Fuan Cheng

Xi'an University of Architecture and Technology

Papers

Total Citations

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About

Fuan Cheng is a rising scholar in control theory and cyber-physical systems, whose work centers on advancing model predictive control (MPC) for complex, constrained nonlinear systems. His research addresses critical challenges in communication efficiency and model accuracy for real-time control applications. Cheng’s most impactful contribution is his 2024 paper on PID-based event-triggered MPC, which has already garnered 33 citations. This work introduces a novel framework that reduces unnecessary communication in cyber-physical systems by integrating PID control principles with event-triggered mechanisms, enabling more efficient handling of physical constraints while maintaining stability. More recently, in 2025, Cheng proposed a learning-based MPC method using a basic-residual cooperative model, offering a sophisticated alternative to single-network approaches by combining static feature capture with dynamic adaptation. This innovation promises improved prediction accuracy and robustness in uncertain environments. With his focus on bridging theoretical control design with practical implementation challenges, Cheng is establishing himself as a thoughtful contributor to next-generation autonomous and networked systems, making his work essential reading for researchers exploring the intersection of learning and control.