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https://hdl.handle.net/2440/83171
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DC Field | Value | Language |
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dc.contributor.author | Wang, M. | - |
dc.contributor.author | Chen, B. | - |
dc.contributor.author | Shi, P. | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | IEEE Transactions on Cybernetics, 2008; 38(3):721-730 | - |
dc.identifier.issn | 1083-4419 | - |
dc.identifier.issn | 1941-0492 | - |
dc.identifier.uri | http://hdl.handle.net/2440/83171 | - |
dc.description.abstract | This paper proposes a novel adaptive neural control scheme for a class of perturbed strict-feedback nonlinear time-delay systems with unknown virtual control coefficients. Based on the radial basis function neural network online approximation capability, an adaptive neural controller is presented by combining the backstepping approach and Lyapunov-Krasovskii functionals. The proposed controller guarantees the semiglobal boundedness of all the signals in the closed-loop system and contains minimal learning parameters. Finally, three simulation examples are given to demonstrate the effectiveness and applicability of the proposed scheme. | - |
dc.description.statementofresponsibility | Min Wang, Bing Chen, and Peng Shi | - |
dc.language.iso | en | - |
dc.publisher | IEEE-Inst Electrical Electronics Engineers Inc | - |
dc.rights | © 2008 IEEE | - |
dc.source.uri | http://dx.doi.org/10.1109/tsmcb.2008.918568 | - |
dc.subject | Models, Statistical | - |
dc.subject | Algorithms | - |
dc.subject | Time Factors | - |
dc.subject | Feedback | - |
dc.subject | Computer Simulation | - |
dc.subject | Signal Processing, Computer-Assisted | - |
dc.subject | Neural Networks, Computer | - |
dc.title | Adaptive neural control for a class of perturbed strict-feedback nonlinear time-delay systems | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1109/TSMCB.2008.918568 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Shi, P. [0000-0001-8218-586X] | - |
Appears in Collections: | Aurora harvest 4 Electrical and Electronic Engineering publications |
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