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About

Pengju Ning is a rising force in nonlinear control theory and mobile robotics, whose work tackles the fundamental challenge of achieving precise, safe motion under real-world constraints. His research centers on prescribed-time tracking control, adaptive full-state constraint handling, and robust compensation for actuator imperfections like dead-zone inputs. Ning’s most cited work, “Adaptive full-state constrained tracking control for mobile robotic system with unknown dead-zone input” (2022, 44 citations), established a framework for ensuring mobile robots stay within safety boundaries while compensating for hardware nonlinearities. He then advanced the field with a 2023 study on global prescribed-time tracking control with performance constraints, achieving error-free tracking within a user-defined time—a leap beyond traditional asymptotic methods. His latest 2024 contribution tackles the even more challenging problem of global full-state prescribed performance control for nonlinear systems with both dead-zone and 1-bit-triggered inputs, integrating a novel time-varying funnel function for state transformation. With a growing citation record and a trajectory of increasingly ambitious results, Ning is establishing himself as a key innovator in making robotic and nonlinear systems both more reliable and more responsive under stringent real-world limitations.