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Workshops |
List of workshops Workshops descriptions |
The workshops will be offered based on viable attendance. The CDC-ECC 2011 reserves the right to cancel non-viable workshops. In the event of a cancellation, the workshop fees will be refunded in full. 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 2011 and you are interested in attending one of the workshops offered at the CDC-ECC 2011, you can do this for free. Go to the Student Free Workshop Support page for details. |
List of Workshops Offered at the 50th CDC-ECC |
L1 Adaptive Control and Its Transition to Practice
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The Work of Peter Crouch
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Present State and Future Directions of Intelligent Control: Theory and Applications -- A Workshop Sponsored by the Technical Committee on Intelligent Control
THIS WORKSHOP HAS BEEN CANCELED.
Individuals who registered can either receive a full refund or transfer their registration to another workshop.
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Applied Robust Control: From Theory to Automotive Industrial Applications (half day)
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Control Systems Security: Challenges and Directions
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Traffic Modeling and Estimation at the Age of Smartphones: Leveraging Statistical Modeling and Optimal Control
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Robust Hybrid Control Systems
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Universal Laws, Architectures, and Behaviors of Robust, Evolvable Networks
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Randomization and Averaging for Analysis and Design of Complex Systems (half day)
THIS WORKSHOP HAS BEEN CANCELED.
Individuals who registered can either receive a full refund or transfer their registration to another workshop.
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Recent Advances in Model Reference Adaptive Control: Theory and Applications
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Optimal Adaptive Control: Online Solutions for Optimal Feedback Control and Differential Games Using Reinforcement Learning
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Foundations and Future Perspectives to Cooperate in Control and Monitoring with India
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Computational and Learning Methods for Modeling, Control and Optimization Applications in Smart Grids (half day)
THIS WORKSHOP HAS BEEN CANCELED.
Individuals who registered can either receive a full refund or transfer their registration to another workshop.
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Workshops Descriptions |
L1 Adaptive Control and Its Transition to Practice
Additional Participants: Abstract: This workshop will cover the foundations of robust control, Lyapunov stability theory and will present the recent developments on L1 adaptive control theory with flight test results of a subscale commercial jet from a recent NASA program on Aviation Safety. The architectures of L1 adaptive control theory decouple the estimation loop from the control loop and with that allow for arbitrary fast rates of adaptation without sacrificing robustness. The fast estimation loop in these architectures approximates the system inverse arbitrarily closely within the bandwidth of the control channel. The workshop will present the principles of the theory for state feedback and output feedback, using simple examples for illustrations. Matched and unmatched uncertainties, SPR and non-SPR systems will be discussed in details. Upon discussing some UAV applications, flight tests of a generic transport aircraft model of NASA’s AirSTAR facility will conclude the presentation. (Top) |
The Work of Peter Crouch
Additional Participants: Abstract:
Peter Crouch, a Fellow of the IEEE, a key figure in the development of nonlinear control theory, and a
longtime Dean of the Arizona State University and University of Hawaii Colleges of Engineering, will turn
60 this year. We propose to celebrate this occasion with a one-day workshop dealing with the state-of-the-art
in areas to which Crouch has made key contributions. We feel this joint CDC-ECC meeting is particularly
appropriate since Peter has so many connections on both sides of the Atlantic. Topics of the workshop
include: Splines and Optimal Control, Discrete Control Systems and Numerical Analysis, Nonholonomic
Control Systems, Geometry of Optimal Control.
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Applied Robust Control: From Theory to Automotive Industrial Applications (half day)
Additional Participants: Abstract: During the last two decades, there have been great advances in the theory of robust uncertainty-tolerant multivariable feedback control system design, which can accommodate a wide range of operating conditions, process changes, and unmeasured disturbances etc, in order to achieve a desired degree of robustness for MIMO control systems. While robust control systems have been successfully applied in many practical applications, Automotive Industry has not derived much benefit from these advanced control techniques. One of the main reasons for this, perhaps, is the fact that the increasing rate of new technology introduction in the automotive industry far exceeds that of other industries. On the other hand, there is limited resource in legacy automotive control systems to aid development for these novel and complex systems; as a result, there is a continuous increase in the gap between the control theory and the practical control strategies applied to the existing production vehicles. This gap results in significant missed opportunities in addressing several fundamental functionalities of the vehicle including fuel economy, emissions, driveability, unification of control architecture, and integration of the Automotive Mechatronics units on-board vehicle, to name a few. Therefore, it is vital to design advanced control systems, in a timely fashion and with the associated cost and risk, to be developed and implemented within the challenging automotive domain. In this workshop, we present and discuss how to bridge this gap, which is a challenge for the automotive control discipline, by employing the robust MIMO feedback control designs with emphasis on a number of practical automotive control applications. We shall address that Automotive Mechatronics (and its relevant applications) are currently more affordable to be developed, tested and implemented in production vehicles by employing the recent advancements of semiconductor and microcontroller technologies and that of their ever-increasing computational power. It is also highlighted that the key competitive differentiators of tomorrow's vehicles will be entirely dependent on the advanced control algorithms and Mechatronics systems and that they could open up new research opportunities for both academia and industry in the future. (Top) |
Control Systems Security: Challenges and Directions
Additional Participants: Abstract:
Control systems play a central role in a multitude of life-critical applications, from nuclear plants, power grids and manufacturing to aerospace systems and transportation. Disruptions in such applications (either by intent or by accident) could have dire consequences, and thus a concerted effort must be made to ensure that the underlying control systems are resilient to components that behave in malicious or unpredictable ways. Traditional control system security measures based on air-gaps and safety-through-obscurity are no longer sufficient, as control networks become increasingly connected to corporate backbones and utilize off-the-shelf components. The recent sophisticated intrusion of micro-controllers in nuclear plants by the Stuxnet worm is a prime example of the vulnerability of control systems to attacks. (Top) |
Traffic Modeling and Estimation at the Age of Smartphones: Leveraging Statistical Modeling and Optimal Control
Abstract:
Classical highways macroscopic traffic modeling theory dates back to the 1950's, with the development of scalar first order hyperbolic traffic models inspired from hydrodynamics (the Lighthill Whitman Richards model). Later, Hamilton Jacobi equations were used to model vehicles labels as the state variable instead of density. So-called second order flow models consider a second state variable and offer additional modeling capabilities which include the possibility to model different driving behaviors. On arterial networks and urban streets, because of the presence of traffic signals with (in general) unknown signal timing and due to the importance of exogenous events, traffic modeling requires the use of statistical models based on hydrodynamic theory. We will present these different modeling approaches and their respective discretization required for numerical computations. (Top) |
Robust Hybrid Control Systems
Abstract:
Hybrid dynamical systems, when broadly understood, encompass dynamical systems where states or dynamics can change continuously as well as instantaneously. Hybrid control systems arise when hybrid control algorithms --- algorithms which involve logic, timers, clocks, and other digital devices --- are applied to classical dynamical systems or systems that are themselves hybrid. Hybrid control may be used to improved performance and robustness properties compared to classical control, and hybrid dynamics may be unavoidable due to the interplay between digital and analog components of a system. (Top) |
Universal Laws, Architectures, and Behaviors of Robust, Evolvable Networks
Abstract:
This workshop will review recent progress on developing a “unified” theory for complex networks involving several elements: hard limits on achievable robust performance (misnamed “laws”), the organizing principles that succeed or fail in achieving them (architectures and protocols), the resulting high variability data and “robust yet fragile” behavior observed in real systems and case studies (behavior, data), and the processes by which systems evolve (variation, selection, design). (Top) |
Randomization and Averaging for Analysis and Design of Complex Systems (half day)
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Recent Advances in Model Reference Adaptive Control: Theory and Applications
Additional Participant: Abstract:
Research in adaptive control theory is motivated by the presence of uncertainties. Uncertainties in real-world systems are inevitable and may be a result of modeling inaccuracies, external disturbances, actuator failures, or airframe damage. Adaptive control is also motived by the desire to reduce control system development time and cost for systems that undergo frequent evolutionary design changes, or that have multiple configurations or environments in which they are operated. This workshop is intended for those who want to receive an introduction to adaptive control as well as those who wish to find out more about some of the latest developments in adaptive control. The workshop will leverage the research experience of the presenters in both theory and practice of adaptive control and provide participants with software examples and other learning resources. (Top) |
Optimal Adaptive Control: Online Solutions for Optimal Feedback Control and Differential Games Using Reinforcement Learning
Abstract:
Optimal feedback control design is performed offline by solving equations such as the algebraic Riccati equation (ARE) or the Hamilton-Jacobi-Bellman (HJB) equation. Full system dynamics must be known. In machine learning and artificial intelligence, reinforcement learning is a class of algorithms that provide online solutions to optimal control problems in real-time while circumventing explicit system modeling and identification. These methods provide adaptive techniques to learn optimal control policies in real-time based on data measured along the system trajectories. For the LQR, for instance, they provide adaptive methods that converge to the solution to the algebraic Riccati equation (ARE) in real-time without knowing the system A matrix. (Top) |
Foundations and Future Perspectives to Cooperate in Control and Monitoring with India
The registration fee and lunch are offered by the Euclid project for limited number of participants. To express interest to attend, contact: s.klessova@inno-group.com Speakers and moderators (in alphabetical order): Abstract: The workshop aims to review foundations and Indian contributions to monitoring and control systems research during the past five decades, to highlight latest worldwide trends and key challenges for research, development and innovation in systems and control technology and to inform the audience about cooperation opportunities. Indeed, India has a proud heritage in mathematics, leading to systems engineering and monitoring technologies. The root of contemporary linear system theory may be traced to Aryabatta, unquestionably the father of the Diophantine equation, as it is known in the west. More recent examples include a systematic approach to randomized algorithms for solving NP-hard design problems. The realm of contributions of the invited speakers is extremely wide. It covers fundamental methodological research like input-output theory, large scale systems, H_infinity theory, and adaptive and stochastic control. It includes also seminal contributions in classical applied fields like power systems, power electronics and robotics, as well as cutting edge areas like wireless communication system and bio-medical applications. All the speakers have kept very close contact with India and have played a major role in fostering collaborations with the EU and the USA. Their complementary expertise will help to inspire the audience on new challenges in the topic. The workshop will be relevant and useful to all those who are interested in new insights on challenges and opportunities in control systems and monitoring, including graduate students and post-doctoral researchers. http://www.euclid-india.eu/cdc-ecc Example of presentations:
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