Titlebook: Control Performance Management in Industrial Automation; Assessment, Diagnosi Mohieddine Jelali Book 2013 Springer-Verlag London 2013 Contr

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1430-9491 rformance malfunctions, to controller optimisation Worked ex.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

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Book 2013urgeoning 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 (CP

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Von CIM zur Unternehmensintegrationchmarks. This chapter provides a general setting for user-specified performance assessment and then presents the IMC-achievable performance assessment, the extended-horizon approach, performance assessment based on desired pole location, historical benchmarking, and assessment methods based on reference models.

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Von CIM zur Unternehmensintegrationis presented. As the interactor matrix is hard to determine, and thus control assessment based on it is difficult, an assessment procedure that does not require the interactor matrix is proposed. Numerous examples are given to illustrate how the methods work.

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https://doi.org/10.1007/978-3-642-93631-9lone; it is an umbrella term for the set of activities and methods for data analysis and quality control. This chapter contains a brief description of selected univariate and multivariate SPC techniques.

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Von CIM zur Unternehmensintegrationrence property led to the bicoherence technique. Alternatively, the surrogate analysis method, which is based on the regularity of phase patterns in nonlinear time series, can be used. Both methods are presented in this chapter, and a comparative study is given on some industrial data sets.

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User-Specified Benchmarkingchmarks. This chapter provides a general setting for user-specified performance assessment and then presents the IMC-achievable performance assessment, the extended-horizon approach, performance assessment based on desired pole location, historical benchmarking, and assessment methods based on reference models.

Alveoli

Minimum-Variance Assessment of Multivariable Control Systemsis presented. As the interactor matrix is hard to determine, and thus control assessment based on it is difficult, an assessment procedure that does not require the interactor matrix is proposed. Numerous examples are given to illustrate how the methods work.