000088377 001__ 88377
000088377 005__ 20200716101430.0
000088377 0247_ $$2doi$$a10.1016/j.ins.2019.03.081
000088377 0248_ $$2sideral$$a111424
000088377 037__ $$aART-2019-111424
000088377 041__ $$aeng
000088377 100__ $$0(orcid)0000-0002-4669-8374$$aGonzález, A.$$uUniversidad de Zaragoza
000088377 245__ $$aEvent-triggered predictor-based control with gain-Scheduling and extended state observer for networked control systems
000088377 260__ $$c2019
000088377 5060_ $$aAccess copy available to the general public$$fUnrestricted
000088377 5203_ $$aThis paper investigates the stabilization of Networked Control Systems (NCS) with mismatched disturbances through a novel Event-Triggered Control (ETC), composed of a predictor-feedback scheme and a gain-scheduled Extended State Observer (ESO). The key idea of the proposed control strategy is threefold: (i) to reduce resource usage in the NCS (bandwidth, energy) while maintaining a satisfactory control performance; (ii) to counteract the main negative effects of NCS: time-varying delays, packet dropouts, packet disorder, and (iii) to reject the steady-state error in the controlled output due to mismatched disturbances. Moreover, we address the co-design of the controller/observer gains, together with the event-triggered parameters, by means of Linear Matrix Inequalities (LMI) and Cone Complementarity Linearization (CCL) approaches. Finally, we illustrate the effectiveness of the proposed control synthesis by simulation and experimental results in a Unmanned Aerial Vehicle (UAV) based test-bed platform.
000088377 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/TIN2014-56158-C4-4-P-AR
000088377 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000088377 590__ $$a5.91$$b2019
000088377 592__ $$a1.723$$b2019
000088377 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b9 / 156 = 0.058$$c2019$$dQ1$$eT1
000088377 593__ $$aArtificial Intelligence$$c2019$$dQ1
000088377 593__ $$aComputer Science Applications$$c2019$$dQ1
000088377 593__ $$aTheoretical Computer Science$$c2019$$dQ1
000088377 593__ $$aInformation Systems and Management$$c2019$$dQ1
000088377 593__ $$aSoftware$$c2019$$dQ1
000088377 593__ $$aControl and Systems Engineering$$c2019$$dQ1
000088377 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000088377 700__ $$aCuenca, A.
000088377 700__ $$aBalaguer, V.
000088377 700__ $$aGarcía, P.
000088377 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000088377 773__ $$g491 (2019), 90-108$$pInf. sci.$$tInformation Sciences$$x0020-0255
000088377 8564_ $$s873800$$uhttps://zaguan.unizar.es/record/88377/files/texto_completo.pdf$$yPostprint
000088377 8564_ $$s209301$$uhttps://zaguan.unizar.es/record/88377/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000088377 909CO $$ooai:zaguan.unizar.es:88377$$particulos$$pdriver
000088377 951__ $$a2020-07-16-08:48:44
000088377 980__ $$aARTICLE