Papers

2

Total Citations

79

H-Index

2

About

Zhiyao Ma is a leading researcher in adaptive fuzzy control for nonlinear systems, with a focus on overcoming the challenges posed by non-smooth actuator and sensor nonlinearities. His work centers on developing advanced control strategies for strict-feedback systems affected by unknown dead-zone output nonlinearities—a notoriously difficult problem in control engineering. Ma’s major contributions include the creation of novel smooth approximations for non-symmetric dead-zone functions, which elegantly integrate with backstepping and dynamic surface control techniques. His most cited work, "Improved Adaptive Fuzzy Output-Feedback Dynamic Surface Control of Nonlinear Systems With Unknown Dead-Zone Output" (2020), has garnered 54 citations, demonstrating its significant impact on the field. He further advanced this line of research with a 2023 paper on nonlinear filters-based adaptive fuzzy control, which has already accumulated 25 citations. By fusing fuzzy logic systems with adaptive control and nonlinear filters, Ma has provided robust, practical solutions for systems with asymmetric dead-zone outputs and unknown virtual control coefficients, making his work essential reading for researchers tackling real-world control challenges in electromechanical systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
79
Total Citations
40
Avg Citations/Paper
🏆 Most Cited Paper
Improved Adaptive Fuzzy Output-Feedback Dynamic Surface Control of Nonlinear Systems With Unknown Dead-Zone Output
54 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Northeastern University, Liaoning University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago