Changzhi Sun
Papers
11
Total Citations
56
H-Index
5
About
Changzhi Sun is a pioneering researcher at the intersection of chaos theory, fuzzy control, and underwater robotics. His work centers on solving complex optimization and control problems in autonomous mobile robots and deepwater robotic systems, with a particular focus on thruster motor design and motion planning in dynamic, unstructured environments. Sun’s major contributions include developing globally convergent chaotic optimization algorithms that leverage the ergodicity and randomness of chaotic motion to avoid local optima—a critical advance for nonlinear constraint problems. He also introduced fuzzy control methods to tame chaotic behavior in brushless DC thruster motors, enhancing the stability and reliability of deepwater robots. His most cited paper (10 citations) proposes a fuzzy-controlled time-delayed feedback method for chaos suppression, while his 2004 work on chaotic optimization for underwater motor design (9 citations) demonstrates global convergence. Sun’s innovative hybrid approaches, such as combining chaotic optimization with Taboo search and Alopex algorithms, have improved solution accuracy and convergence speed. His research on path planning complexity using Lyapunov exponents and power spectra analysis has advanced autonomous navigation in dynamic environments, making him a key figure in chaos-based robotics optimization.
Research Focus
Key Achievements
Top Papers
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- 5Chaotic Potential Field Method and Application in Robot Soccer Game5 citations · 2006
- 6MOTION PLANNING FOR MOBILE ROBOT UNDER UNSTRUCTURED ENVIRONMENT4 citations · 2004
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- 8Optimal design of thruster motor for underwater robot3 citations · 2004
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