Adaptive consensus of uncertain nonlinear systems with event triggered communication and intermittent actuator faults

This paper investigates distributed consensus tracking problem for uncertain nonlinear systems with event-triggered communication. The common desired trajectory information and each subsystem's state will be broadcast to their linked subsystems only when predefined triggering conditions are sat...

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Main Authors: Wang, Wei, Wen, Changyun, Huang, Jiangshuai, Zhou, Jing
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/152107
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1521072021-09-09T05:31:49Z Adaptive consensus of uncertain nonlinear systems with event triggered communication and intermittent actuator faults Wang, Wei Wen, Changyun Huang, Jiangshuai Zhou, Jing School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Distributed Adaptive Control Consensus This paper investigates distributed consensus tracking problem for uncertain nonlinear systems with event-triggered communication. The common desired trajectory information and each subsystem's state will be broadcast to their linked subsystems only when predefined triggering conditions are satisfied. Compared with the existing related literature, the main features of the results presented in this paper include four folds. (i) A totally distributed adaptive control scheme is developed for multiple nonlinear systems without Lipschitz condition, while with parametric uncertainties. (ii) The derivative of desired trajectory function is allowed unknown by all subsystems and directed communication condition is considered. (iii) The designed event triggering conditions do not require either continuous monitoring of neighboring subsystems’ states or global graph information available by all subsystems. (iv) The results are successfully extended to the case with uncertain intermittent actuator faults by modifying both local control laws and adaptive laws. It is shown that for both fault-free and faulty cases, all closed-loop signals are ensured globally uniformly bounded and the tracking errors of all subsystems states will converge to a compact set. Besides, the tracking performance in the mean square error sense can be improved by appropriately adjusting design parameters. This work was supported by National Key Research and Development Program of China under grant no. 2018AAA0101100, and National Natural Science Foundation of China under Grants 61973017, 61673035, and 61703061. 2021-09-09T05:31:49Z 2021-09-09T05:31:49Z 2019 Journal Article Wang, W., Wen, C., Huang, J. & Zhou, J. (2019). Adaptive consensus of uncertain nonlinear systems with event triggered communication and intermittent actuator faults. Automatica, 111, 108667-. https://dx.doi.org/10.1016/j.automatica.2019.108667 0005-1098 https://hdl.handle.net/10356/152107 10.1016/j.automatica.2019.108667 2-s2.0-85074134455 111 108667 en Automatica © 2019 Elsevier Ltd. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Distributed Adaptive Control
Consensus
spellingShingle Engineering::Electrical and electronic engineering
Distributed Adaptive Control
Consensus
Wang, Wei
Wen, Changyun
Huang, Jiangshuai
Zhou, Jing
Adaptive consensus of uncertain nonlinear systems with event triggered communication and intermittent actuator faults
description This paper investigates distributed consensus tracking problem for uncertain nonlinear systems with event-triggered communication. The common desired trajectory information and each subsystem's state will be broadcast to their linked subsystems only when predefined triggering conditions are satisfied. Compared with the existing related literature, the main features of the results presented in this paper include four folds. (i) A totally distributed adaptive control scheme is developed for multiple nonlinear systems without Lipschitz condition, while with parametric uncertainties. (ii) The derivative of desired trajectory function is allowed unknown by all subsystems and directed communication condition is considered. (iii) The designed event triggering conditions do not require either continuous monitoring of neighboring subsystems’ states or global graph information available by all subsystems. (iv) The results are successfully extended to the case with uncertain intermittent actuator faults by modifying both local control laws and adaptive laws. It is shown that for both fault-free and faulty cases, all closed-loop signals are ensured globally uniformly bounded and the tracking errors of all subsystems states will converge to a compact set. Besides, the tracking performance in the mean square error sense can be improved by appropriately adjusting design parameters.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Wang, Wei
Wen, Changyun
Huang, Jiangshuai
Zhou, Jing
format Article
author Wang, Wei
Wen, Changyun
Huang, Jiangshuai
Zhou, Jing
author_sort Wang, Wei
title Adaptive consensus of uncertain nonlinear systems with event triggered communication and intermittent actuator faults
title_short Adaptive consensus of uncertain nonlinear systems with event triggered communication and intermittent actuator faults
title_full Adaptive consensus of uncertain nonlinear systems with event triggered communication and intermittent actuator faults
title_fullStr Adaptive consensus of uncertain nonlinear systems with event triggered communication and intermittent actuator faults
title_full_unstemmed Adaptive consensus of uncertain nonlinear systems with event triggered communication and intermittent actuator faults
title_sort adaptive consensus of uncertain nonlinear systems with event triggered communication and intermittent actuator faults
publishDate 2021
url https://hdl.handle.net/10356/152107
_version_ 1710686944795557888