Control Performance Management in Industrial Automation provides a coherent and self-contained treatment of a group of methods and applications of burgeoning importance to the detection and solution of problems with control loops that are vital in maintaining product quality, operational safety, and efficiency of material and energy consumption in the process industries. The monograph deals with all aspects of control performance management (CPM), from controller assessment (minimum-variance-control-based and advanced methods), to detection and diagnosis of control loop problems (process non-linearities, oscillations, actuator faults), to the improvement of control performance (maintenance, re-design of loop components, automatic controller re-tuning). It provides a contribution towards the development and application of completely self-contained and automatic methodologies in the field. Moreover, within this work, many CPM tools have been developed that goes far beyond available CPM packages.

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.