Design of a Two-Layer Adaptive Gain Scheduling Type-II Fuzzy Logic Controller for Improved Seismic Resilience in Multistory Structures

Document Type : Research Paper

Authors

1 Faculty of Automation Engineering, University of Bologna, Italy, Bologna

2 Faculty of Bioinformatics, University of Bologna, Italy, Bologna

3 Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, Iran

10.22111/ijfs.2026.52466.9253

Abstract

This study introduces a novel Two-Layer Type-II Adaptive Fuzzy Logic Controller (2LT2-FLC) to enhance seismic resilience in structural engineering. The innovative dual-layer approach integrates an inner adaptive fuzzy layer, which dynamically adjusts input scaling gains in real-time based on the instantaneous range of structural response, with a core fuzzy layer that employs interpretable IF-THEN rules to compute control forces. This design overcomes the limitations of controllers with static parameters by providing continuous self-adaptation to varying seismic excitation levels. The controller's performance was evaluated on a nonlinear four-story steel frame benchmark model, with parameters validated against established structural dynamics literature, under historical earthquake records (Kobe and Northridge). The proposed 2LT2-FLC significantly reduced peak inter-story drift—by 50.18% on the second floor and 47.69% on the fourth floor during the Kobe earthquake—outperforming both Type-II Fuzzy-PID and ANFIS-PID controllers. The controller operates with an average computation time of approximately 0.2 milliseconds per time step, confirming its suitability for real-time applications. By simplifying real-time adaptation for nonlinear systems, the 2LT2-FLC ensures robust, interpretable, and computationally efficient control, presenting a significant advancement for practical seismic mitigation.

Keywords

Main Subjects

References

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Iranian Journal of Fuzzy Systems
Volume 23, Issue 3
May and June 2026
Pages 31-50

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