Abstract / Overview / Contents

Optimizing a mechanical structure (e.g. a truss, a frame, etc.) or a dynamic system (e.g. an industrial or service robot), one has to cope with several random parameters (model parameters, disturbances, noise factors, etc.) not known in advance, at the planning stage, respectively. However, in most cases, prior and statistical information about the random parameter variations is available.

Hence, the present homepage yields information about analytical tools and numerical procedures for finding more robust optimal decisions, i.e., optimal designs or optimal controls being insensitive with respect to random parameter variations.
This can be achieved by applying stochastic optimization methods incorporating the available prior and statistical information about the random parameter variations into the optimization process.

- Extended Abstract -

Author / Addresses

Office:

Tel. Office:	+49 89 6004 2541
Tel. Secretary:	+49 89 6004 2560
Fax Office:	+49 89 6004 4641 or 4092/3560

e-mail business:	kurt.marti@unibw-muenchen.de
	marti@stoch.net

WWW-Address Office

Further WWW-Addresses

Home:

Tel. Home:	+41 56 441 64 36 (also Fax)
Mobile:	+41 79 358 80 52
Mobile Fax:	+41 79 638 90 53

e-mail: kmarti@bluewin.ch

Scientific Committees:

• GAMM Special Interest Group on "Applied Stochastics and Optimization"
• IFIP-TC7 Working Group WG7.7 on "Stochastic Optimization"

Meetings: Seminars, Workshops

• GAMM Conference 2009, 09-13 February 2009, Danzig, Poland
• 7th GAMM-Workshop "Stochastic Models and Control (Stochastische Modelle und Steuerung)", 16-19 March 2009, Leucorea, Lutherstadt Wittenberg
  
• WCSMO-8, 8th World Congress on Structural and Multidisciplinary Optimization, 1-5 June 2009, LNEC Conference Centre, Lisbon, Portugal
• CC09, 12th International Conference on Civil, Structural and Environmental Engineering Computing, 01-04 September 2009, Madeira, Portugal
• 4th IIASA/GAMM/IFIP-Workshop "Coping with Uncertainty", December 2009, IIASA Laxenburg, Laxenburg/Vienna
  

Publications

New Books

Stochastic Optimization Methods 2nd Edition, Marti, Kurt, Springer-Verlag, Heidelberg-New York 2008,  ISBN 978-3-540-79457-8
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