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