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Adaptive learning control for bilinear parametric time-varying systems with unknown time-varying delays

机译:具有未知时变时滞的双线性参数时变系统的自适应学习控制

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An adaptive learning control strategy is developed for a class of bilinear parametric time-varying systems with mixed unknown time-varying and time-invariant parameters and unknown time-varying delay. The proposed control law includes a differential-difference coupled-type adaptive law used to estimate the unknown time-varying parameters and an adaptive repetitive learning control. By constructing a Lyapunov-Krasovskii energy function, we prove the stability of the closed loop system and the asymptotic convergence of the tracking error. The simulation results, for a bilinear parametric time-varying system confirm the effectiveness of the proposed control scheme.
机译:针对一类具有未知时变和时不变参数以及未知时变时延的双线性参数时变系统,开发了一种自适应学习控制策略。提出的控制律包括用于估计未知时变参数的微分-差分耦合型自适应律和自适应重复学习控制。通过构造一个Lyapunov-Krasovskii能量函数,我们证明了闭环系统的稳定性和跟踪误差的渐近收敛性。对于双线性参数时变系统的仿真结果证实了所提出控制方案的有效性。

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