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    "id": "nyquist-regeneration-feedback-stability-1932",
    "title": "Nyquist: when feedback stabilizes or makes a circuit sing",
    "summary": "Nyquist’s 1932 analysis relates the decay of a small disturbance in an idealized linear feedback circuit to how its frequency-response curve winds around a critical point. It explains why high feedback gain can be stable and why looking only at a steady-state gain can give the wrong answer.\n\nA microphone near a loudspeaker can create a sustained howl: part of the output returns as new input. Feedback can also make amplifiers more useful. Nyquist asks which of these outcomes a small disturbance produces. He studies one trip around the loop across frequencies, turning the resulting complex response into a curve. The curve’s winding about the critical point reveals growing transients that a steady-state calculation can miss. The original includes conditional-stability examples where increasing gain can first destabilize and then stabilize a system.",
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        "description": "The exact target is the original linear, constant-gain feedback analysis, not all modern Nyquist generalizations. Its causal network impulse response has the stated bounded-variation and integrability restrictions; the open-loop auxiliary function is analytic in the right half-plane and has the required high-frequency behavior. Original winding is about +1 under its AJ convention, not blindly about modern -1. Net winding and boundary contacts matter; a gain-above-one crossing alone is not sufficient when phase behavior reverses. Stability means a dying small disturbance produces a response that dies out; a sustained oscillator is unstable under this definition. Unlimited-power linearization excludes general nonlinear amplitude stability. Original example 8 explicitly shows that omitting high-frequency decay invalidates the apparent curve conclusion; distributed effects change the curve. The original restricted criterion does not automatically cover unstable open-loop poles, multivariable or nonlinear systems. the account does not independently certify every formula, numerical curve or physical experiment. Later introductory commentary, generalized argument-principle formulations and global engineering adoption are separate.",
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      "statement": "# Nyquist: when feedback stabilizes or makes a circuit sing\n\nNyquist’s 1932 analysis relates the decay of a small disturbance in an idealized linear feedback circuit to how its frequency-response curve winds around a critical point. It explains why high feedback gain can be stable and why looking only at a steady-state gain can give the wrong answer.\n\nA microphone near a loudspeaker can create a sustained howl: part of the output returns as new input. Feedback can also make amplifiers more useful. Nyquist asks which of these outcomes a small disturbance produces. He studies one trip around the loop across frequencies, turning the resulting complex response into a curve. The curve’s winding about the critical point reveals growing transients that a steady-state calculation can miss. The original includes conditional-stability examples where increasing gain can first destabilize and then stabilize a system.\n\n## Scientific scope\n\nThe exact target is the original linear, constant-gain feedback analysis, not all modern Nyquist generalizations. Its causal network impulse response has the stated bounded-variation and integrability restrictions; the open-loop auxiliary function is analytic in the right half-plane and has the required high-frequency behavior. Original winding is about +1 under its AJ convention, not blindly about modern -1. Net winding and boundary contacts matter; a gain-above-one crossing alone is not sufficient when phase behavior reverses. Stability means a dying small disturbance produces a response that dies out; a sustained oscillator is unstable under this definition. Unlimited-power linearization excludes general nonlinear amplitude stability. Original example 8 explicitly shows that omitting high-frequency decay invalidates the apparent curve conclusion; distributed effects change the curve. The original restricted criterion does not automatically cover unstable open-loop poles, multivariable or nonlinear systems. the account does not independently certify every formula, numerical curve or physical experiment. Later introductory commentary, generalized argument-principle formulations and global engineering adoption are separate.\n\n## People and systems\n\nHarry Nyquist\n\n\n\n## Original sources\n\n- [H. Nyquist, Regeneration Theory (1932), original article reprinted with permission in publisher-hosted control anthology excerpt](https://media.wiley.com/product_data/excerpt/14/07803602/0780360214.pdf)\n- [Wiley, Regeneration Theory: original January 1932 bibliographic record](https://onlinelibrary.wiley.com/doi/abs/10.1002/j.1538-7305.1932.tb02344.x)\n",
      "summary": "Nyquist’s 1932 analysis relates the decay of a small disturbance in an idealized linear feedback circuit to how its frequency-response curve winds around a critical point. It explains why high feedback gain can be stable and why looking only at a steady-state gain can give the wrong answer.\n\nA microphone near a loudspeaker can create a sustained howl: part of the output returns as new input. Feedback can also make amplifiers more useful. Nyquist asks which of these outcomes a small disturbance produces. He studies one trip around the loop across frequencies, turning the resulting complex response into a curve. The curve’s winding about the critical point reveals growing transients that a steady-state calculation can miss. The original includes conditional-stability examples where increasing gain can first destabilize and then stabilize a system.",
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