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Adaptive Robust Control for a Class of Uncertain Nonlinear System with Input and State Quantization

机译: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,我们针对一类不确定的非线性系统提出了一种自适应鲁棒控制方案,该系统具有状态和输入量化条件下的不确定参数和扰动。量化器可以是统一量化器或对数量化器的任何形式,只要量化误差满足扇区边界条件即可。在设计的控制律中,状态量化误差被视为未建模的动态信号,并通过附加反馈项进行补偿。理论和仿真结果均表明,在所设计的控制器下,尽管存在不确定性和量化问题,但所有信号都是有界的,并且系统的输出会跟踪参考命令,并跟踪与量化密度有关的误差。

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