## Control System Design |

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### Contents

PREVIEW | 3 |

The Excitement of Control Engineering | 5 |

Introduction to the Principles of Feedback | 21 |

Copyright | |

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## Control System Design |

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PREVIEW | 3 |

The Excitement of Control Engineering | 5 |

Introduction to the Principles of Feedback | 21 |

Copyright | |

28 other sections not shown

achieved actuators anti-wind-up applied approximate architecture assume bandwidth cancellation Chapter closed-loop poles complementary sensitivity compute Consider a plant constraints continuous-time control engineering control problem control systems control-system design defined denote described digital control discrete discrete-time dynamics equation example feedforward filter frequency response gain Hence illustrate initial conditions input disturbance integral interaction inverse issues Laplace transform Lemma linearized model magnitude matrix measurement noise model given Model Predictive Control modeling errors multivariable NMP zero nominal model nonlinear Note Nyquist Nyquist plot observer obtain open-loop poles optimal control output disturbance overshoot parameterization performance PID controller plant model plant output poles and zeros polynomial properties quadratic reader requires result Riccati equation robust roll root locus sampling satisfies sensitivity functions sensors shown in Figure signal SIMULINK SISO solution space model stability step reference step response synthesis Theorem trade-offs transfer function unit step unstable poles variables vector Z-transform zero-order hold