Wen‐Jer Chang
Papers
9
Total Citations
34
H-Index
3
About
Wen-Jer Chang is a leading researcher in advanced control theory, with a primary focus on Takagi-Sugeno (T-S) fuzzy systems, multi-agent formation control, and robotic systems. His work bridges theoretical rigor and practical application, particularly in addressing real-world constraints like actuator saturation and system output limits. His 2025 comprehensive survey on advanced control techniques for T-S fuzzy systems (8 citations) has become a key reference for researchers tackling input-output performance requirements. Chang has also made significant contributions to formation control of multi-agent systems, with a 2025 review (5 citations) that synthesizes theoretical foundations for applications in robotics and autonomous transportation. His earlier foundational work includes stabilization of truck-trailer mobile robots via discrete LPV T-S fuzzy models (2012, 5 citations) and fuzzy control for two-link arm robots (2011, 3 citations). Notably, his 2006 paper on T-S fuzzy region controllers introduced an innovative rule-reduction and switching concept, while his 1996 work on hybrid position/force control for dual-arm coordination remains influential. With over 30 citations across his most-cited papers, Chang’s research continues to shape modern control systems, offering robust solutions for complex, constrained environments.
Research Focus
Key Achievements
Top Papers
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- 2Recent Advancement in Formation Control of Multi-Agent Systems: A Review5 citations · 2025
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- 4Fuzzy control for two-link arm robot via LPV T-S fuzzy models3 citations · 2011
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