T
Tianyou Chai
Researcher at Northeastern University (China)
Publications - 576
Citations - 10824
Tianyou Chai is an academic researcher from Northeastern University (China). The author has contributed to research in topics: Adaptive control & Control theory. The author has an hindex of 45, co-authored 525 publications receiving 7977 citations. Previous affiliations of Tianyou Chai include Chinese Ministry of Education & Northeastern University.
Papers
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Neural-Network-Based Terminal Sliding-Mode Control of Robotic Manipulators Including Actuator Dynamics
TL;DR: A neural-network-based terminal sliding-mode control (SMC) scheme is proposed for robotic manipulators including actuator dynamics that alleviates some main drawbacks in the linear SMC while maintains its robustness to the uncertainties.
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Decentralized Fault Diagnosis of Large-Scale Processes Using Multiblock Kernel Partial Least Squares
TL;DR: Application results indicate that the proposed decentralized monitoring scheme effectively captures the complex relations in the process and improves the diagnosis ability tremendously.
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Guaranteed Cost Networked Control for T–S Fuzzy Systems With Time Delays
TL;DR: A guaranteed cost networked control (GCNC) method for Takagi-Sugeno (T-S) fuzzy systems with time delays and the stability of the overall fuzzy system using GCNC is established.
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Nonlinear Disturbance Observer-Based Control Design for a Robotic Exoskeleton Incorporating Fuzzy Approximation
TL;DR: This paper utilizes fuzzy approximation and designed disturbance observers to compensate for the disturbance torques caused by unknown input saturation, fuzzy approximation errors, viscous friction, gravity, and payloads to perform power augmentation tasks of a robotic exoskeleton.
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Output-feedback adaptive optimal control of interconnected systems based on robust adaptive dynamic programming
TL;DR: The obtained adaptive and optimal output-feedback controllers differ from the existing literature on the ADP in that they are derived from sampled-data systems theory and are guaranteed to be robust to dynamic uncertainties.