Papers

9

Total Citations

434

H-Index

8

About

Jin-Xi Zhang is a prominent control systems researcher whose work sits at the intersection of fault-tolerant control, prescribed performance control, and nonlinear systems theory. His research has made significant contributions to robust and adaptive control strategies for complex dynamical systems, with particular emphasis on wheeled mobile robots, robotic manipulators, and broader classes of nonlinear systems subject to real-world uncertainties and failures. Zhang's most influential contribution—his 2019 work on fault-tolerant output-constrained control of Euler–Lagrange systems (209 citations)—established foundational techniques for guaranteeing prescribed tracking accuracy even in the presence of actuator faults. Building on this, his subsequent research pioneered mixed-gain adaptation approaches that elegantly handle partial loss of actuator effectiveness in mobile robots, a notoriously challenging structural control problem. His 2024 series of papers extended these ideas to sensor faults in robotic manipulators and high-performance control of unknown MIMO nonlinear systems, demonstrating both theoretical depth and practical breadth. Complementing his technical contributions, Zhang also authored a survey of transient performance control, reflecting his role as a synthesizer of ideas within the field. With over 400 cumulative citations and growing recognition across multiple publication venues, Zhang is an increasingly influential voice in modern nonlinear and fault-tolerant control research.

Research Focus

Key Achievements

8
H-Index
9
Papers
434
Total Citations
48
Avg Citations/Paper
🏆 Most Cited Paper
Fault-tolerant output-constrained control of unknown Euler–Lagrange systems with prescribed tracking accuracy
209 citations · 2019
📈 Most Prolific Year: 2024 (5 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago