For participants > Call for papers

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Submission website: https://ifac.papercept.net/conferences/scripts/pinwizard.pl 

 

Topics

The authors are invited to submit contributions related to any optimization-based decision-making in a general sense. While the theoretical and applicative research related to model-based approaches are representing the classical framework for optimization-based design at IFAC CAO meetings, we look forward to receiving submissions on the latest developments on the data-driven techniques and the related learning approaches.

The topics of interest include but are not limited to : 

  • optimization methods
  • distributed and decentralized optimization and estimation
  • optimal control
  • control design for hybrid systems
  • differential games
  • large scale optimization problems
  • evolutionary algorithms
  • singularities in optimization
  • stochastic optimization
  • optimization for learning and control
  • numerical methods for optimization
  • data-based optimal control
  • robust control and stabilization
  • data-driven models and decision-making
  • multi-objective control and optimization
  • optimization methods in reliability
  • optimization under uncertainties including the theory of noise measurements
  • applications in economics, logistics and management
  • model-based predictive control
  • applications in environmental sciences
  • receding-horizon estimation
  • application in health and public policies
  • generalized solutions of Hamilton–Jacobi equations
  • applications in energy and power systems
  • control of partial differential equations
  • applications in transportation
  • real-time control problems
  • optimal control education

 

 

 

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