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Adaptive robust control for a class of uncertain nonlinear system with input and state quantization

机译:一种具有输入和状态量化的一类不确定非线性系统的自适应鲁棒控制

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In this paper, we present an adaptive robust control scheme for a class of uncertain nonlinear system with both uncertain parameters and disturbance under state and input quantization. The quantizers can be any form of uniform quantizers or logarithmic quantizers as long as the quantization error satisfies the sector-bounded condition. In the designed control law, the state quantization error is regard as un-modeled dynamic and compensated by an addition feedback term. Both theoretic and simulation results show that under the designed controller, in spite of uncertainties and quantization, all signal is bounded and the outputs of the system track the reference command with tracking errors in relation to quantization density.
机译:在本文中,我们为一类不确定的非线性系统提供了一种自适应鲁棒控制方案,其具有不确定的参数和状态下的扰动和输入量化。只要量化误差满足扇区有界条件,量化器可以是任何形式的均匀量化器或对数量化器。在设计的控制法中,状态量化误差被视为未建模的动态和通过添加反馈术语补偿。无论是理论和仿真结果,都表明,在设计的控制器下,尽管有不确定度和量化,但所有信号都被界限,并且系统的输出跟踪了与量化密度相关的跟踪误差。

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