Ruey-Jing Lian

About

Ruey-Jing Lian is a distinguished researcher specializing in intelligent control systems, with a particular focus on fuzzy logic, neural networks, and their applications to robotic motion control. Over more than two decades, Lian has made significant contributions to the development of advanced controllers for complex, nonlinear, and multi-input multi-output (MIMO) systems, earning a cumulative citation count exceeding 340 across his most notable works. Lian's most celebrated contribution is his 2013 paper introducing the Self-Organizing Fuzzy Radial Basis-Function Neural-Network Controller (SFRBNC) for robotic systems, which has garnered 119 citations and represents a landmark integration of fuzzy sliding-mode control with adaptive neural architectures. His research consistently tackles the practical challenges of real-time parameter tuning and system uncertainty, proposing hybrid frameworks that combine grey prediction, self-organizing fuzzy control, and sliding-mode strategies to achieve robust performance. Beginning with foundational hybrid fuzzy-neural approaches in the late 1990s, Lian progressively refined his methodologies, culminating in enhanced adaptive controllers that demonstrate both theoretical rigor and practical applicability. His work offers researchers and engineers powerful tools for tackling the inherent nonlinearity and dynamic complexity of modern robotic manipulators, making him a key figure in intelligent control engineering.

Research Focus

Key Achievements

Top Papers

1. 1
   Adaptive Self-Organizing Fuzzy Sliding-Mode Radial Basis-Function Neural-Network Controller for Robotic Systems

   119 citations · 2013
2. 2
   Design of an enhanced adaptive self-organizing fuzzy sliding-mode controller for robotic systems

   40 citations · 2011
3. 3
   Intelligent Controller for Robotic Motion Control

   40 citations · 2011
4. 4
   Design of a mixed fuzzy controller for multiple-input multiple-output systems

   28 citations · 2005
5. 5
   A hybrid fuzzy logic and neural network algorithm for robot motion control

   26 citations · 1997
6. 6
   Hybrid fuzzy-logic and neural-network controller for MIMO systems

   22 citations · 2009
7. 7
   Grey-prediction self-organizing fuzzy controller for robotic motion control

   20 citations · 2012
8. 8
   A fuzzy controller with grey prediction for robot motion control

   16 citations · 1998
9. 9
   Enhanced adaptive grey-prediction self-organizing fuzzy sliding-mode controller for robotic systems

   15 citations · 2013
10. 10
    Stability indices for a self-organizing fuzzy controlled robot: A case study

    15 citations · 2010

Key Collaborators

Contact & Links