Based on the organizers" recent textbook "Solving Control Related Mathematic Problems in Matlab" by Tsinghua University Press in 2007, a half day tutorial is designed to have a quick tour of the book with illustrated examples. The emphasis is on control related topics. We choose to cover 1) "Difference equation related problems" (Chapter 6); 2) "Intelligent computation related problems" (Chapter 7); 3) "Robust control related problems" (Chapter 8); and 4) "Fractional calculus related problems" (Chapter 9). In each part, control related examples will be illustrated.

The main objective of this tutorial is to show how to actually apply Matlab tools to get the control related problems solved. Hands-on experience is emphasized.

List of Presenters:

Dingyu Xue - Northeastern University, China

Yangquan Chen - Utah State University, USA

Workshop Schedule:

Time	Topic	Presenter
8:00-8:15	Welcome and Introduction	D. Xue
8:15-9:00	Difference Equations (Chap. 6)	D. Xue
9:00-9:45	Computational Intelligence (Chap. 7)	D. Xue
9:45-10:15	Break
10:15-11:00	Robust controls (Chap. 8)	D. Xue
11:00-11:45	Fractional order calculus, fractional order dynamic systems and controls (Chap. 9)	Y. Q. Chen
11:45-12.00	Closing remarks	D. Xue

Contact Information:

Professor Dingyu Xue

Institute of Robotics and Artificial Intelligent

School of Information Science and Engineering

Northeastern University, Shenyang 110004, P R China

email: xuedingyu@ise.neu.edu.cn, T/F: +86-24-23899982

Yangquan Chen, Ph.D, Acting Director,

Center for Self-Organizing and Intelligent Systems (CSOIS),

Assistant Professor, Dept. of Electrical and Computer Engineering,

Utah State University, 4120 Old Main Hill, Logan, UT 84322-4120, USA

Email: yqchen@ece.usu.edu, Tel: 1(435)797-0148; Fax: 1(435)797-3054;

Website: http://mechatronics.ece.usu.edu/controlmathbook/

Tutorial Workshop 2: (14:00 - 16:00, Room 3)

Distributed Consensus Algorithms and Their Applications in Multi-vehicle Cooperative Control

Organizer:

Wei Ren - Utah State University, USA

Workshop Abstract and Objectives:

While autonomous vehicles that perform solo missions can yield significant benefits, greater efficiency and operational capability will be realized from teams of autonomous vehicles operating in a coordinated fashion. Potential applications for multiple autonomous vehicles include autonomous household appliances, hazardous material handling systems, distributed reconfigurable sensor networks, surveillance and reconnaissance, space-based interferometry, and future autonomous combat systems. To enable these applications, a variety of cooperative control capabilities need to be developed. These capabilities include formation control, rendezvous, attitude alignment, flocking, foraging, task and role assignment, payload transport, air traffic control, and cooperative search.

Execution of these capabilities requires that individual vehicles share a consistent view of the objectives and the world. Information consensus guarantees that vehicles sharing information over a network topology have a consistent view of information that is critical to the coordination task. By necessity, consensus algorithms are designed to be distributed, assuming only neighbor-toneighbor interaction between vehicles. Consensus algorithms have applications in rendezvous, formation control, flocking, attitude alignment, and sensor networks.

The purpose of this workshop is overview the research of distributed consensus algorithms in cooperative control of multiple autonomous vehicles. The presenter has been actively involved in this area over the past several years. In particular, theoretical aspects of distributed consensus algorithms will be introduced. Application examples of distributed consensus algorithms in multivehicle cooperative control will also be presented.

List of Presenters:

Wei Ren - Utah State University, USA

Workshop Schedule:

Time	Topic	Presenter
14:00-14:10	Welcome and Introduction	W. Ren
14:10-15:00	Distributed multi-vehicle cooperative control: Theory	W. Ren
15:00-15:10	Break
15:10-16:00	Distributed multi-vehicle cooperative control: Applications	W. Ren