88377 20200716101430.0 doi 10.1016/j.ins.2019.03.081 sideral 111424 ART-2019-111424 eng (orcid)0000-0002-4669-8374 González, A. Universidad de Zaragoza Event-triggered predictor-based control with gain-Scheduling and extended state observer for networked control systems 2019 Access copy available to the general public Unrestricted This 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. info:eu-repo/grantAgreement/EC/H2020/740736/EU/C2 Advanced Multi-domain Environment and Live Observation Technologies/CAMELOT This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 740736-CAMELOT info:eu-repo/grantAgreement/ES/MINECO-FEDER/DPI2015-69376-R info:eu-repo/grantAgreement/ES/MINECO/TIN2014-56158-C4-4-P-AR info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 5.91 2019 1.723 2019 COMPUTER SCIENCE, INFORMATION SYSTEMS 9 / 156 = 0.058 2019 Q1 T1 Artificial Intelligence 2019 Q1 Computer Science Applications 2019 Q1 Theoretical Computer Science 2019 Q1 Information Systems and Management 2019 Q1 Software 2019 Q1 Control and Systems Engineering 2019 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Cuenca, A. Balaguer, V. García, P. 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 491 (2019), 90-108 Inf. sci. Information Sciences 0020-0255 873800 http://zaguan.unizar.es/record/88377/files/texto_completo.pdf Postprint 209301 http://zaguan.unizar.es/record/88377/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:88377 articulos driver 2020-07-16-08:48:44 ARTICLE