content="text/html; charset=iso-8859-1"> Computational optimal transport for applications in control and estimation.

58th IEEE Conference on Decision and Control

Workshop: Computational optimal transport for applications in control and estimation

Nice, December 10, 2019


The optimal mass transport problem is a classical problem in mathematics, and dates back to 1781 and work by Gaspard Monge where he formulated an optimization problem for minimizing the cost of transporting soil for construction of forts and roads. Historically the optimal mass transport problem has been widely used in economics in, e.g., planning and logistics, and was at the heart of the 1975 Nobel Memorial Prize in Economic Sciences. In the last two decades there has been a rapid development of theory and methods for optimal mass transport and the ideas have attracted considerable attention in several economic and engineering fields. These developments have lead to a mature framework for optimal mass transport with computationally efficient algorithms that can be used to address problems in the areas of systems, control, and estimation.

This workshop is being organized in order to introduce optimal transport to a larger audience in the CDC community. The main goal of this workshop is to give a tutorial of it, regarding both theoretical and computational aspects, and to present some applications in the areas of control and estimation.




  • Yongxin Chen (Georgia Institute of Technology)
  • Tryphon Georgiou (University of California, Irvine)
  • Johan Karlsson (KTH Royal Institute of Technology)
  • Axel Ringh (Hong Kong University of Science and Technology)
  • François-Xavier Vialard (University Paris-Est Marne la Vallée)