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What is Adaptive Sampling Control Law Design about?

This paper presents a unified analytic approach for designing adaptive sampling control laws in sampled-data systems, focusing on minimizing an objective function that measures sampler performance. Six different control laws are derived based on varying weighting coefficients, and the paper discusses the implications of these laws on system response and sampling efficiency. Experimental results indicate that the adaptive sampling system can be more efficient than traditional periodic sampling methods.

Author

siniwi6193

Language

EN