Robust regulation of alkalinity in highly uncertain continuous anaerobic digestion processes

Abstract

Reliable corner detection is an important task in determining the shape of different regions within an image. Real-life image data are always imprecise due to inherent uncertainties that may arise from the imaging process such as defocusing, illumination changes, noise, etc. Therefore, the localization and detection of corners has become a difficult task to accomplish under such imperfect situations. On the other hand, Fuzzy systems are well known for their efficient handling of impreciseness and incompleteness, which make them inherently suitable for modelling corner properties by means of a rule-based fuzzy system. The paper presents a corner detection algorithm which employs such fuzzy reasoning. The robustness of the proposed algorithm is compared to well-known conventional corner detectors and its performance is also tested over a number of benchmark images to illustrate the efficiency of the algorithm under uncertainty. " 2011.",,,,,,,,,"http://hdl.handle.net/20.500.12104/44302","http://www.scopus.com/inward/record.url?eid=2-s2.0-84855382620&partnerID=40&md5=15ef712500d69f47b834a2fd173b2120",,,,,,"4",,"Intelligent Automation and Soft Computing",,"415

429",,"17",,"Scopus

WOS",,,,,,"Corner detection; Fuzzy image filtering; Intelligent image processing; Noise reduction",,,,,,"Robust fuzzy corner detector",,"Article" "46122","123456789/35008",,"García-García, G., Nephrology Service, Hospital Civil de Guadalajara University of Guadalajara Health Sciences CenterGuadalajara, Jal, Mexico; Jha, V., Postgraduate Institute of Medical Education and ResearchChandigarh, India, George Institute for Global HealthNew Delhi, India, University of Oxford, United Kingdom",,"García-García, G.

Jha, V.",,"2015",,"[No abstract available]",,,,,,,,,"http://hdl.handle.net/20.500.12104/44343","http://www.scopus.com/inward/record.url?eid=2-s2.0-84924425838&partnerID=40&md5=eda7525511b29d737a6c3b3b7e05692f",,,,,,"3",,"Archives of Iranian Medicine",,"206

209",,"18",,"Scopus",,,,,,,,,,,,"Round the world: CKD in disadvantaged populations",,"Article" "46090","123456789/35008",,"Alcaraz-González, V., Universidad de Guadalajara, CUCEI, Guadalajara, Jalisco, Mexico; Fregoso-Sanchez, F.A., Universidad de Guadalajara, CUCEI, Guadalajara, Jalisco, Mexico; Mendez-Acosta, H.O., Universidad de Guadalajara, CUCEI, Guadalajara, Jalisco, Mexico; Gonzalez-Alvarez, V., Universidad de Guadalajara, CUCEI, Guadalajara, Jalisco, Mexico",,"Alcaraz-Gonzalez, V.

Fregoso-Sanchez, F.A.

Mendez-Acosta, H.O.

Gonzalez-Alvarez, V.",,"2013",,"In this paper, a multiple-input multiple-output (MIMO) model-based robust control scheme is proposed for the indirect control of both total alkalinity and the ratio (intermediate alkalinity)/(total alkalinity) by regulating volatile fatty acid concentrations and strong ions concentration, while guaranteeing the so-called operational stability in anaerobic digestion (AD) processes. The proposed MIMO regulator is an adaptive controller derived from an AD model which incorporates the physicochemical equilibrium of the system as well as the use of a robust interval observer to estimate key process bounds that are used in the computation of the control efforts. Numerical simulations were carried out for a number of operating conditions under the most uncertain scenarios. Results showed that the proposed multivariable control law is able to recover the system stability around a pre-determined set point in the face of parameter uncertainty and load disturbances. " 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.