An overview of control performance assessment technology and industrial applications
M Jelali - Control engineering practice, 2006 - Elsevier
A review of the current status in control performance assessment (CPA) technology and
industrial applications is presented. Merits and drawbacks of each CPA method are …
industrial applications is presented. Merits and drawbacks of each CPA method are …
Control performance management in industrial automation: assessment, diagnosis and improvement of control loop performance
M Jelali - 2012 - books.google.com
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 …
contained treatment of a group of methods and applications of burgeoning importance to the …
[LIVRE][B] Dynamic modeling, predictive control and performance monitoring: a data-driven subspace approach
B Huang, R Kadali - 2008 - books.google.com
A typical design procedure for model predictive control or control performance monitoring
consists of: identification of a parametric or nonparametric model; derivation of the output …
consists of: identification of a parametric or nonparametric model; derivation of the output …
Slow feature analysis for monitoring and diagnosis of control performance
Recently, slow feature analysis (SFA), a novel dimensionality reduction technique, has been
adopted for integrated monitoring of operating condition and process dynamics. By isolating …
adopted for integrated monitoring of operating condition and process dynamics. By isolating …
Detection of model-plant mismatch in MPC applications
In model predictive control of processes, the process model plays an important role. The
performance of the controller depends on the quality of the model and hence on the model …
performance of the controller depends on the quality of the model and hence on the model …
Quantifying the impact of model-plant mismatch on controller performance
In model predictive control (MPC) of processes, the model fidelity plays an important role.
The performance of MPC depends on the quality of the model and hence on the model-plant …
The performance of MPC depends on the quality of the model and hence on the model-plant …
Performance assessment of predictive control—A survey
PD Domański - Algorithms, 2020 - mdpi.com
Model Predictive Control constitutes an important element of any modern control system.
There is growing interest in this technology. More and more advanced predictive structures …
There is growing interest in this technology. More and more advanced predictive structures …
Determining the state of a process control system: Current trends and future challenges
In many industrial plants, multiple, interconnected control loops are common. Their
maintenance and improvement requires detailed controller performance assessment to …
maintenance and improvement requires detailed controller performance assessment to …
Performance assessment using a model predictive control benchmark
RH Julien, MW Foley, WR Cluett - Journal of Process Control, 2004 - Elsevier
Model predictive control (MPC) technology has been widely implemented throughout the
petroleum, chemical, metallurgical and pulp and paper industries over the past three …
petroleum, chemical, metallurgical and pulp and paper industries over the past three …
Practical solutions to multivariate feedback control performance assessment problem: reduced a priori knowledge of interactor matrices
The research on control loop performance monitoring and diagnostics has been and
remains to be one of the most active research areas in process control community. Despite …
remains to be one of the most active research areas in process control community. Despite …