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Predefined-time adaptive backstepping control for a class of nonlinear dynamical systems with parametric uncertainties

dc.contributor.authorSingh V.K.; Kamal S.; Ghosh S.
dc.date.accessioned2025-05-23T11:13:40Z
dc.description.abstractIn this article, we address the problem of achieving predefined-time control for a class of nonlinear dynamical systems with parameter uncertainties. We introduce an adaptive predefined-time control algorithm based on integrator backstepping for (Formula presented.) th order nonlinear systems. Using Lyapunov's stability theory, we establish that the proposed predefined time control approach, combined with an adaptive law, ensures the boundedness of all signals within the closed-loop system. A notable advantage of our method is its potential to achieve convergence within a predetermined time frame. To validate our approach's efficacy, we present a practical example involving a 2 DOF helicopter, demonstrating the effectiveness of the proposed scheme. © 2024 John Wiley & Sons Ltd.
dc.identifier.doihttps://doi.org/10.1002/acs.3745
dc.identifier.urihttp://172.23.0.11:4000/handle/123456789/6100
dc.relation.ispartofseriesInternational Journal of Adaptive Control and Signal Processing
dc.titlePredefined-time adaptive backstepping control for a class of nonlinear dynamical systems with parametric uncertainties

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