Panpan Yang*, Xingwen Chen, Xiangmo Zhao, and Maode Yan
International Journal of Control, Automation, and Systems, vol. 20, no. 8, pp.2641-2654, 2022

Abstract : The fixed time event-triggered tracking control for interconnected nonlinear uncertain systems, whose state variables are unmeasurable, is investigated via an observer-based approach. The unmeasurable states are estimated by the designed neural observer under the fixed time stability criterion, and the uncertain interconnections are compensated by a smooth function. Then, a novel tracking error-based event-triggered strategy is employed to reduce the communication frequency of the control signal. By means of radial basis function (RBF) neural networks (NNs) to approximate the unknown nonlinearities, a fixed time event-triggered controller is designed to guarantee the convergence of tracking error to the origin in a fixed time. Finally, the proposed technique is verified by some numerical simulations.

Keyword : Event-triggered mechanism, fixed time tracking control, interconnected nonlinear uncertain system, observer, RBF NNs.

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