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About

Ya-Fu Peng’s research centers on intelligent control systems for mobile robotics, with a particular focus on fuzzy logic and neural-network-based controllers for nonholonomic and omnidirectional platforms. His major contributions include the development of a dual Takagi-Sugeno fuzzy control scheme (DTSFCS) for real-world systems, demonstrated on a ball robot capable of omnidirectional movement (2019, 16 citations). He also pioneered a dual Mamdani-type fuzzy control strategy for an omni-directional spherical mobile system (2013, 5 citations), addressing the challenge of highly nonlinear dynamics. Earlier work introduced an adaptive output recurrent cerebellar model articulation controller (AORCMAC) for two-wheeled robot self-balancing and motion control (2008, 5 citations), and an intelligent robust control algorithm combining sliding mode technology with a recurrent CMAC for three-link robot manipulators (2007, 3 citations). His research on position and angle control for two-wheel robots (2017, 12 citations) further underscores his sustained impact in autonomous vehicle control. Peng’s work bridges theoretical advances in adaptive fuzzy and neural control with practical implementation on novel robotic platforms, making him a recognized figure in intelligent robotics and nonlinear system control.