Data-driven control for dynamic quantized nonlinear systems with state constraints based on barrier functions

Wang, Xueli; Zhao, Shangwei; Wang, Xin; Yang, Ming; Wu, Xiaoming

doi:10.1016/j.ins.2023.119132

Information Sciences

2023

DOI: 10.1016/j.ins.2023.119132

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Data-driven control for dynamic quantized nonlinear systems with state constraints based on barrier functions

Xueli Wang,

Shangwei Zhao,

Xin Wang

et al.

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2023

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Cited by 2 publications

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State estimation for a class of nonlinear non‐Gaussian cyber–physical systems under false data injection attacks

Miao,

Yan,

Chen

et al. 2023

Asian Journal of Control

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In this article, we consider the state estimation problem for nonlinear cyber–physical systems with non‐Gaussian process noises under actuator false data injection attacks from the perspective of defenders. The process noises and actuator false data injection attacks herein are regarded as non‐Gaussian noises. Then, the prior density of the state is considered as a sum of Gaussians with unknown covariance matrixes. The partial variational Bayesian method is applied to approximate the unknown covariance matrixes, and the unscented Gaussian sum filter is used for state estimation as well as decreasing the computing complexity. Finally, some simulation results are presented to show the effectiveness of the proposed state estimation method.

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State estimation for a class of nonlinear non‐Gaussian cyber–physical systems under false data injection attacks

Miao,

Yan,

Chen

et al. 2023

Asian Journal of Control

View full text Add to dashboard Cite

show abstract

New trends of Artificial-Intelligence-based control, filtering, and optimization for industrial cyber-physical systems

Han

Ding

2023

Information Sciences

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Data-driven control for dynamic quantized nonlinear systems with state constraints based on barrier functions

Cited by 2 publications

References 46 publications

State estimation for a class of nonlinear non‐Gaussian cyber–physical systems under false data injection attacks

State estimation for a class of nonlinear non‐Gaussian cyber–physical systems under false data injection attacks

New trends of Artificial-Intelligence-based control, filtering, and optimization for industrial cyber-physical systems

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