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首页> 外文期刊>Neural Networks and Learning Systems, IEEE Transactions on >Integral Sliding Mode Fault-Tolerant Control for Uncertain Linear Systems Over Networks With Signals Quantization
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Integral Sliding Mode Fault-Tolerant Control for Uncertain Linear Systems Over Networks With Signals Quantization

机译：具有信号量化的不确定线性系统的集成滑模容错控制

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摘要

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 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.
机译：本文提出了一种新的鲁棒容错补偿控制方法，用于不确定的线性网络系统，其中仅假定量化信号可用。该方法基于整体滑动模式（ISM）方法，其中构造了两种整体滑动表面。一个是与连续状态有关的表面，旨在进行滑模稳定性分析，另一个是与量化状态有关的表面，用于ISM控制器设计。然后提出了一种将自适应ISM控制器与量化参数调整策略相结合的方案。通过利用控制分析技术，一旦系统处于滑模状态，就可以发现从初始时间起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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