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Yangang Yao,Jieqing Tan,Jian Wu 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.1
In this article, the problem of adaptive finite-time prescribed performance control (FTPPC) is discussed for stochastic non-triangular structure time-delay systems. The mean value theorem (MVT) is employed to convert the non-triangular structure systems to the equivalent systems with affine structure. A finite-time performance function (FTPF) is constructed to guarantee that the system achieves the predefined tracking accuracy within a finite time. Combining the FIPF and adaptive neural network (NN) technology, a newly controller is presented, under which both the specified tracking accuracy and convergence time can be ensured, and the whole variables in the closed-loop system are bounded in probability. Simulation results verify the effectiveness and suitability of the scheme.