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About

Zehui Mao is a control systems researcher whose work sits at the intersection of nonlinear control theory, sliding mode control (SMC), and mobile robotics. With a consistent focus on developing mathematically rigorous yet practically applicable control frameworks, Mao has made significant contributions to the design of robust controllers for complex, real-world systems. Among his most influential contributions is the development of a generalized regular form to facilitate SMC design for nonlinear systems, introducing novel nonlinear sliding surfaces grounded in implicit function theory to guarantee globally asymptotically stable sliding motion — a paper that has garnered 38 citations. His parallel work on trajectory tracking control for two-wheeled mobile robots, accumulating over 36 citations, demonstrates a strong commitment to translating theoretical advances into tangible robotic applications. Mao has also made notable strides in fault-tolerant control, proposing a framework for nonlinear networked control systems with Markov transfer delays using Takagi–Sugeno fuzzy modeling — cited 28 times and reflecting his breadth across control domains. Across his body of work, Mao has established himself as a dependable voice in robust and fault-tolerant control research, offering both foundational theory and applied insight valuable to engineers and researchers working on autonomous and networked systems.