The 2010 MSC offers well-attended workshops addressing current and future topics in systems and control from experts from academia, national laboratories, and industry. Pre-registration for these workshops is strongly encouraged. Registration for preconference workshops is done at the conference registration site, http://css.paperplaza.net/registration/.
Workshop attendees will receive the material and/or information of the individual workshop at the conference registration desk located at the 5th floor of the conference center. On-site registration for the workshops is also possible at the conference registration desk. The workshop rates and the registration opening hours are shown in Registration page.
STUDENTS: The Control Systems Society is repeating an initiative to allow students free attendance at one of the workshops. If you are a Student Member of both the IEEE and the Control Systems Society in the year 2010 and you are interested in attending one of the workshops offered at the 2010 MSC, you can take this possibility for free. Go to the Student Support Program page for details.
|T-1||Modeling, Analysis, and Design of Repetitive Processes and Iterative Learning Control Systems||Kevin L. Moore, Eric Rogers, Krzysztof Galkowski|
|T-2||Systems with Uncertainty|| Amir Aghdam, Seddik Djouadi,
Yasumasa Fujisaki, Ian Hiskens,
Constantino Lagoa, Matthew Peet, Graziano Chesi
|T-3||Integrated Modeling and Parameter Estimation: An LFR-Modelica Approach||Marco Lovera, Francesco Casella|
|T-4||G. K. Venayagamoorthy|
|T-5||Hassan Noura, Francois Bateman|
SynopsesT-1: Modeling, Analysis, and Design of Repetitive Processes and Iterative Learning Control Systems
Organizers: Kevin L. Moore (Colorado School of Mines), Eric Rogers (University of Southampton), and Krzysztof Galkowski (University of Zielona Gora)
Description: This workshop presents a unified exposition of the fundamentals and recent advances in multi-pass or repetitive processes (RPs). Repetitive process are those in which repeated passes or operation of a systems are executed, with the interesting feature that the output of the previous pass affects the states and output of the current pass. A well-known example of such systems is the iterative learning control (ILC) paradigm, a technique for improving the transient response and tracking performance of processes, machines, equipment, or systems that execute the same trajectory, motion, or operation in a repetitive manner. The workshop begins by considering the RP framework and how it can be used as a generalization for other iterative processes, such as ILC and repetitive control. Next we present fundamental concepts of stability and performance for RPs. Finally, we discuss several design strategies for RPs. Throughout concepts will be illustrated by example. At the end of the workshop attendees will have obtained an understanding of how RPs are modeled as well as knowledge of the control-theoretic properties of RPs. Lastly, attendees will be able to develop controllers for RPs, including ILC.
T-2: Systems with Uncertainty
Organizers: Amir Aghdam (Concordia University), Seddik Djouadi (University of Tenneessee), Yasumasa Fujisaki (Kobe University), Ian Hiskens (University of Michigan), Constantino Lagoa (Pennsylvania State University), Matthew Peet (Illinois Institute of Technology), and Graziano Chesi (University of Hong Kong)
Description: Systems with uncertainty is a fundamental area of control systems that has recently gained particular attention from the control community due to two main reasons. First, considering a nominal model only it is often not longer acceptable in real applications, given the increasing number of variable/unknown parameters and given the interest for obtaining guaranteed performance levels. Second, recent advances in computer hardware and optimization methods have made possible to develop efficient techniques for addressing various analysis and design problems in systems with uncertainty.
The goal of this workshop is to present some of the latest results in the development of such techniques. Specifically, the talks will consider the following topics:
- Robustness analysis of time-varying structured uncertain systems;
- Trajectory sensitivity to model uncertainty;
- Analysis of time-delay systems affected by uncertainty;
- Optimal estimation over uncertain wireless networks;
- Design of robust controllers with structural constraints;
- Probabilistic optimization and randomized algorithms;
- Robust optimization.
The benefit for the attendees of this workshop will be twofold: first, a comprehensive overview of existing solutions for addressing typical problems in systems with uncertainty will be summarized; second, latest discoveries in the development of such solutions and their use in real applications will be presented.
T-3: Integrated Modeling and Parameter Estimation: An LFR-Modelica Approach
Organizers: Marco Lovera and Francesco Casella (Politecnico di Milano)
Description: The development of control-oriented models of physical systems is a complex task, which requires the integration of prior knowledge about the system with experimental data, in view of the application of the model to control systems analysis and design. A critical issue in this task lies in the integration of methods and tools for physical systems modelling and simulation with methods and tools for parameter estimation.
The aim of this workshop is to present an approach to bridge the gap between physical and control-oriented system modelling, based on the automatic derivation of Linear Fractional Representation (LFR) model structures from equation-based, object-oriented Modelica models of nonlinear plants.
Attendees familiar with object-oriented modelling are expected to gain insight on control-oriented applications of this modelling approach besides simulation. Those who are not, will be introduced to the opportunities made possible by the tight integration of modern modelling, identification and control techniques.
The workshop will cover the following topics:
- Introduction to object-oriented modelling and Modelica
- Introduction to LFRs for linear, parameter-varying and nonlinear models
- Methods and tools for automatic derivation of LFRs from object-oriented models
- Integrated object-oriented and LFR modelling and identification
- Numerical examples and tool demonstration
T-4: Advanced Computational Intelligence Techniques for Identification, Control, and Optimization of Nonlinear Systems (CANCELED)
Organizers: G. K. Venayagamoorthy (Missouri University of Science and Technology)
T-5: Fault Diagnosis and Fault Tolerant Control: Application to Unmanned Aerial Vehicle (CANCELED)
Organizers: Hassan Noura (United Arab Emirates University) and Francois Bateman (University Paul Cezanne, Aix Marseille III)
Carl R. Knospe
Department of Mechanical and Aerospace Engineering
University of Virginia, USA