González Sorribes, A.; Cuenca Lacruz, ÁM.; Balaguer Garín, V.; García Gil, PJ. (2019). Event-triggered predictor-based control with gain-scheduling and extended state observer for networked control systems. Information Sciences. 491:90-108. https://doi.org/10.1016/j.ins.2019.03.081
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/213149
Título:
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Event-triggered predictor-based control with gain-scheduling and extended state observer for networked control systems
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Autor:
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González Sorribes, Antonio
Cuenca Lacruz, Ángel Miguel
Balaguer Garín, Vicente
García Gil, Pedro José
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Entidad UPV:
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Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
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Fecha difusión:
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Resumen:
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[EN] 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 ...[+]
[EN] 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.
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Palabras clave:
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Time-varying delay
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Networked control system
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Packet disorder
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Packet loss
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Predictor-based control
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Gain-scheduling
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ESO
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Derechos de uso:
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Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
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Fuente:
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Information Sciences. (issn:
0020-0255
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DOI:
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10.1016/j.ins.2019.03.081
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Editorial:
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Elsevier
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Versión del editor:
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https://doi.org/10.1016/j.ins.2019.03.081
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Código del Proyecto:
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info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-86520-C3-1-R/ES/SISTEMAS INFORMATICOS PREDECIBLES Y CONFIABLES PARA LA INDUSTRIA 4.0/
...[+]
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-86520-C3-1-R/ES/SISTEMAS INFORMATICOS PREDECIBLES Y CONFIABLES PARA LA INDUSTRIA 4.0/
info:eu-repo/grantAgreement/EC/H2020/740736/EU/C2 Advanced Multi-domain Environment and Live Observation Technologies/
info:eu-repo/grantAgreement/MINECO//DPI2015-69376-R/ES/COORDINACION Y VISION DISTRIBUIDA DE SISTEMAS MULTI-ROBOT PARA EXPLORACION REMOTA/
info:eu-repo/grantAgreement/Fundación Universitaria Antonio Gargallo//2018%2FB004/ES/Retos y soluciones frente a los retrasos temporales en aplicaciones de control en red/
info:eu-repo/grantAgreement/UPV//35606844-S/ES/Ayudas de la convocatoria 2017 de contratos predoctorales del Programa para la Formación de Personal Investigador (FPI) de la Universitat Politècnica de València
info:eu-repo/grantAgreement/UPV//PAID-01-17/ES/Contratos Pre-Doctorales UPV 2017- Subprograma 1
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Agradecimientos:
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This work was partially supported by projects DPI2015-69376-R (Gobierno de España/European Union), Project 2018/B004 (Fundación Universitaria Antonio Gargallo), TIN2014-56158-C4-4-P-AR (Ministerio de Economia y Competitividad, ...[+]
This work was partially supported by projects DPI2015-69376-R (Gobierno de España/European Union), Project 2018/B004 (Fundación Universitaria Antonio Gargallo), TIN2014-56158-C4-4-P-AR (Ministerio de Economia y Competitividad, Spain), FPI-UPV 2017 PAID-01-17 (Universitat Politècnica de València) and European Commission as part of Project H2020-SEC-2016-2017, Topic: SEC-20-BES-2016-Id: 740736- C2 Advanced Multi-domain Environment and Live Observation Technologies .
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Tipo:
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Artículo
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