What does the Nyquist criterion help determine in control systems?

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Multiple Choice

What does the Nyquist criterion help determine in control systems?

Explanation:
Nyquist criterion tests whether a feedback system will be stable by looking at the open-loop transfer function’s frequency response. By plotting L(jω) as ω runs from 0 to ∞ (and considering the full Nyquist contour), you watch how this response encircles the critical point −1 in the complex plane. If the open-loop system has no unstable poles, zero encirclements of −1 mean the closed-loop is stable; each encirclement indicates an unstable closed-loop pole, with the exact relationship given by N = P − Z (where N is the encirclements, P is the number of unstable open-loop poles, and Z is the number of unstable closed-loop poles). This approach uses frequency-domain information to infer stability, rather than predicting time-domain responses like step response, settling time, or sampling rate.

Nyquist criterion tests whether a feedback system will be stable by looking at the open-loop transfer function’s frequency response. By plotting L(jω) as ω runs from 0 to ∞ (and considering the full Nyquist contour), you watch how this response encircles the critical point −1 in the complex plane. If the open-loop system has no unstable poles, zero encirclements of −1 mean the closed-loop is stable; each encirclement indicates an unstable closed-loop pole, with the exact relationship given by N = P − Z (where N is the encirclements, P is the number of unstable open-loop poles, and Z is the number of unstable closed-loop poles). This approach uses frequency-domain information to infer stability, rather than predicting time-domain responses like step response, settling time, or sampling rate.

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