## Digital control of dynamic systems |

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-L Typology I ^2 -o Typology II Typology III

has an input noise w. Which system has the best disturbance rejection, i.e., the

smallest output signal due to the disturbance alone, when r = 0? e) Considering ...

-L Typology I ^2 -o Typology II Typology III

**Figure**1.3 d) Suppose each amplifierhas an input noise w. Which system has the best disturbance rejection, i.e., the

smallest output signal due to the disturbance alone, when r = 0? e) Considering ...

Page 93

T, K T, y(0 H2(s)

Y*(s) for the block diagrams shown in Fig. 4.14. Indicate if a transfer function

exists in each case. ^0 M y T H k (b)

T, K T, y(0 H2(s)

**Figure**4.13 4.6 Find the transform of the output, and its samplesY*(s) for the block diagrams shown in Fig. 4.14. Indicate if a transfer function

exists in each case. ^0 M y T H k (b)

**Figure**4.14 4.7 In Appendix A are sketched ...Page 291

system. To gain insight into the three-axis problem we often consider one axis at

a time.

**Figure**A.l shows a communications satellite with a three-axis attitude-controlsystem. To gain insight into the three-axis problem we often consider one axis at

a time.

**Figure**A. 2 depicts this case where motion is only allowed about an axis ...### What people are saying - Write a review

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### Contents

Quantization Effects | 6 |

CONTENTS | 12 |

Sampled Data Systems | 77 |

Copyright | |

9 other sections not shown

### Other editions - View all

Digital Control of Dynamic Systems Gene F. Franklin,J. David Powell,Michael L. Workman No preview available - 1998 |

### Common terms and phrases

A/D converter amplitude analysis antenna Appendix approximation assume bandwidth block diagram Butterworth Chapter characteristic equation characteristic polynomial coefficients compensation consider continuous signal control law control system corresponding covariance curve define delay derived described design methods difference equation digital control discrete equivalent discrete signals discrete system discrete transfer function dynamic response effects example feedback filter finite first-order first-order hold gain given impulse integral inverse Laplace transform least squares loop magnitude matrix noise nonsingular obtain optimal control output overshoot parameters phase margin plant plot pole-zero mapping poles and zeros problem quantization rectangular rule result root locus roundoff sample rate sampling period second-order system shown in Fig solution solve specifications stable steady-state error step response substitute Suppose techniques tion transfer function transient trapezoid unit circle unit pulse response variable vector z-plane z-transform zero-order hold