Papers
64
Total Citations
2,309
H-Index
25
About
Peng Shi is a prolific researcher whose work spans intelligent control systems, multiagent coordination, fuzzy logic control, and autonomous robotics. His scholarship addresses some of the most pressing challenges in modern control engineering, including how large-scale multiagent systems can achieve robust collaboration under uncertainty and limited communication—a theme that anchors his highly cited 2020 survey on intelligent control for multiagent systems (242 citations). Shi has made significant contributions to networked control under realistic constraints, developing innovative frameworks for fuzzy Markov jump systems with time-varying delays, packet dropout compensation, and resilience against cyberattacks. His work on mobile robotics is equally impactful, with notable advances in nonholonomic tracking, obstacle avoidance, and formation control that bridge theoretical rigor with practical deployment. Shi has also advanced adaptive fuzzy control for complex robotic structures, including multi-DOF robot finger dynamics, and explored neural learning strategies for strict-feedback nonlinear systems with guaranteed performance. Collectively, his publications have garnered over 1,300 citations across the surveyed works alone, reflecting his sustained influence on control theory and intelligent autonomous systems research worldwide.
Research Focus
Key Achievements
Top Papers
- 1A Survey on Intelligent Control for Multiagent Systems242 citations · 2020
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- 4Decentralized Adaptive Fuzzy Tracking Control for Robot Finger Dynamics142 citations · 2014
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