Koopman operator theory tutorial covers linear system representation and control

This paper introduces Koopman operator theory, a method for linearly representing complex dynamical systems. It details data-driven techniques like extended dynamic mode decomposition (EDMD) for creating finite-dimensional approximations. The tutorial also covers applications in systems and control, including controller design and simulation studies with accompanying GitHub code. AI

IMPACT Provides a theoretical framework and practical tools for modeling and controlling complex systems, potentially impacting AI applications in robotics and autonomous systems.

RANK_REASON The cluster contains an academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.LG →

• arXiv
• extended dynamic mode decomposition (EDMD)
• GitHub
• Hugging Face
• Koopman operator

• paper
• other

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