Cited by 292Stability and Control of Uncertain SystemsAdaptive Control of Nonlinear SystemsNeural Networks Stability and Synchronization

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Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems

Sahoo, Avimanyu, Xu, Hao, Jagannathan, Sarangapani·2016·IEEE Transactions on Neural Networks and Learning Systems

DOI 10.1109/tnnls.2015.2416259

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Abstract

This paper presents a novel approximation-based event-triggered control of multi-input multi-output uncertain nonlinear continuous-time systems in affine form. The controller is approximated using a linearly parameterized neural network (NN) in the context of event-based sampling. After revisiting the NN approximation property in the context of event-based sampling, an event-triggered condition is proposed using the Lyapunov technique to reduce the network resource utilization and to generate the required number of events for the NN approximation. In addition, a novel weight update law for aperiodic tuning of the NN weights at triggered instants is proposed to relax the knowledge of complete system dynamics and to reduce the computation when compared with the traditional NN-based control. Nonetheless, a nonzero positive lower bound for the inter-event times is guaranteed to avoid the accumulation of events or Zeno behavior. For analyzing the stability, the event-triggered system is modeled as a nonlinear impulsive dynamical system and the Lyapunov technique is used to show local ultimate boundedness of all signals. Furthermore, in order to overcome the unnecessary triggered events when the system states are inside the ultimate bound, a dead-zone operator is used to reset the event-trigger errors to zero. Finally, the analytical design is substantiated with numerical results.

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Approximation by superpositions of a sigmoidal function
Cybenko, G. (1989) · Mathematics of Control, Signals, and Systems · doi:10.1007/bf02551274 · Cited by 13,883
Event-Triggered Real-Time Scheduling of Stabilizing Control Tasks
Paulo Tabuada, B. (2007) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2007.904277 · Cited by 4,756
Neural Network Control Of Robot Manipulators And Non-Linear Systems
Lewis, F. L., Jagannathan, S., & Yesildirak, A. (2020) · CRC Press eBooks · doi:10.1201/9781003062714 · Cited by 1,872
Self-citation
Hybrid Dynamical Systems
Goebel, R., Sanfelice, R. G., & Teel, A. R. (2009) · IEEE Control Systems · doi:10.1109/mcs.2008.931718 · Cited by 1,656
Event-Triggering in Distributed Networked Control Systems
Wang, X., & Lemmon, M. D. (2010) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2010.2057951 · Cited by 1,171
A state-feedback approach to event-based control
Lunze, J., & Lehmann, D. (2009) · Automatica · doi:10.1016/j.automatica.2009.10.035 · Cited by 1,024
Adaptive Control Tutorial
Ioannou, P., & Fi̇dan, B. (2006) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9780898718652 · Cited by 977
Output-Based Event-Triggered Control With Guaranteed ${\cal L}_{\infty}$-Gain and Improved and Decentralized Event-Triggering
Donkers, M. C. F., & Heemels, W. P. M. H. (2011) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2011.2174696 · Cited by 872
To Sample or not to Sample: Self-Triggered Control for Nonlinear Systems
Anta, A., & Paulo Tabuada, B. (2010) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2010.2042980 · Cited by 871
Comparison of periodic and event based sampling for first-order stochastic systems
Åström, K. J., & Bernhardsson, B. (1999) · IFAC Proceedings Volumes · doi:10.1016/s1474-6670(17)56852-4 · Cited by 826

Show all 25 references

Research works printed but not linked: 2

wang, 2010, ${\mathcal{ L}}_{1}$ adaptive control of event-triggered networked systems, Proc Amer Control Conf, 2458
khalil, 2002, Nonlinear Systems

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Authors: Sahoo, A., Xu, H., & Jagannathan, S.
Affiliations: Missouri University of Science and Technology (US)
Texas A&M University – Corpus Christi (US)
ORCID: Sahoo, Avimanyu
Xu, Hao
Jagannathan, Sarangapani
Venue: IEEE Transactions on Neural Networks and Learning Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2016-03
Volume: 27
Issue: 3
Pages: 497-509
ISSN: 2162-237X (ISSN-L)
2162-2388
DOI: 10.1109/tnnls.2015.2416259
OpenAlex: W1978921618
Cited by: 292
References: 25
Citations by year: 2026: 7 · 2025: 27 · 2024: 15 · 2023: 34 · 2022: 29 · 2021: 41 · 2020: 33 · 2019: 30 · 2018: 28 · 2017: 27 · 2016: 19
FWCI: 23.14
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (am)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
Locations: IEEE Transactions on Neural Networks and Learning Systems (publishedVersion)
PubMed (publishedVersion)
Funders: Intelligent Systems Center, Missouri University of Science and Technology, Rolla, MO, USA
National Science Foundation (ECCS 1406533)
Topics: Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
Physical Sciences › Engineering › Control and Systems Engineering › Adaptive Control of Nonlinear Systems
Physical Sciences › Engineering › Control and Systems Engineering › Neural Networks Stability and Synchronization
Keywords: event-triggered control, neural network approximation, continuous-time nonlinear systems, MIMO, affine systems, state feedback control, Zeno behavior avoidance, inter-event time lower bound

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Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems

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