S
Songyin Cao
Researcher at Yangzhou University
Publications - 38
Citations - 602
Songyin Cao is an academic researcher from Yangzhou University. The author has contributed to research in topics: Control theory & Inertial navigation system. The author has an hindex of 11, co-authored 34 publications receiving 505 citations. Previous affiliations of Songyin Cao include Beihang University & Southeast University.
Papers
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Journal ArticleDOI
Anti-disturbance control theory for systems with multiple disturbances: a survey.
Lei Guo,Songyin Cao,Songyin Cao +2 more
TL;DR: A review on anti-disturbance control for systems with multiple disturbances is presented and recent advances in disturbance observer based control (DOBC) theory are introduced and especially the composite hierarchical anti- Disturbance Control (CHADC) is addressed.
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Fault tolerant control with disturbance rejection and attenuation performance for systems with multiple disturbances
Songyin Cao,Lei Guo,Xinyu Wen +2 more
TL;DR: In this article, an anti-disturbance fault tolerant control (FTC) scheme is presented for a class of nonlinear systems with both faults and multiple disturbances, where the multiple disturbances are supposed to include two types including the uncertain modeled disturbances and norm bounded uncertain disturbances.
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Multi-objective robust initial alignment algorithm for Inertial Navigation System with multiple disturbances☆
Songyin Cao,Songyin Cao,Lei Guo +2 more
TL;DR: In this paper, a robust multi-objective filter is constructed for the concerned Inertial Navigation System with disturbance rejection and attenuation performance, where the drift estimations are applied to reject the inertial sensor drifts and mixed H 2 /H ∞ filter is adopted to attenuate Gaussian noises and norm bounded disturbances.
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Initial alignment for nonlinear inertial navigation systems with multiple disturbances based on enhanced anti-disturbance filtering
TL;DR: The INS error model with both nonlinear dynamics and multiple disturbances is established and the initial alignment problem is transformed into a robust nonlinear filter design problem for a class of nonlinear systems with multiple disturbances.
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Anti-disturbance fault diagnosis for non-Gaussian stochastic distribution systems with multiple disturbances
TL;DR: An anti-disturbance fault diagnosis scheme is proposed for non-Gaussian stochastic distribution systems (SDSs) with multiple disturbances that are supposed to include unknown disturbance modeled by an exo-system and norm bounded uncertain disturbances.