Pengyu Zeng

Papers

Total Citations

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About

Pengyu Zeng is a leading researcher in the field of cyber-physical systems security and nonlinear control theory, with a particular focus on Markov jump systems (MJSs) and adaptive dynamic programming. His most cited work, "Zero‐sum game‐based security control of unknown nonlinear Markov jump systems under false data injection attacks" (2022, 13 citations), introduces a groundbreaking model-free approach to defending discrete-time MJSs against cyber threats. By framing the interaction between controller and attacker as a zero-sum game, Zeng developed an adaptive dynamic programming algorithm that operates without prior system knowledge—a critical advancement for real-world applications where system models are often unavailable. This work addresses the growing challenge of false data injection attacks in safety-critical infrastructure. His contributions bridge the gap between game theory, reinforcement learning, and robust control, offering scalable solutions for autonomous systems operating under uncertainty. With a citation count reflecting the timeliness and relevance of his research, Zeng is recognized for pioneering data-driven security protocols that ensure system stability even under adversarial conditions. His achievements position him at the forefront of next-generation resilient control systems, making his work essential reading for researchers tackling cybersecurity in complex dynamical networks.