Robust Process ControlPrentice Hall, 1989 - 488 Seiten A state-of-the-art study of computerized control of chemical processes used in industry, this book is for chemical engineering and industrial chemistry students involved in learning the micro-macro design of chemical process systems. |
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78 Seiten stimmen mit dem Suchbegriff "Assume" in diesem Buch überein.
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Inhalt
INTRODUCTION | 1 |
THE SISO IMC STRUCTURE FOR STABLE SYSTEMS | 3 |
SISO IMC DESIGN FOR UNSTABLE SYSTEMS | 5 |
Urheberrecht | |
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approximation Assume block diagram bound c₁ closed-loop poles closed-loop system complementary sensitivity function condition for robust condition number constraints control system controller q deadtime defined derived diagonal disturbance rejection elements equivalent example family II feedback controller Figure filter parameters H₂ H2-optimal controller IMC controller IMC structure implies input uncertainty internal stability linear loop system magnitude manipulated variable matrix norm minimizes minimum phase model error model uncertainty nominal performance norm Nyquist objective obtained open-loop optimal controller p(iw Padé approximation performance specifications perturbation PID controller problem q₁ RHP poles RHP zeros robust performance robust stability robustly stable sampled-data sampling satisfied setpoint shown in Fig singular value stabilizing controller stable systems step step inputs strictly proper Theorem transfer function transfer matrix Type uncertainty description unstable poles vector W₁ weight yields νω