Multi-Agent Control Summer School, Maynooth, 2003

European Summer School
on
Multi-Agent Control

September 8th-10th, 2003

Venue

The workshop was hosted by the Hamilton Institute at NUI Maynooth and Barberstown Castle between September 8th-10th, 2003. It was co-funded by the EC-funded Research Training Network MAC, and the Hamilton Institute, NUI Maynooth.

Switching and Learning in Feedback Systems
European Summer School on Multi-Agent Control, Maynooth, Ireland, September 8-10, 2003, Revised Lectures and Selected Papers
Lecture Notes in Computer Science, Vol. 3355
R. Murray-Smith, R. Shorten, (Eds), Springer-Verlag, 2005, pp343
ISBN: 3-540-24457-3

Objectives

The objective of the EC-funded Research Training Network, Multi-Agent Control, is to consider aspects of the design of Hybrid Systems that involve probabilistic reasoning, optimal co-ordination, stability analysis, and control design. The objective of the Summer School is to provide a stimulating environment for collegial interaction for academics and students working in the area. The total number of participants was limited to around 40.

Plenary speakers

Prof. V. Balakrishnan (Department of Electrical and Computer Engineering, Purdue University)
Prof. M. Johansson (Royal Institute of Technology, Stockholm)
Prof. J. Kalkkuhl (DaimlerChrysler Research, Stuttgart)
Prof. S. Low (Netlab, California Institute of Technology)
Prof. K. S. Narendra (Center for Systems Science, Yale University)
Prof. S. Roweis (Department of Computer Science, University of Toronto)
Dr. V. Tresp (Siemens AG)
Prof. P. Wellstead (Hamilton Institute, NUI Maynooth)

Schedule of Events

Sunday, 7th Sept, 8.00 pm;

	Monday, 8th Sept	Tuesday, 9th Sept	Wednesday, 10th Sept
9.00 - 10.00	Hamilton Lecture From feedback control to complexity management:A personal perspective Prof. K. S. Narendra, Yale University	Hierarchical Bayes with applications to information filtering Dr. V. Tresp, Siemens Research	MAC meetings
10.30 - 11.30	Interior-point algorithms for semidefinite programming problems derived from the Kalman-Yakubovich-Popov Lemma (abstract) Prof. V. Balakrishnan, Purdue University	Smooth Sailing: Learning manifold structure from sequences (abstract) Prof. S. Roweis, University of Toronto
11.30 - 2.00	Lunch / Poster session Analysis of TCP congestion control, Robert Shorten, Doug Leith, Robert Kilduff, John Foy Gaussian processes in Reinforcement Learning, Malte Kuss, Carl E. Rasmussen Gaussian Process models for control, Roderick Murray-Smith, Daniel Sbarbaro, Carl Rasmussen. Stability of switched linear SISO systems - A frequency-domain approach, Kai Wulff, Robert Shorten Oliver Mason, Robert Shorten Probability Based Multimodal Feedback for Gesturing, Parisa Eslambolchilar, Andrew Crossan, Rod Murray-Smith Probabilistic Text Entry with adaptive dynamics, John Williamson, Roderick Murray-Smith	Lunch / Poster session Predictive control with Gaussian process models, Jus Kocijan, Roderick Murray-Smith, Carl E. Rasmussen, Bojan Likar Learning a GP model with Uncertain Inputs, Agathe Girard, Roderick Murray-Smith Data imputation and robust training with Gaussian processes, Joaquin Quinonero Control of Sideslip and Yaw Rate in 4-Wheel Steering Cars, M. A. Vilaplana, D. J. Leith and W. E. Leithead.
2.00 - 3.00	Integrated chassis control for experimental drive-by-wire vehicles (abstract) Prof. J. Kalkkuhl, DaimlerChrysler Research	FAST TCP (abstract) Prof. S. Low, Caltech
3.30 - 4.30	An overview of machine learning and adaptive control applications at Siemens Dr. V. Tresp, Siemens Research	Simultaneous routing and resource allocation in wireless data networks (abstract) Prof. M. Johansson, Royal Institute of Technology
5.00 - 6.00	Two dimensional (2D) system ideas for industrial processes (abstract) Prof. P. Wellstead, Hamilton Institute
8.00	Banquet at Barberstown Castle	Dinner and entertainment in Dublin

Travel information

Location and travel information can be found here.

Contact

Further information can be obtained from Rosemary Hunt.