Curriculum Vitaes

Natsuki Kawaguchi

  (川口 夏樹)

Profile Information

Affiliation
University of Hyogo
Degree
博士(工学)(Mar, 2018, 兵庫県立大学大学院)

Researcher number
90824392
J-GLOBAL ID
201801018128759047
researchmap Member ID
B000308931

Research History

 2

Papers

 100
  • Yoshihiro Maruo, Masaharu Kuroda, Natsuki Kawaguchi
    Research Square, Jul 7, 2026  
    Abstract <p>This study applies fractional-order sliding mode control (SMC) to the robust target tracking control of a levitated object in an attractive-force-type magnetic levitation system featuring nonlinear and inherently unstable dynamics. A design strategy is proposed for fractional-order SMC. The design ensures structural consistency between the switching function and control input by utilizing a mathematical model linearized near the equilibrium point as the design basis. First, a sliding surface is constructed using optimal feedback gains derived from fractional-order linear quadratic regulator theory. Second, an equivalent control input is obtained by imposing the condition that the 0.5th-order derivative of the switching function is zero. Third, to suppress chattering, a sigmoid function is employed in place of the sign function in the switching control input. This method realizes quasi-SMC that guarantees Lyapunov stability within the boundary layer while avoiding the Filippov framework through continuous approximation. The size of the boundary layer does not depend on the order of differentiation but rather on the control gain, the smoothing parameter, and the disturbance bound. This result provides a framework for a comprehensive understanding of the convergence properties of SMC in fractional-order systems. Verification on an actual magnetic levitation system demonstrates that the proposed method exhibits clear advantages over conventional integer-order SMC, including enhanced smoothness of the output response and reduced chattering in control voltage. The proposed design method for fractional-order SMC integrates fractional-order optimal control theory and SMC, achieving both theoretical consistency and implementation effectiveness.</p>
  • Yoshihiro Maruo, Masaharu Kuroda, Natsuki Kawaguchi
    Proceedings of 2026 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), May, 2026  Peer-reviewed
  • Takao Sato, Yoshiharu Kawahara, Natsuki Kawaguchi, Yusuke Tsunoda
    IFAC JOURNAL OF SYSTEMS AND CONTROL, 35, Mar, 2026  
  • Natsuki Kawaguchi, Sae Fujita, Takao Sato
    Journal of Robotics and Mechatronics, 38(1) 299-306, Feb, 2026  Peer-reviewedLead author
  • Wataru Hashimoto, Naoki Hayashi, Naoyuki Hara, Natsuki Kawaguchi, Takao Sato, Shigemasa Takai
    International Journal of Control, 1-13, Jul 29, 2025  

Misc.

 7

Presentations

 68

Research Projects

 5

Academic Activities

 6