2007 American Control Conference, July 11-13, 2007, New York, NY USA

Workshops
Workshop Chair: Karlene Hoo, Karlene.Hoo@ttu.edu

Workshop Registration

Workshops start at 8:30 am.
Coffee breaks 10:30 am and 3:00 pm

All workshop material will be available at the registration desk.

Two Day Workshops, Monday July 9 and Tuesday July 10:


Practical Techniques in Control Engineering(Canceled)
D. S. Bernstein (Univ. Michigan) and C. R. Knospe (Univ. Virginia).
Beginning with an overview of fundamental modeling and hardware tradeoffs that affect control-system performance, the course systematically examines identification and controller synthesis techniques for both linear and nonlinear systems, including the fundamentals of robust and adaptive control for uncertain systems. This course is suitable for control practitioners who wish to obtain a broad perspective of the control engineering enterprise as well as engineers from all industries seeking a coherent, selfcontained examination of recent developments relevant to control practice.


Recent Advances in Subspace System Identification: Linear, Nonlinear, Closed-loop and Optimal with Applications (Room: Wilder)
W. E. Larimore (Adaptics).

This workshop presents a first principles development of subspace system identification (ID) using a fundamental statistical approach. This includes basic concepts of reduced rank modeling of ill-conditioned data to obtain the most appropriate statistical model structure and order using optimal maximum likelihood methods. These principles are first applied to the well developed subspace ID of linear dynamic models; and using recent results, it is extended to closed-loop linear systems and then general nonlinear closedloop systems. Attendance on day 1 is not necessary for attendance on day 2.


Engineering Applications in Genomics (Room: Odet)

A. Datta (Texas A&M).
This workshop will provide a tutorial introduction to the current engineering research in genomics. The necessary molecular biology background will be presented and techniques from signal processing and control will be used to unearth intergene relationships, carry out gene-based classification of disease, model genetic regulatory networks, and alter their dynamic behavior.

One Day Workshops on Monday,  July 9:

Diagnostics, Prognostics, and Health Management (DPHM): from theory to practice(Canceled)
D. Tolani and E. van Doorn (Intelligent Automation).

This workshop will focus on current state of the art in Diagnostics, Prognostics, and Health Management and the application of these ideas to a wide variety of problems. Presenters will include researchers from Intelligent Automation Inc (DPHM of aircraft wing), Penn State Univ. (Humanengineered complex systems), Georgia Tech Univ. (Integrated Architecture for Engineering Systems), Army Research Lab (Networked system-of systems), and NASA Glenn Research Center (Aircraft gas turbine engines).

An Introduction to Financial Engineering for Control Theorists (Room: Zigfeld)
J. Primbs (Stanford Univ.), M. Rathinam (UMBC), and Y. Yamada (Univ. Tsukuba).

The purpose of this workshop is to introduce control theorists to the exciting research and application area of financial engineering, and to present a number of active research areas where a control theory perspective is making an impact. Topics to be covered include financial market fundamentals, Black-Scholes option pricing theory, dynamic hedging, portfolio optimization, risk management, and financial engineering. The workshop will be taught by control theorists who are now actively working in the financial engineering area. The workshop is suitable for those who are interested in learning the fundamentals of finance and gaining a sense of where control theory is making a contribution.

Uncertain System Control: An Engineering Approach (Room: Brecht)
S. Zak (Purdue Univ.).

This workshop presents a tutorial on the theory and design of controllers for uncertain system. The emphasis will be on design in order to show how uncertain system control theory fits into practical applications. The course begins with the basic components of controllers for uncertain systems; an overview of Lyapunov stability theory , and an introduction to adaptive control using neural fuzzy networks. Participants will learn how to combine these ingredients to obtain sensory interactive control structures incorporating cognitive characteristics to emulate learning behavior with a capacity for performance or parameter adaptation. Multi-objective optimization will be introduced to show how it can provide the designer with good information about available trade-offs.

Theory and Practice of Cross-Directional Control Systems with Industrial Applications(Canceled)
S. Duncan (Univ. Oxford), W. Heath (Univ. Manchester), and A. Taylor (Univ. Oxford).

Cross-directional (CD) control systems are used in many industries that coat or form sheets of materials, such as paper making, hot and cold rolling of metals and plastic film extrusion. This course will show how concepts from modern control can be used in the effective design and operation of CD control systems and these ideas will demonstrated through the use of interactive Matlab® based simulations that can be used by individual participants.

One Day Workshops on Tuesday,  July 10:

Model Predictive Control Workshop (Room: O’Neill)
L. Wang (RMIT Univ) and J. A. Rossiter (University of Sheffield).

Model Predictive Control (MPC) has a long history in the field of control engineering. It is one of the few areas that has received on-going interest from researchers in both the industrial and academic communities. This workshop provides an introduction to model predictive control, and recent developments in design and implementation. Beginning with an overview of the field, the course will systematically cover topics in optimization, receding horizon control, MPC design formulations, constrained control, as well as real time simulation and implementation using MATLAB® and Simulink® as a platform.

Simple Adaptive Control – The Stable Direct MRAC (Room: Zigfeld)
I. Barkana (Kulicke & Soffa Industries, Inc.).
This workshop intends to show that stable adaptive controllers can be easily implemented in large real-world applications, such as UAVs, re-entry vehicles, flexible structures, missiles, etc. The workshop starts with a brief review of adaptive control strategies and the standard MRAC methodology, its contribution to stability analysis and its drawbacks. Then, it presents new developments in the Lyapunov-LaSalle stability analysis that allow to show that a Simple Adaptive Control (SAC) methodology can prevent the common drawbacks related to the standard MRAC and has ultimately managed to provide answers to questions that have remained open for a very long time. It will be shown that recently mitigated passivity conditions and robust stability conditions can be clearly stated in a such way that there is no room for open questions or counter examples. Lastly, the workshop will show that SAC, although initially formulated as only a modest low-order formulation of MRAC, is actually the stable MRAC.

Simulation and Monte Carlo Methods (Room: Brecht)
J.C. Spall and I-J. Wang. (Johns Hopkins Univ.).

Simulation and related Monte Carlo methods provide a powerful tool for the analysis of real-world systems when the system is not amenable to traditional analytical approaches. For example, control and scheduling of complex manufacturing processes and computer-based personnel training. This workshop is an introduction to simulation and Monte Carlo methods as oriented to systems and control problems. Concepts and statistical techniques critical to constructing and analyzing effective simulations will be presented. Applications for simulation and Monte Carlo methods with a focus on problems of interest to the control systems community will be discussed.

Electroactive Polymers (EAP’s) as Artificial Muscles and Sensors: Fundamentals, Applications, and Control Problems(Canceled)
X. Tan (Michigan State Univ.) and K. Kim (Univ. Nevada).

Electroactive polymers (EAP’s), also known as artificial muscles, are a family of novel, attractive, smart materials characterized by large mechanical deformation upon electrical stimuli. They can be used as actuators, sensors, and energy harvesting devices, and have numerous potential applications in bio and micromanipulation, biomimetic robotics, prosthetics, and smart structures. This workshop will introduce the basic principles and properties of several most promising EAP materials and their robotic, biomedical, and industrial applications; and explore the opportunities and challenges for the controls community in the modeling and control of EAP’s.