Observer-based sliding mode control for stochastic hyperbolic PDE systems with quantized output signal

作者:

Highlights:

• Based on the above discussion, we can find that fruitful results have been achieved for PDE systems. Various control approaches including sampled control, output feedback control, etc., have been proposed. However, sliding mode control remains an open issue for PDE systems. This is the first paper to investigate distributed sliding mode control for stochastic hyperbolic PDE systems, which can provide better disturbance attenuation performance compared with state feedback and output feedback control;

• Network transmission provides much merits for system design, such as high reliability, simple installation, etc. However, it is also necessary to consider the quantization error during the process of transmission. Thus, a quantized state estimator is designed to obtain the system?s states instead of the traditional observer.

摘要

•Based on the above discussion, we can find that fruitful results have been achieved for PDE systems. Various control approaches including sampled control, output feedback control, etc., have been proposed. However, sliding mode control remains an open issue for PDE systems. This is the first paper to investigate distributed sliding mode control for stochastic hyperbolic PDE systems, which can provide better disturbance attenuation performance compared with state feedback and output feedback control;•Network transmission provides much merits for system design, such as high reliability, simple installation, etc. However, it is also necessary to consider the quantization error during the process of transmission. Thus, a quantized state estimator is designed to obtain the system?s states instead of the traditional observer.

论文关键词:Quantized output signal,State observer,Stochastic PDE systems,Sliding mode control

论文评审过程:Received 8 June 2019, Revised 7 April 2020, Accepted 22 August 2020, Available online 19 November 2020, Version of Record 19 November 2020.

论文官网地址:https://doi.org/10.1016/j.amc.2020.125643