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The Nyquist–Shannon Sampling Theorem states that a continuous-time signal can be fully reconstructed from its samples if the sampling frequency is at least twice the maximum frequency of the signal. This minimum frequency, known as the Nyquist rate, is crucial in control systems to prevent distortion and loss of information. Applications of the theorem include the design of digital control systems, stability analysis, and accurate signal reconstruction.
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