Papers
42
Total Citations
492
H-Index
12
About
Mingcong Deng is a distinguished researcher whose work spans robust nonlinear control, mobile robotics, and smart materials, with significant contributions that have shaped modern control engineering and autonomous systems. Based at the Tokyo University of Agriculture and Technology, Deng has built an impressive body of research addressing some of the most challenging problems in dynamic system control and robotic navigation. His foundational contributions to two-wheeled mobile robot motion control — including obstacle avoidance inspired by locust neuroscience and support vector machine-based approaches — have garnered over 100 citations collectively, demonstrating lasting influence in autonomous robotics. Deng's operator-based approach to nonlinear control, particularly applied to ionic polymer metal composites (IPMC) and shape memory alloy actuators, has opened new pathways for biomedical and soft robotics applications. His work on the Acrobot swing-up controller reflects deep expertise in underactuated nonlinear systems using Lyapunov-based methods. Beyond technical research, Deng has actively shaped the research community as a contributor to the IEEE Robotics and Automation Society's Technical Committee on Agricultural Robotics and Automation. With cumulative citations exceeding 330 across his top works, his interdisciplinary influence across control theory, robotics, and smart materials makes him an essential reference for researchers in these rapidly evolving fields.
Research Focus
Key Achievements
Top Papers
- 1Two-wheeled mobile robot motion control in dynamic environments56 citations · 2009
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- 4An obstacle avoidance method for two wheeled mobile robot41 citations · 2007
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- 6A numerical dynamic behaviour model for 3D contact problems with friction34 citations · 2014
- 7New Developments on Robust Nonlinear Control and Its Applications23 citations · 2014
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- 10Robots extension control using fuzzy smoothing16 citations · 2013