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dc.coverage.spatialBogotá, Colombiaspa
dc.creatorZouari, Farouk
dc.creatorIbeas, Asier
dc.creatorBoulkroune, Abdesselem
dc.creatorCao, Jinde
dc.creatorArefif, Mohammad Mehdi
dc.date.accessioned2020-04-14T17:00:36Z
dc.date.available2020-04-14T17:00:36Z
dc.date.created2019
dc.identifier.otherhttps://doi.org/10.1016/j.ins.2019.01.078
dc.identifier.urihttp://hdl.handle.net/20.500.12010/8772
dc.description.abstractThis paper studies the design of neuro - adaptive tracking control schemes for non-integer order non-square systems subject to time-varying output constraints and input nonlin- earities. It should first be stated that by employing the mean-value theorem, the original non-affine non-square system with actuator nonlinearities is converted into an equivalent affine square form. Neural networks, Barrier Lyapunov Functions and Nussbaum functions are then incorporated to overcome the difficulties raised by the uncertain nonlinear dy- namics, output constraints and unknown control directions, respectively. In a further step, in order to systematically derive the control signals and updating laws, the Backstepping technique is applied. It is shown that by using the proposed adaptive controller, the semi- global asymptotic tracking and the boundedness of all variables in the closed-loop system are guaranteed without transgression of the constraints. The foremost contributions of this paper include: (1) by means of new lemmas and corollaries based on Caputo fractional derivative definitions, techniques and approaches related to the stability analysis and con- trollability of integer-order plants are extended to fractional-order non-square ones, and (2) the ‘explosion of complexity’ issue is fixed. Finally, simulation results are provided to reveal the effectiveness of the proposed control scheme.spa
dc.format.extent30 páginasspa
dc.format.mimetypeimage/jepgspa
dc.publisherUniversidad de Bogotá Jorge Tadeo Lozanospa
dc.subjectNon-integer (fractional) order non-square systemsspa
dc.subjectAdaptive controlspa
dc.subjectBarrierspa
dc.subjectLyapunov functionsspa
dc.subjectNeural networksspa
dc.subjectActuator nonlinearitiesspa
dc.subjectNussbaum functionsspa
dc.subjectBackstepping techniquespa
dc.titleNeuro-adaptive tracking control of non-integer order systems with input nonlinearities and time-varying output constraintsspa
dc.type.localArtículospa
dc.subject.lembComputación natural -- Investigacionesspa
dc.subject.lembNeuromórfica -- Investigacionesspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersioneng
dc.rights.localAbierto (Texto Completo)spa
dc.identifier.doihttps://doi.org/10.1016/j.ins.2019.01.078
dc.identifier.instnameinstname:Universidad de Bogotá Jorge Tadeo Lozanospa
dc.identifier.reponamereponame:Repositorio Institucional de la Universidad de Bogotá Jorge Tadeo Lozanospa


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