to space exploration. For the past decade, rapid progress has been made in micro sensor and robot design and development. In this talk, our recent research work on micro sensor and robotic system design and development will be presented, with emphasis on their applications in a number of application fields from active wireless capsule endoscopy, to the Chinese Big Dog project and then to the moon rover navigation systems. Experience and lessons learned will be reflected and future outlook of theoretical challenges and potential alternative applications will be discussed.

Dr. Haibin Yu, Shenyang Institute of Automation, Chinese Academy of Sciences, P.R. China

Title: Highly Reliable and Hard Real-Time Wireless Sensor Networks for Industrial Applications

Biography: Dr. Yu Haibin is currently the Director and a professor of the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), China. He focuses on the basic and applied research in the fields of industrial wireless sensor networks, automation control systems, and advanced control techniques. Prof. Yu has developed the IEC 62601 industrial wireless standard and the first FF fieldbus specification in China. He solved the key technical problems of realtime, reliable and low-cost communication in industrial wireless networks, an proposed new solutions for many industrial difficulties, such as energy efficiency monitoring, industrial pollution control, and industrial asset management. Prof. Yu is an ISA Fellow, Chairman of the Chinese SAC/TC124/SC4, Vice-Chairman of the Chinese SAC/TC159, Vice-Chairman of the China Instrument Manufacturers Association, Council Member of the China Instrument and Control Society, and Council Member of the Chinese Association of Automation (CAA). Prof. Yu has received many honors throughout his career, the most important of which include the National Crackerjack Young Persons, the Young and Middle-aged Elite of Science and Technology Innovation for Contemporary Instrument, Measurement and Control, and the National Youth Science and Technology Award of China.

Abstract: A wireless sensor network applicable to industrial applications is a revolutionary technology for reducing costs and expanding the application scope of industrial measurement and control systems. In the field of industrial measurement and control, the wireless sensor network has become another hot spot after fieldbus, which has changed the information delivery and processing of existing control systems. Wireless communication technology allows measurement and control systems to be low-cost, easy to use and maintain, and has more broad potential applications. However, specific requirements of industrial measurement and control applications bring forth new challenges to wireless sensor networks, especially when the networks need to be reliable and perform deterministic real-time tasks. This talk will discuss an architecture of wireless sensor networks for industrial applications, which involves topology design, network management scheme, and cross-layer optimization. Using this architecture or framework, some methods of highly reliable transmission and hard real-time communication will be introduced, including adaptive frequency hopping, multi-path routing, time synchronization, and communication resource allocation.

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Special Invited Symposium: Cyber Control and Applications

(Keynote Speakers for this symposium are underlined in the author list below)

 

On the Design of Anti-windup Compensation for the Enlargement of the Domain of Attraction
Yuanlong Li, Zongli Lin
Charles L. Brown Department of Electrical and Computer Engineering
University of Virginia, USA

In this talk, the design of anti-windup compensation for the enlargement of the domain of attraction of a linear system subject to actuator saturation. In particular, a recent saturation-based switching anti-windup design will be emphasized.

Optimization of Dynamic Game with Discount Factor
Daizhan Cheng, Yin Zhao
Institute of Systems Science, AMSS
Chinese Academy of Sciences
Beijing, China

Consider an infinitely repeated game between human and machine. Assume the machine strategy depends on only finite history. The performance criterion is current value, i.e., future money with discount fact. Human’s best strategy is investigated. It is firstly proved that the optimal strategy can be found in the set of periodic strategies, which makes the problem finitely computable, though the computational complexity of exhaustion might be a severe problem. Then an efficient numerical method is developed to solve the problem. Some interesting examples are presented to demonstrate the efficiency of our results.

Distributed Control of Nonlinear Multi-Agent Systems Using Output Feedback

Tengfei Liu and Zhong-Ping Jiang
Department of Electrical and Computer Engineering,
Polytechnic Institute of New York University
New York, USA

This paper presents a cyclic-small-gain approach to distributed output-feedback control of nonlinear multi-agent systems. Through novel distributed observer and controller designs, the closed-loop multi-agent system is transformed into a large-scale system composed of input-to-state stable (ISS) subsystems, the ISS gains of which can be appropriately assigned. The stability of the closed-loop multi-agent system is guaranteed by the recently developed cyclic-small-gain theorem and the outputs of the agents can be steered to within an arbitrarily small neighborhood of any desirable agreement value.

Multi-agent Information Fusion and Cooperative Search

Jinwen Hu and Lihua Xie
School of Electrical and Electronic Engineering
Nanyang Technological University
Singapore

This talk is concerned with cooperative search for multiple stationary ground targets by a group of UAVs with limited sensing and communication capabilities. We partition the whole surveillance region into cells and each cell is associated with a probability of target existence, which constitutes a probability map for the whole region. Each agent keeps an individual probability map and updates the map using the measurements of itself and information from its neighbors. A consensus-like distributed fusion scheme is proposed for multi-agent map fusion. It is proved that all individual probability maps converge to the same one that reflects the true existence or nonexistence of targets within each cell. Coverage and topology control algorithms are designed for the path planning of mobile agents. The performance of the fusion scheme for asynchronous implementations of sampling and communication is analyzed. Simulations demonstrate the effectiveness of the proposed algorithms.

Universal Fuzzy Controllers Based on Generalized T-S Fuzzy Models

Q. Gao and G. Feng
Dept. of Mechanical and Biomedical Engineering
City University of Hong Kong
Hong Kong

This talk presents some results on the universal fuzzy control problem based on generalized T-S fuzzy models. The universal approximation capability of the generalized T-S fuzzy models is shown first. The results of universal fuzzy controllers for two classes of nonlinear systems are then given, and constructive procedures to obtain the universal fuzzy controllers are also provided. An example is finally presented to show the effectiveness of our approach.

Cooperative Global Robust Output Regulation for a Class of Nonlinear Multi-Agent Systems

Youfeng Su and Jie Huang
Department of Mechanical and Automation Engineering
The Chinese University of Hong Kong
Shatin, N.T., Hong Kong, China

In this paper, we study the cooperative global robust output regulation problem for a class of lower triangular nonlinear uncertain multi-agent systems. We first introduce a type of distributed internal model that converts the cooperative global robust output regulation problem into a global robust stabilization problem of a so-called augmented multi-agent system which is in block lower triangular form. We then further show that, under a set of standard assumptions, the augmented multi-agent system is globally stabilizable by a distributed state feedback control law.

Observer Based Nonlinear Multiple Model Adaptive Control

Jie Chen, Wei Chen, Jian Sun
Research Institute for Science and Technology
Beijing Institute of Technology
Beijing, China

In this paper a systematic multiple model adaptive control design with output feedback is proposed for Lipschitz nonlinear systems. By adding a compensator input into the observer based controller, the uncertainty brought by the observer error can be decreased and the steady state response can be improved significantly. In order to deal with the uncertainty of system dynamics, a multiple model switching scheme is introduced to improve the transient performance. It involves a state-dependent dwell-time to ensure the stability as it can cancel the possible increasement of Lyapunov function in each switching. The asymptotical stability of the closed-loop switching system is proved. A simple simulation is presented to demonstrate these properties.

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