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Adaptive Backstepping Control of Nonlinear Uncertain Systems With Quantized States

机译:具有量化状态的非线性不确定系统的自适应反演控制。

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This paper investigates the stabilization problem for uncertain nonlinear systems with quantized states. All states in the system are quantized by a static bounded quantizer, including uniform quantizer, hysteresis-uniform quantizer, and logarithmic-uniform quantizer as examples. An adaptive backstepping-based control algorithm, which can handle discontinuity, resulted from the state quantization and a new approach to stability analysis are developed by constructing a new compensation scheme for the effects of the state quantization. Besides showing the global ultimate boundedness of the system, the stabilization error performance is also established and can be improved by appropriately adjusting design parameters. Simulation results illustrate the effectiveness of our proposed scheme.
机译:本文研究了具有量化状态的不确定非线性系统的镇定问题。系统中的所有状态均由静态有界量化器进行量化,例如包括均匀量化器,磁滞均匀量化器和对数均匀量化器。针对状态量化的影响,建立了一种新的补偿方案,开发了一种自适应的基于反步的控制算法,该算法可以处理状态量化产生的不连续性,并开发了一种新的稳定性分析方法。除了显示系统的全局极限范围外,还可以建立稳定误差性能,并且可以通过适当调整设计参数来提高其稳定性。仿真结果说明了该方案的有效性。

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