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About

Cheng-Yuan Yang is a robotics and control systems researcher whose work centers on intelligent control methodologies for mobile robot systems, with particular emphasis on multi-robot formation control, fault-tolerant control, and adaptive fuzzy-neural techniques. His research addresses some of the most challenging problems in autonomous robotics, including coordinating leader-follower formations, compensating for actuator faults, and managing system uncertainties in real-world operating conditions. Yang's most influential contributions lie in developing robust adaptive control frameworks for differentially driven wheeled mobile robots. His 2013 papers on adaptive dynamic surface control and neuro-fuzzy formation control — each garnering 13 citations — introduced novel distributed controllers capable of handling partial actuator effectiveness loss, a critical consideration for reliable multi-robot deployments. He further advanced fault-tolerant approaches through output-feedback schemes grounded in backstepping techniques, and explored finite-time formation control using fuzzy terminal sliding-mode controllers. His later work expanded into bilateral teleoperation systems, addressing time-delay challenges in master-slave robotic configurations. Collectively accumulating over 50 citations, Yang's research demonstrates a consistent commitment to bridging advanced control theory — including dynamic surface design, graph theory, and consensus algorithms — with practical multi-robot applications, making his work valuable reading for researchers pursuing intelligent, resilient autonomous systems.