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Control Performance Management in Industrial Automation


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Table of Contents

Introduction.- Assessment Based on Minimum Variance Principles.- User-specified Benchmarking.- Advanced Control Performance Assessment.- Deterministic Controller Assessment.- Minimum Variance Assessment of Multivariable Control Systems.- Selection of Key Factors and Parameters in Assessment Algorithms.- Statistical Process Control.- Detection of Oscillating Control Loops.- Detection of Loop Non-linearities.- Diagnosis of Stiction-related Actuator Problems.- Complete Oscillation Diagnosis Based on Hammerstein Modelling.- Performance Monitoring and Improvement Strategies.- Controller Auto-Tuning Based on Control Performance Monitoring.- Industrial CPM Technology and Applications.- Performance Monitoring of Metal Processing Control Systems.- Basic Signal Processing and Statistics.- Higher-order Statistics.- Control Loops from Different Industries.

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