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. |
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 - 1987 |
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 C₁(s calculations 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 grAlign formula frequency domain frequency domain performance gain-phase margin given grid gridpoints input internally stable systems interpolation conditions iteration J. W. HELTON jw axis K(jw linear magnitude Math Mathematica mathematical MERINO method NewtonFit NewtonInterpolant Nyquist plot obtain OPTDesign optimization problems output P(jw parameters performance function phase margin plant P(s plot pole location poles and zeros Prob₁ produces R(jw rad/s radius function rational function RationalModel Re[z relative degree requirements envelope RHP poles RHP zeros roll-off constraint satisfies INT semidefinite programming solution specified step response strictly proper T(jw T₁ Theorem theory tracking error Trat2 values W₁(w zeros and poles