Virtual Reference Feedback Tuning-based Model-Free Adaptive Displacement Control for Tap-Water-Driven Artificial Muscle and Robustness Evaluation to Load. - Satoshi Tsuruhara; Kazuhisa Ito (ECC, 2022)

Model Predictive Displacement Control Tuning for Tap-Water-Driven Artificial Muscle by Inverse Optimization with Adaptive Model Matching and its Contribution Analyses. - Satoshi Tsuruhara; Ryo Inada; Kazuhisa Ito (Int. J. Autom. Technol., 2022)

Data-Driven Model-Free Adaptive Displacement Control for Tap-Water-Driven Artificial Muscle and Parameter Design Using Virtual Reference Feedback Tuning. - Satoshi Tsuruhara; Kazuhisa Ito (J. Robotics Mechatronics, 2022)

Optimized Pseudo-Linearization-Based Model Predictive Controller Design Direct Data-Driven Approach. - Mikiya Sekine; Satoshi Tsuruhara; Kazuhisa Ito (CoRR, 2023)

Adaptive FRIT-Based Recursive Robust Controller Design Using Forgetting Factors. - Satoshi Tsuruhara; Kazuhisa Ito (MED, 2024)

Discrete-time Indirect Adaptive Control for Systems with State-Dependent Disturbances via Directional Forgetting: Concurrent Learning Approach. - Satoshi Tsuruhara; Kazuhisa Ito (CoRR, 2024)

Pseudo-Linearisation-based Model Predictive Controller Design Using an Ultra-Local Model. - Ayaka Kosugi; Satoshi Tsuruhara; Kazuhisa Ito (MED, 2025)

Discrete-time Two-Layered Forgetting RLS Identification under Finite Excitation. - Satoshi Tsuruhara; Kazuhisa Ito (CoRR, 2025)

Hierarchical-Type Model Predictive Control and Experimental Evaluation for a Water-Hydraulic Artificial Muscle with Direct Data-Driven Adaptive Model Matching. - Satoshi Tsuruhara; Kazuhisa Ito (Int. J. Autom. Technol., 2025)