SIAM Conference on Control and Its Applications (CT25)

This is the conference of the SIAM Activity Group on Control and Systems Theory.

The field of control theory is central to a wide range of aerospace, energy, automotive, and advanced technological systems and is increasingly recognized as fundamental for emerging fields ranging from nanotechnology, the smart grid to cellular regulation. Moreover, in addition to its traditional ubiquity in process regulation for the physical sciences and engineering, control concepts now pervade the biological, computer, and social sciences. This conference will showcase a wide range of topics in control and systems theory. The topics and applications include control of PDEs, computational mathematics for control and optimization, real-time optimization and data assimilation, cooperative control for unmanned autonomous vehicles, dynamic games, cellular and biological regulation, control of hybrid systems, control techniques for financial mathematics, analysis and control of biomedical systems, risk sensitive control, learning for dynamics and control, control for smart systems such as transportation networks, flow control, and quantum control.

This conference is a continuation of a series of meetings started in 1989 in San Francisco.

The following conferences will be held jointly:
SIAM Conference on Applied and Computational Discrete Algorithms (ACDA25)
SIAM Conference on Computational Geometric Design (GD25)
SIAM Conference on Control and Its Applications (CT25)
The Third Joint SIAM/CAIMS Annual Meetings (AN25)

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Included Themes

Themes and applications include:

• Adaptive control
• Control of biological systems
• Control of delay systems
• Control of hybrid systems
• Control of networks
• Control of partial differential equations
• Control of smart material systems
• Control techniques for financial mathematics
• Control of traffic networks and other transportation systems
• Cooperative control
• Data driven modeling, estimation and control
• Estimation
• Feedback control
• Fluid flow control
• Game theory
• Industrial applications
• Information-constrained control
• Intelligent automation
• Machine learning and artificial intelligence
• Mean field control
• Multi-agent systems and control
• Nonlinear systems
• Optimal control
• Optimization in control and systems theory
• Process control
• Quantum control, estimation, and filtering
• Robust control
• Stochastic control