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Saturday, July 5
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Code
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Title
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Proposers
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Time
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WS1
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Complex Embedded and Networked Control Systems (2 days) |
Alexander L. Fradkov, Francoise Lamnabhi-Lagarrigue |
9:00 - 17:30 |
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The new discipline merging Control, Computer, Communication and Physical Systems is facing new very interesting challenges. The need for new paradigms for control design is evident and it is very important to attract attention of the community to these new research directions. The aim of this Workshop is to exchange ideas and research directions between disciplines as diverse as biology, computer science, physics and engineering. This two days Workshop will cover horizontal themes (observation and estimation, stability, synchronisation, delays, adaptation) as well as vertical themes (power systems, biology, chemical processes, robotics, gas/water networks) after presenting general lectures covering control, computer science and physics views and perspectives.
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TT1
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Advances in Three Term Control (2 days) |
Lee H. Keel, Youngchol Kim, Shankar P. Bhattacharyya |
9:00 - 17:30 |
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Three-term controllers which include PID controllers and first order controllers operate control systems in such diverse areas as motion control, aerospace, process control, power systems, steel mills and automobile applications. The design of these controllers is beyond the scope of modern design methods based on H2 and H∞ norm bounded optimization. Classical approaches, such as Ziegler-Nichols, also cannot handle plants beyond first and second order and multiple design specifications. This tutorial will describe recent breakthroughs in the theory, design and software of three term controllers for linear continuous and discrete time systems and for systems containing time delays.
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WS2
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Identification & Control of Unstable Systems (1 day) |
M. Chidambaram, Seshagiri Rao Ambati, Padma Sree Ravi |
9:00 - 17:30 |
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The main objective of this workshop is to provide overview of occurrence, identification and control of unstable processes. Simple methods of identification (based on closed loop reaction curve, optimization and relay) and design of PI/PID controllers for unstable systems will be addressed. The importance of set point weighting and methods for evaluating it will be presented. Limitations of the traditional PID controllers in tracking the set points and regulatory problems, need to go for design of modified Smith predictor schemes; benefits of using lead/lag filters with PI/PID controllers will be addressed with several case studies.
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TT4
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Modeling and Control of
Roll-to-Roll Material Processing Systems (1 day) |
Prabhakar R. Pagilla, Dominique Knittel, KeeHyun Shin |
9:00 - 17:30 |
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The goal of this tutorial is to present and discuss past and recent discoveries in modeling and control of web transport systems that are used in RTR processing. One key objective is to present the material in a manner suitable for practicing engineers as well as students to understand the underlying techniques for modeling, analysis and control design. Existing methods will be interlaced with potential current practical problems of importance to direct the attendees to think about applying and expanding existing methods to solve new problems that arise.
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TT5
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Observers for systems with unknown inputs:
A practical guide to design and applications (1 day) |
Stanislaw H. Zak |
9:00 - 17:30 |
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The goal of this tutorial is to present in a tutorial fashion the theory and design of observers for uncertain systems suited for an engineering audience rather than a research oriented audience. The emphasis will be on design in order to show how uncertain system observer theory fits into practical applications. |
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TT6
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Chance Constrained Process Optimization and
Control under Uncertainty (1 day) |
Pu Li |
9:00 - 17:30 |
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This tutorial presents stochastic methods to deal with optimization and control problems under uncertainty. They are solved with chance constrained programming that utilizes stochastic distribution of uncertain variables explicitly and allows satisfaction of restrictions with a predefined probability. The major challenge lies in computing probability and its derivatives of satisfying inequality constraints. This tutorial gives an introduction to recent research results in this area. Fundamentals of chance constrained programming will be introduced. Approaches to addressing linear, nonlinear, steady-state and dynamic optimization problems under uncertainty will be presented. Applications to various optimization and control tasks with uncertainties will be illustrated. |
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Sunday, July 6
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Code
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Title
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Proposers
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Time
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WS1
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Complex Embedded and Networked Control Systems (2 days) |
Alexander L. Fradkov, Francoise Lamnabhi-Lagarrigue |
9:00 - 17:30 |
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The new discipline merging Control, Computer, Communication and Physical Systems is facing new very interesting challenges. The need for new paradigms for control design is evident and it is very important to attract attention of the community to these new research directions. The aim of this Workshop is to exchange ideas and research directions between disciplines as diverse as biology, computer science, physics and engineering. This two days Workshop will cover horizontal themes (observation and estimation, stability, synchronisation, delays, adaptation) as well as vertical themes (power systems, biology, chemical processes, robotics, gas/water networks) after presenting general lectures covering control, computer science and physics views and perspectives. |
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TT1
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Advances in Three Term Control (2 days) |
Lee H. Keel, Youngchol Kim, Shankar P. Bhattacharyya |
9:00 - 17:30 |
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Three-term controllers which include PID controllers and first order controllers operate control systems in such diverse areas as motion control, aerospace, process control, power systems, steel mills and automobile applications. The design of these controllers is beyond the scope of modern design methods based on H2 and H∞ norm bounded optimization. Classical approaches, such as Ziegler-Nichols, also cannot handle plants beyond first and second order and multiple design specifications. This tutorial will describe recent breakthroughs in the theory, design and software of three term controllers for linear continuous and discrete time systems and for systems containing time delays. |
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TT2
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Convex Optimization (1 day) |
Stephen P. Boyd, Lieven Vandenberghe, Michael Grant |
9:00 - 17:30 |
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This tutorial will give an overview of general convex optimization, emphasizing modeling, applications, and software. Convex optimization is now used in many fields, including control, circuit design, signal processing, statistics, machine learning, communications, and finance. The tutorial will cover the theory need to effectively use convex optimization in applications, some of the numerical methods used to solve convex optimization problems, and recently developed software tools, such as CVX and CVXOPT, that considerably reduce the effort of specifying and solving convex optimization problems. We will cover a large number of examples in control and other areas. |
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TT7
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Robustness in Systems Biology: Methods and Applications (1 day) |
Eric Bullinger, Hong Yue, Frank Allgower |
9:00 - 17:30 |
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Robustness is essential in biology, as many biological systems are known to be robust. Analysing robustness of such systems is however not simple due to the inherent nonlinearity and complexity. This workshop will present some recent results in the development of robustness analysis driven by the need of analysing biological systems and aims at researchers with a control background interested in the current state of the art. The workshop will cover how robustness can be achieved via specific system structures such as feedback, as well as various analysis methods including parametric sensitivity and robust control approaches. |
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TT8
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Biological Control Systems (1 day) |
Babatunde A. Ogunnaike |
9:00 - 17:30 |
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The mammalian organism maintains homeostasis (stable, efficient and “near-optimal” performance) in the face of external and internal perturbations using a complex network of integrated systems. These distinct biological systems range from the large scale physiological (nervous, endocrine, immune, circulatory, respiratory, etc) to the cellular (growth and proliferation regulation, DNA damage repair, etc) and the sub-cellular (gene expression, protein synthesis, metabolite regulation, etc). The course presents a control engineering perspective of the function, organization, and coordination of these multi-scale biological systems and the control mechanisms that enable them to carry out their functions effectively. |
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TT9
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Emerging networked sensing and actuation technologies:
state of the art, system design and applications (1 day) |
Dr. Elena Gaura, Reader in Pervasive Computing |
9:00 - 17:30 |
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Wireless sensor networks (WSNs) offer immense potential for performing detailed spatio-temporal multi-parameter measurements in a variety of applications. When coupled with actuation, this technology could become even more powerful. Both research and commercialization of networked sensing systems have flourished recently, with predicted commercial markets of $50 billion by 2014. The foreseen applications span a range of economic areas, including that of industrial plants and processes. Here, WSNs could bring improvements in process efficiency and enable detailed condition monitoring for machines and industrial environments. The tutorial makes the case for embedding WSNs into control architectures. WSN design techniques are presented and a “real-life” WSN deployment is showcased. |
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TT12
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Variable Structure Systems with
Sliding Modes and their Applications (1 day) |
Xinghuo Yu, Jian-Xin Xu |
9:00 - 17:30 |
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Variable Structure Systems (VSS) have been a major control methodology due to their simplicity and robustness. The ever growing interest in VSS has seen the formation and consolidation of VSS theory, cross-fertilization and integration of VSS with many other control and non-control technologies, and successful applications in many industrial sectors, such as electric energy, aerospace, manufacturing, and ICT. This tutorial aims at giving an in-depth introduction of VSS fundamentals and research frontiers, and a sufficient breadth of integration and cross-fertilization of VSS in control, information processing, modelling and optimization, and intelligent systems. |
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WS3
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Analysis and Design of Distributed Adaptive Networks (1 day) |
Ali H. Sayed |
9:00 - 17:30 |
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Distributed networks linking sensors and actuators will form the backbone of future data, communication, and control networks. Applications will range from sensor networks to precision agriculture, environment monitoring, disaster relief management, smart spaces, target localization, as well as medical applications. The tutorial discusses the concept of adaptive networks and provides an overview of recent developments in adaptation and learning over such networks. An adaptive network consists of a collection of adaptive nodes that communicate with each other as dictated by the network topology and that are able to adapt in response to local data. The interactions among the nodes allow the network to react to data in real-time and to benefit from cooperation, while adaptation at the nodes endows the network with useful tracking abilities. Applications to distributed estimation and filtering are discussed. |
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WS4
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Embedded Control Systems: from design to implementation (1 day) |
Pedro Albertos |
9:00 - 17:30 |
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A Goal of this workshop is to present and discuss new tools for the analysis and design of control systems for multiple networked agents with applications to autonomous vehicles. |
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WS5
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Cooperative Control of Multiple Autonomous Vehicles (1 day) |
A. Pedro Aguiar, Antonio M. Pascoal, Joao Hespanha, Isaac Kaminer , Wei Ren |
9:00 - 17:30 |
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This workshop focuses on the theme of Cooperative Control of Multiple Autonomous Vehicles, with applications to underwater vehicles, surface craft, wheeled mobile robots, and aircraft. The workshop is motivated by new developments in the area, especially those related to guidance and navigation, trajectory-tracking, path-following, and cooperative control and navigation in the presence of stringent communications constraints. The workshop brings together leading researchers, who will give tutorial presentations on these exciting and challenging topics as well as on issues related to Networked Control, enhancing the visibility of the area and attracting attention to new and emerging topics that warrant further research. |
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WS6
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Continuous-time Model Identification from Sampled Data (1 day) |
Liuping Wang, Hugues Garnier, Graham C. Goodwin, Torsten Soderstrom, Rik Pintelon |
9:00 - 17:30 |
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This one-day workshop is to bring together contributions from well-known experts in the field of continuous-time model identification from sampled data. It will cover various topics in continuous-time model identification from theory to application and to software package development, presented by the experts in their field of practice. The workshop is suitable for engineers, students and researchers who wish to gain basic knowledge and advanced knowledge about continuous-time model identification, as well as understand how to use various algorithms in obtaining continuous-time models. The presenters in the workshop are also part of a team who recently completed a research monograph entitled ‘Continuous-time Model Identification from Sampled Data’ (Springer-Verlag, ISBN: 978-1-84-2). |
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WS7
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Delays, Feedbacks and Interconnections:
From Simple structures to Complex Networks (1 day) |
Silviu-Iulian Niculescu, Joono Cheong |
9:00 - 17:30 |
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Delays can describe coupling or interconnection between dynamics, propagation or transport phenomena in shared environments, and heredity and competition in population dynamics. The aim of this workshop is to briefly present a panorama of some “user-friendly” methods and techniques for the analysis of the feedback interconnected systems in presence of delays. The presentation is as simple as possible, focusing on the main intuitive (algebraic, geometric, analytical) ideas to develop theoretical results and their potential use in practical applications. Classical control schemes will be revisited and some applications in communication networks and motion synchronization will be presented. |
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WS8
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Stochastic Model Predictive Control (1 day) |
Mark Cannon, Basil Kouvaritakis |
9:00 - 17:30 |
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The problem of optimizing performance subject to constraints in the presence of uncertainty in model parameters is typically addressed by robust model predictive control (MPC) methodologies that employ only information on bounds on the uncertainty. Increasing demands for optimality in the presence of uncertainty motivate the development and application of MPC that takes explicit account of both omnipresent constraints and ubiquitous stochastic uncertainty. The workshop will provide an introduction to the control theoretic framework of stochastic MPC, the computational aspects of its implementation and a survey of emerging applications. |
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WS9
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Self-optimizing control: Theory and Applications (1 day) |
Vinay Kariwala, Sigurd Skogestad |
9:00 - 17:30 |
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Be it a chemical plant or an airplane, optimal operation requires updating the degrees of freedom in response to disturbances, usually using an online optimizer. A suboptimal but much simpler strategy involves manipulating the degrees of freedom to keep the controlled variables at the setpoints using feedback controllers. The latter strategy is said to be "self-optimizing" if the loss incurred is acceptable. More generally, self-optimizing control involves identifying properties of the optimal solution that are suitable for simple on-line implementation. In fact, the optimal state feedback controller (LQR) is an example of a self-optimizing implementation of a dynamic quadratic optimization problem. In this short course, we mostly consider steady-state economic optimization problems and present methods for selecting a subset or linear combinations of available measurements as controlled variables to minimize the loss. |
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[ 2-Day Programs ]
(Saturday and Sunday, July 5 and 6; 9:00-17:30) : WS1 I TT1
[ 1-Day Programs ]
(Saturday, July 5; 9:00 - 17:30) : WS2 I TT5 I TT4 I TT6
[ 1-Day Programs ]
(Sunday, July 6; 9:00 - 17:30): TT2 I WS5 I TT7 I TT12 I WS6 I TT8 I WS3 I WS7 I TT9 I WS4 I WS8 I WS9
[ Cancelled Classes ] : TT3 I TT10 I TT11
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