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

Vijay Kumar Singh, Shyam Kamal, Sandip Ghosh

2024International Journal of Adaptive Control and Signal Processing12 citationsDOI

Abstract

Summary In 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 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.

Topics & Concepts

BacksteppingControl theory (sociology)IntegratorNonlinear systemParametric statisticsComputer scienceStrict-feedback formLyapunov stabilityConvergence (economics)Adaptive controlLyapunov functionClass (philosophy)Stability (learning theory)Scheme (mathematics)Control (management)MathematicsArtificial intelligenceBandwidth (computing)Quantum mechanicsMachine learningStatisticsMathematical analysisEconomicsPhysicsComputer networkEconomic growthAdaptive Control of Nonlinear SystemsAdaptive Dynamic Programming ControlStability and Controllability of Differential Equations