Due to the complexity of the industrial working environment, controllers are susceptible to various disturbance signals, resulting in unsatisfactory control performance. Therefore, it is especially important to assess the controller performance. Considering the harmful effect of measurement noise on controller performance assessment (CPA) based on generalized minimum variance control (GMVC), this paper proposes dynamic data reconciliation (DDR) to improve the accuracy of CPA based on GMVC. The paper first introduces CPA based on GMVC, and then analyzes the influence of measurement noise on GMVC based CPA index. DDR combined with GMVC based CPA is then proposed and analyzed in both SISO and MIMO systems to weaken the impact of measurement noise on CPA index. For both Gaussian distributed noise and non-Gaussian distributed noise, the formulation of DDR is derived from the Bayesian formula and maximum likelihood estimate. The effectiveness of the proposed method is verified in different case studies (involving both SISO and MIMO systems), and further verified by the control process of DC-AC converter. The simulation and experiment results demonstrate that the results of CPA based on GMVC can be obviously improved by using DDR.
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http://dx.doi.org/10.1016/j.isatra.2021.01.047 | DOI Listing |
ISA Trans
November 2021
National-Local Joint Engineering Laboratory for Digitalize Electrical Design Technology, Wenzhou University, Wenzhou 325035, China.
ISA Trans
May 2019
Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada.
Even though there is a plethora of literature available for assessing linear control loop performance, they cannot be applied to the nonlinear control loops. In this paper, a nonlinear generalized minimum variance (NGMV) controller based on a single input-single output (SISO) Wiener model is proposed. The NGMV controller's performance is used as a benchmark for a class of nonlinear control loops.
View Article and Find Full Text PDFFront Behav Neurosci
September 2017
Olin Neuropsychiatry Research Center, Hartford HealthCare Corporation, Hartford, CT, United States.
Heavy and/or harmful alcohol use while in college is a perennial and significant public health issue. Despite the plethora of cross-sectional research suggesting deleterious effects of alcohol on the brain, there is a lack of literature investigating the longitudinal effects of alcohol consumption on the adolescent brain. We aim to probe the longitudinal effects of college drinking on gray matter change in students during this crucial neurodevelopmental period.
View Article and Find Full Text PDFNeurol Neuroimmunol Neuroinflamm
August 2015
Servei de Neurologia/Neuroimmunologia (F.C.P.-M., J.S.-G., A.V.-J., J.R., M.T., X.M.) Multiple Sclerosis Centre of Catalonia (Cemcat) and Unitat de Ressonància Magnètica (Servei de Radiologia) (C.A., D.P., A.R.), Hospital Universitari Vall d'Hebron, Barcelona, Spain; and Departament de Medicina (F.C.P.-M.), Universitat Autònoma de Barcelona, Barcelona, Spain.
Objective: To investigate the association between brain volume loss during the first year of interferon treatment and clinical outcome at 4 years.
Methods: Patients with multiple sclerosis initiating interferon β were clinically evaluated every 6 months for the presence of relapses and assessment of global disability using the Expanded Disability Status Scale (EDSS). MRI scans were performed at baseline and after 12 months, and the percentage of brain volume change (PBVC), brain parenchymal volume change (BPVc%), gray matter volume change (GMVc%), and white matter volume change (WMVc%) were estimated.
Animal
September 2012
Irish Cattle Breeding Federation, Highfield House, Bandon, Co. Cork, Ireland.
The objective of this study was to quantify the genetic associations between a range of carcass-related traits including wholesale cut weights predicted from video image analysis (VIA) technology, and a range of pre-slaughter performance traits in commercial Irish cattle. Predicted carcass cut weights comprised of cut weights based on retail value: lower value cuts (LVC), medium value cuts (MVC), high value cuts (HVC) and very high value cuts (VHVC), as well as total meat, fat and bone weights. Four main sources of data were used in the genetic analyses: price data of live animals collected from livestock auctions, live-weight data and linear type collected from both commercial and pedigree farms as well as from livestock auctions and weanling quality recorded on-farm.
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