5 papers · 1 filter
Generalized bilinear Koopman realization from input-output data for multi-step prediction with metaheuristic optimization of lifting function and its application to real-world industrial system
Shuichi Yahagi, Ansei Yonezawa, Heisei Yonezawa +2
This paper introduces an input-output bilinear Koopman realization with an optimization algorithm of lifting functions. For nonlinear systems with inputs, Koopman-based modeling is…
Fractional-order controller tuning via minimization of integral of time-weighted absolute error without multiple closed-loop tests
Ansei Yonezawa, Heisei Yonezawa, Shuichi Yahagi +2
This study presents a non-iterative tuning technique for a linear fractional-order (FO) controller, based on the integral of the time-weighted absolute error (ITAE) criterion. Mini…
Sparse Identification of Nonlinear Dynamics Enhanced by Ensemble Learning, Multi-Step Prediction Evaluation, Elite Strategy, and Classification Techniques for Applications to Industrial Systems
Shuichi Yahagi, Ansei Yonezawa, Hiroki Seto +2
This paper proposes a sparse identification of nonlinear dynamics (SINDy) with control and exogenous inputs for highly accurate and reliable prediction. Although SINDy is recognize…
Simple controller design to achieve iso-damping robustness: Non-iterative data-driven approach based on fractional-order reference model
Ansei Yonezawa, Heisei Yonezawa, Shuichi Yahagi +1
This study proposes a simple controller design approach to achieve a class of robustness, the so-called iso-damping property. The proposed approach can be executed using only one-s…
Practical one-shot data-driven design of fractional-order PID controller: Fictitious reference signal approach
Ansei Yonezawa, Heisei Yonezawa, Shuichi Yahagi +1
This study proposes a one-shot data-driven tuning method for a fractional-order proportional-integral-derivative (FOPID) controller. The proposed method tunes the FOPID controller…