Data-based Moving Horizon Estimation under Irregularly Measured Data
Analysis
This article likely presents a research paper on a specific estimation technique. The focus is on improving the accuracy of moving horizon estimation when dealing with data that isn't consistently sampled. The use of 'data-based' suggests the method relies on learning from the data itself, potentially using machine learning techniques.
Key Takeaways
Reference
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