## Classical Control Using H-infinity Methods: An Introduction to DesignOne of the main accomplishments of control in the 1980s was the development of H8 techniques. This book teaches control system design using H8 methods. Students will find this book easy to use because it is conceptually simple. They will find it useful because of the widespread appeal of classical frequency domain methods. Classical control has always been presented as trial and error applied to specific cases; Helton and Merino provide a much more precise approach. This has the tremendous advantage of converting an engineering problem to one that can be put directly into a mathematical optimization package. After completing this course, students will be familiar with how engineering specs are coded as precise mathematical constraints. |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

OT64_ch1 | 3 |

OT64_ch2 | 11 |

OT64_ch3 | 17 |

OT64_ch4 | 35 |

OT64_ch5 | 47 |

OT64_ch6 | 65 |

OT64_ch7 | 101 |

OT64_appa | 115 |

OT64_appb | 119 |

OT64_appc | 121 |

OT64_appd | 127 |

OT64_appe | 137 |

OT64_appf | 143 |

OT64_appg | 151 |

OT64_backmatter | 159 |

### Other editions - View all

Classical Control Using H-infinity Methods: An Introduction to Design J. William Helton,Orlando Merino No preview available - 1998 |

### Common terms and phrases

algorithms analytic functions Anopt bandwidth Bode plots BodeMagnitude calculations cancellation Chapter closed-loop function closed-loop roll-off closed-loop system closed-loop transfer function compensator complex numbers defined design problem designable transfer function diagnostics disk inequality domain performance requirements domain requirements example Flat formula frequency domain frequency domain performance gain-phase margin given grid gridpoints input internally stable systems interpolation conditions iteration J. W. HELTON jay axis magnitude Math Mathematica mathematical MERINO method Newton Fit Nyquist plot obtain OPTDesign optimization problems output parameterization parameters paux performance function phase margin plant P(s plot PlotRange pole location poles and zeros produces rad/s radius function rational approximation rational function Rational Model relative degree requirements envelope RHP poles RHP zeros roll-off constraint satisfies INT semidefinite programming solution specified step response strictly proper T(jaj T(jaw T(jw Theorem theory Ti(s tracking error Trat zeros and poles