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Key Words:TRACKING CONTROL; BACKSTEPPING DESIGN; NEURAL-CONTROL; FUZZY CONTROL; STABILIZATION; STABILITY

Abstract:For the tracking control problem of a class of switched nonlinear systems with input delay, this article proposes an adaptive tracking control scheme based on multi-dimensional Taylor network (MTN) approach. First, Pade approximation and Laplace transform are employed to overcome the problem of input delay, and a new iable is introduced. Second, the MTNs are used to approximate the uncertain nonlinear structures in the process of controller design via backstepping. The results show that the controller designed in this article can keep all the signals in the closed-loop system are bounded, meanwhile, the output tracking error can be converged to arbitrarily small. It should be pointed out that MTN-based approach is applied to switched nonlinear systems subject to input delay for the first time. Finally, three examples are presented to verify the effectiveness of the proposed control strategy.

Volume:36

Issue:3

Translation or Not:no

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