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网络信号量化下不确定线性系统的积分滑模容错控制

Integral Sliding Mode Fault-Tolerant Control for Uncertain Linear Systems Over Networks With Signals Quantization.

出版信息

IEEE Trans Neural Netw Learn Syst. 2017 Sep;28(9):2088-2100. doi: 10.1109/TNNLS.2016.2574905. Epub 2016 Jun 13.

DOI:10.1109/TNNLS.2016.2574905
PMID:28129185
Abstract

In this paper, a new robust fault-tolerant compensation control method for uncertain linear systems over networks is proposed, where only quantized signals are assumed to be available. This approach is based on the integral sliding mode (ISM) method where two kinds of integral sliding surfaces are constructed. One is the continuous-state-dependent surface with the aim of sliding mode stability analysis and the other is the quantization-state-dependent surface, which is used for ISM controller design. A scheme that combines the adaptive ISM controller and quantization parameter adjustment strategy is then proposed. Through utilizing H control analytical technique, once the system is in the sliding mode, the nature of performing disturbance attenuation and fault tolerance from the initial time can be found without requiring any fault information. Finally, the effectiveness of our proposed ISM control fault-tolerant schemes against quantization errors is demonstrated in the simulation.

摘要

本文提出了一种新的鲁棒容错补偿控制方法,用于网络中的不确定线性系统,其中仅假设存在量化信号。该方法基于积分滑模(ISM)方法,其中构建了两种积分滑模面。一个是连续状态相关表面,目的是进行滑模稳定性分析,另一个是量化状态相关表面,用于 ISM 控制器设计。然后提出了一种将自适应 ISM 控制器和量化参数调整策略相结合的方案。通过利用 H 控制分析技术,一旦系统进入滑模状态,就可以从初始时间起发现执行干扰衰减和容错的性质,而无需任何故障信息。最后,在仿真中证明了我们提出的 ISM 控制容错方案对量化误差的有效性。

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