Y
Yu Kang
Researcher at University of Science and Technology of China
Publications - 274
Citations - 4035
Yu Kang is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: Computer science & Nonlinear system. The author has an hindex of 27, co-authored 231 publications receiving 2427 citations. Previous affiliations of Yu Kang include Chinese Academy of Sciences.
Papers
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Journal ArticleDOI
Adaptive Sliding Mode Consensus Tracking for Second-Order Nonlinear Multiagent Systems With Actuator Faults
TL;DR: This paper investigates the consensus tracking problem of second-order nonlinear multiagent systems (MAS) with disturbance and actuator fault by the sliding mode control method and develops a continuous sliding mode tracking protocol with an adaptive mechanism.
Journal ArticleDOI
Adaptive Fault-Tolerant Consensus for a Class of Uncertain Nonlinear Second-Order Multi-Agent Systems With Circuit Implementation
TL;DR: A robust fault-tolerant consensus control strategy and its circuit implementation method are proposed for a class of nonlinear second-order leader-following multi-agent systems against multiple actuator faults and time-varying state/input-dependent system uncertainties.
Journal ArticleDOI
Brief paper: Adaptive robust coordinated control of multiple mobile manipulators interacting with rigid environments
Zhijun Li,Jianxun Li,Yu Kang +2 more
TL;DR: A new version of adaptive robust control extended to the actuator level for multiple mobile manipulators carrying a common object in a cooperative manner is proposed, robust not only to parametric uncertainties including mass variation and electrical parameters but also to external disturbances.
Journal ArticleDOI
High-Order Disturbance-Observer-Based Sliding Mode Control for Mobile Wheeled Inverted Pendulum Systems
TL;DR: A novel high-order disturbance observer (HODO) for the mobile wheeled inverted pendulum (MWIP) system is first proposed and based on a choice method of optimal gain matrices, the estimation accuracy of the HODO can be improved.
Proceedings ArticleDOI
Fast Haze Removal for Nighttime Image Using Maximum Reflectance Prior
TL;DR: This paper first introduces the nighttime hazy imaging model, which includes a local ambient illumination item in both direct attenuation term and scattering term, and proposes a novel maximum reflectance prior, to estimate the varying ambient illumination.