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Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.automatica.2006.08.003
DC FieldValue
dc.titleApproximation-based control of nonlinear MIMO time-delay systems
dc.contributor.authorGe, S.S.
dc.contributor.authorTee, K.P.
dc.date.accessioned2014-06-17T02:39:38Z
dc.date.available2014-06-17T02:39:38Z
dc.date.issued2007-01
dc.identifier.citationGe, S.S., Tee, K.P. (2007-01). Approximation-based control of nonlinear MIMO time-delay systems. Automatica 43 (1) : 31-43. ScholarBank@NUS Repository. https://doi.org/10.1016/j.automatica.2006.08.003
dc.identifier.issn00051098
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/55139
dc.description.abstractApproximation-based control is presented for a class of multi-input multi-output (MIMO) nonlinear systems in block-triangular form with unknown state delays. Neural networks (NNs) are utilized to approximate and compensate for unknown functions in the system dynamics, including the unknown bounds of the functions of delayed states. The use of a separation technique removes the need for any assumption on the function of delayed states, and allows the handling of multiple delays in each function of delayed states. By combining the use of Lyapunov-Krasovskii functionals and adaptive NN backstepping, the proposed control guarantees that all closed-loop signals remain bounded, while the outputs converge to a neighborhood of the desired trajectories. Simulation results demonstrate the effectiveness of the proposed scheme. © 2006 Elsevier Ltd. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.automatica.2006.08.003
dc.sourceScopus
dc.subjectAdaptive neural control
dc.subjectLyapunov-Krasovskii functional
dc.subjectNonlinear MIMO system
dc.subjectUncertain time-delay systems
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1016/j.automatica.2006.08.003
dc.description.sourcetitleAutomatica
dc.description.volume43
dc.description.issue1
dc.description.page31-43
dc.description.codenATCAA
dc.identifier.isiut000243125600003
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