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September 20, 2025Open Access

A Duality Principle for Chaotic Systems: From Data Assimilation to Efficient Control

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The proposed control strategies utilize chaos synchronization to manage extreme weather effects.
Control simulation experiments reveal how to synchronize chaotic systems with target trajectories for effective outcomes.
Data assimilation techniques are crucial for aligning models to natural chaotic trajectories in weather prediction.
This research offers insights into managing chaotic systems, reshaping our understanding of extreme weather events.

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This framework proposes control strategies for extreme weather in chaotic systems, highlighting data assimilation's role.

Takemasa Miyoshi (2025) studied this question.

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