000084148 001__ 84148
000084148 005__ 20200513005825.0
000084148 0247_ $$2doi$$a10.1016/j.isatra.2018.09.024
000084148 0248_ $$2sideral$$a108807
000084148 037__ $$aART-2018-108807
000084148 041__ $$aeng
000084148 100__ $$0(orcid)0000-0002-4669-8374$$aGonzalez, A.$$uUniversidad de Zaragoza
000084148 245__ $$aGain-scheduled predictive extended state observer for time-varying delays systems with mismatched disturbances
000084148 260__ $$c2018
000084148 5060_ $$aAccess copy available to the general public$$fUnrestricted
000084148 5203_ $$aIn this paper, a novel control scheme for systems with input and output time-varying delays is provided in discrete-time domain. The control strategy combines predictor-like techniques with a delay-dependent gain-scheduled extended state observer. The main goal is twofold: (i) to minimize the negative effect of time-varying delays in the closed-loop performance and, (ii) to actively compensate the effect of mismatched disturbances in the controlled output. Moreover, a sufficient condition based on Linear Matrix Inequalities (LMI) is provided to obtain the maximum delay interval that ensures the stability of the closed-loop system. Finally, the achieved benefits of the proposal are shown by simulation in open-loop unstable plants, and experimentally validated in a test-bed quadrotor platform.
000084148 536__ $$9info:eu-repo/grantAgreement/EC/H2020/740736/EU/C2 Advanced Multi-domain Environment and Live Observation Technologies/CAMELOT$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 740736-CAMELOT$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/DPI2015-69376-R$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2017-86520-C3-1-R
000084148 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000084148 590__ $$a4.343$$b2018
000084148 591__ $$aAUTOMATION & CONTROL SYSTEMS$$b14 / 62 = 0.226$$c2018$$dQ1$$eT1
000084148 591__ $$aENGINEERING, MULTIDISCIPLINARY$$b8 / 88 = 0.091$$c2018$$dQ1$$eT1
000084148 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b6 / 61 = 0.098$$c2018$$dQ1$$eT1
000084148 592__ $$a1.163$$b2018
000084148 593__ $$aApplied Mathematics$$c2018$$dQ1
000084148 593__ $$aInstrumentation$$c2018$$dQ1
000084148 593__ $$aElectrical and Electronic Engineering$$c2018$$dQ1
000084148 593__ $$aComputer Science Applications$$c2018$$dQ1
000084148 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000084148 700__ $$aBalaguer, V.
000084148 700__ $$aGarcia, P.
000084148 700__ $$aCuenca, A.
000084148 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000084148 773__ $$g84 (2018), 206 - 213$$pISA trans.$$tISA TRANSACTIONS$$x0019-0578
000084148 8564_ $$s562007$$uhttps://zaguan.unizar.es/record/84148/files/texto_completo.pdf$$yPostprint
000084148 8564_ $$s509556$$uhttps://zaguan.unizar.es/record/84148/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000084148 909CO $$ooai:zaguan.unizar.es:84148$$particulos$$pdriver
000084148 951__ $$a2020-05-13-00:51:15
000084148 980__ $$aARTICLE