Robust Process Control
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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allpass approximation Assume block diagram bound classic feedback closed-loop system complementary sensitivity function computed condition for robust condition number constant constraints control system controller q deadtime decoupled defined derived discrete discussed distillation column elements equivalent example family II feedback controller Figure filter parameters high frequencies IMC controller IMC filter IMC structure implies input uncertainty internal stability linear magnitude manipulated variable matrix norm minimizes minimum phase model error model uncertainty Morari nominal performance norm Nyquist obtained open-loop operating point optimal controller output uncertainty Pade approximation PC(I perturbation PID controller problem requirements RHP poles RHP zeros robust performance robust stability robustly stable sampling satisfied setpoint setpoint changes shown in Fig singular value singular value decomposition SISO systems stabilizing controller stable systems step strictly proper Theorem transfer function transfer matrix Type uncertainty description unstable poles vector weight yields zero-order hold