Chenliang Wang
Papers
5
Total Citations
96
H-Index
5
About
Chenliang Wang is a leading researcher in adaptive control, nonlinear multi-agent systems, and secure state estimation, with a particular focus on real-world robotic applications. His work addresses fundamental challenges in controlling complex systems under uncertainty, including unknown parameters, input quantization, and cyber-physical threats. Wang’s highly cited 2017 paper on output-feedback adaptive consensus tracking for high-order nonlinear multi-agent systems (32 citations) established a framework for cooperative control under simultaneous unknown dynamics and input quantization. He further advanced the field with his 2022 work on secure state estimation for nonlinear systems under sparse attacks (28 citations), extending critical security results from linear to nonlinear systems with application to robotic manipulators. More recently, Wang has pioneered adaptive neural inverse control techniques for hysteretic nonlinear time-delay systems, with direct applications in soft robotics and quadrotor unmanned aircraft. His 2024 papers on fractional-order hysteretic systems and quadrotor control, including experimental validation on the QDrone platform, demonstrate his commitment to bridging theory and practice. With over 96 citations across his most influential works, Wang continues to shape the frontiers of adaptive and secure control for next-generation autonomous systems.
Research Focus
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