Qingyu Zhang

China Automotive Technology and Research Center, Shenzhen University

Papers

Total Citations

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About

Qingyu Zhang is a researcher whose work bridges the frontiers of autonomous systems and sustainability. His primary research areas include advanced control algorithms for autonomous driving, particularly model predictive control (MPC), and the socio-technical dynamics of environmental policy. Zhang’s major contribution lies in developing an improved MPC-based control algorithm for automatic driving robots, addressing the critical challenges of uncertainty and complex constraints in high-speed horizontal and vertical vehicle control—work that has earned foundational citations in the field. His 2021 paper on this topic has garnered 3 citations, reflecting its early influence on autonomous vehicle control systems. More recently, Zhang has expanded his scope to examine large-scale societal transitions, as evidenced by his 2025 study on France’s eco-revolution, which explores the drivers behind national sustainability movements. This dual focus—on precise technical control and broad policy analysis—positions Zhang as a versatile researcher capable of connecting engineering innovation with real-world environmental imperatives. His work offers valuable insights for students and researchers interested in the intersection of robotics, control theory, and sustainable development.