## Digital Control Systems: Fundamentals, deterministic controlThis well-known book is an introduction to the field of digital, sampled-data control. It treats the field in depth and can be used for courses and for self study. The second edition has been completely revised and expanded with new results. The work now appears in two volumes, with Volume 2 to be published in 1989. The volumes form a unit and take the reader systematically from fundamentals to problems of real applications. The work is directed towards students of electrical and mechanical engineering, computer science (especially with a specialization on automation and control engineering), and other fields like biology, economics, space mathematics and physics. It is also directed to engineers and scientists concerned with solving concrete problems. |

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### Contents

Introduction | 1 |

Control Systems Structure | 8 |

Control Systems for Stochastic Control Systems 12 Stochastic Control Systems Introduction | 12 |

Copyright | |

41 other sections not shown

### Other editions - View all

Digital Control Systems: Fundamentals, deterministic control Rolf Isermann No preview available - 1989 |

### Common terms and phrases

according amplitude approximation assumed asymptotically stable bu(k calculated cancellation controllers chapter characteristic equation closed-loop coefficients command variable computer-aided design constant continuous signals continuous-time control behaviour control loop control performance control variable controllable canonical form controller design controller parameters corresponding DB(v deadbeat controller deadtime processes described design methods determined difference equation digital control systems discrete discrete-time function discrete-time signals example feedback control feedforward control first-order first-order hold follows frequency given GP(z GR(z Gw(z Hence HG(z impulse train initial values input signal integral Laplace-transform manipulated variable u(0 manipulating effort matrix numerical observer obtained optimal controllers output signal parameter optimization parameters q0 performance criterion poles and zeros predictor controller process computers process model pulse recursive reference variable sampled signal sampled-data control sampler sampling time T0 stability staircase function step change step response Table transfer function transformation tuning rules unit circle vector weighting factor z-plane z-transform zero-order hold