Meng‐Bi Cheng

About

Meng‐Bi Cheng is a leading researcher in the control and stabilization of complex robotic systems, with a particular focus on nonholonomic mobile manipulators and distributed parameter dynamic systems. His major contributions lie in developing robust tracking control strategies that integrate sliding mode control with fuzzy neural networks and backstepping techniques, addressing the challenges of parameter uncertainties, external load variations, and nonholonomic constraints in wheeled mobile manipulators. His most cited work, a 2014 survey on stabilization and control of distributed parameter systems (16 citations), provides a comprehensive overview of recent trends in this field, while his 2010 paper on hybrid sliding mode fuzzy neural network control for unicycle-type mobile manipulators (15 citations) showcases his innovative approach to robust tracking. Cheng’s research has significantly advanced the practical implementation of intelligent control systems in robotics, with his 2006 work on dual-arm mobile manipulators (7 citations) demonstrating early leadership in this area. His work is essential reading for researchers in nonlinear control, robotics, and automation, offering both theoretical depth and practical solutions for uncertain dynamic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Recent Trends in Stabilization and Control of Distributed Parameter Dynamic Systems

   16 citations · 2014
2. 2
   Robust tracking control of a unicycle-type wheeled mobile manipulator using a hybrid sliding mode fuzzy neural network

   15 citations · 2010
3. 3
   Robust Backstepping Tracking Control Using Hybrid Sliding-Mode Neural Network for a Nonholonomic Mobile Manipulator with Dual Arms

   7 citations · 2006
4. 4
   TRAJECTORY TRACKING CONTROL FOR AN UNCERTAIN MOBILE MANIPULATOR: COMBINING SLIDING MODE AND NEURAL NETWORK

   2 citations · 2013

Key Collaborators

Contact & Links