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Robust Adaptive Sampled-Data Control Scheme for a Class of Uncertain Nonlinear Systems

机译:一类不确定非线性系统的鲁棒自适应采样数据控制方案

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摘要

In this paper, a simple robust adaptive sampled-data control law is addressed for a class of uncertain continuous-time systems. For achieving this goal, firstly, the regulation problem and H-infinity control designs would be formulated in the uncertain continuous-time systems via including a sampler and data-hold circuits. Then, a robust adaptive digital control law will be derived by using the discrete-time Lyapunov's stability theory. The results are numerically implemented in two nonlinear uncertain systems. The simulations show the effectiveness of the proposed robust adaptive digital control method compared with the other techniques.
机译:本文针对一类不确定的连续时间系统解决了简单的鲁棒自适应采样数据控制定律。为了实现这一目标,首先,将在不确定的连续时间系统通过包括采样器和数据保持电路的不确定连续时间系统中配制调节问题和H-Infinity控制设计。然后,通过使用离散时间Lyapunov的稳定性理论来得出强大的自适应数字控制法。结果在两种非线性不确定系统中进行了数量地实现。与其他技术相比,模拟显示了所提出的鲁棒自适应数字控制方法的有效性。

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