Itsuro KAJIWARA 研究室

主宰者：Itsuro KAJIWARA

北海道大学

AI 要約（直近 5 年の研究成果）

本研究室は、機械システムの制御と振動抑制を主な研究対象としています。自動車のパワートレイン、パイプ構造、産業用ロボットなど、現実の機械システムには複雑な非線形特性や不確実性が存在します。これらのシステムの動的な挙動を正確に制御することは、乗心地の向上、耐久性の改善、精密加工精度の向上などの実務的課題につながります。制御手法としては、データ駆動制御と最適化アルゴリズムの組み合わせを活用しています。具体的には、システムの数学モデルを必要としない「モデルフリー制御」や、測定データから非線形ダイナミクスの支配方程式を自動的に同定する手法、遺伝アルゴリズムや粒子群最適化などの機械学習的手法を用いた制御パラメータの自動調整に取り組んでいます。さらに、ファジィ論理やカルマンフィルタなどを組み合わせ、バックラッシュなどの非線形性に対応した制御器の実装と検証を行っています。一つの特徴は、提案手法を実際の機械システムに適用し、実験的に検証することを重視している点です。単一の実験データから最適な制御パラメータを決定する手法の開発、柔軟なアクチュエータ（柔らかいロボットの駆動素子）の活用による新しい制御方式の提案など、理論と実践の統合を目指しています。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

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研究成果（71 件）

[2026] Continual uncertainty learning
[2026] 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
[2026] Sparse Identification of Nonlinear Dynamics With Library Optimization Mechanism: Recursive Long-Term Prediction Perspective
DOI: https://doi.org/10.1109/tcyb.2026.3652850
[2025] Electroadhesive dielectric elastomer actuator for vibration excitation of mechanical structure
DOI: https://doi.org/10.1016/j.sna.2025.117274
[2025] Model-based controller assisted domain randomization for transient vibration suppression of nonlinear powertrain system with parametric uncertainty
DOI: https://doi.org/10.1016/j.ymssp.2025.113570
[2025] Whale Optimization Algorithm-Based Powertrain Oscillation Controller Considering Mechanical Clearance Nonlinearity
DOI: https://doi.org/10.23919/iccas66577.2025.11301249
[2025] One-shot Data-driven Tuning Approach for Fractional-order Controller Based on Fictitious Reference Signal and Total Variation Regularization
DOI: https://doi.org/10.1007/s12555-025-0460-4
[2025] Electric-power free impulse point sound source generation system with bubble wrap bursting phenomena for simplified non-destructive testing
DOI: https://doi.org/10.1016/j.measurement.2025.119192
[2025] Simple Controller Design to Achieve Iso-Damping Robustness: Noniterative Data-Driven Approach Based on Fractional-Order Reference Model
DOI: https://doi.org/10.1109/tsmc.2025.3599208
[2025] Fractional‐order controller tuning via minimization of integral of time‐weighted absolute error without multiple closed‐loop tests
DOI: https://doi.org/10.1002/asjc.3788

続きを表示（残り 61 件）

[2025] Model-free parameter tuning with continuous genetic algorithm: Application to virtual controlled object-based active vibration controller
DOI: https://doi.org/10.1177/09544062251327534
[2025] Sparse Identification and Nonlinear Model Predictive Control for Diesel Engine Air Path System
DOI: https://doi.org/10.1007/s12555-024-0452-9
[2025] Active Vibration Control with a Combination of Virtual Controlled Object-Based Model-Free Design and Fuzzy Sliding Mode Technique
DOI: https://doi.org/10.1007/s42417-024-01605-8
[2024] Data-driven design of model-free control for reference model tracking based on an ultra-local model: Application to vehicle yaw rate control
DOI: https://doi.org/10.1177/09544070231215636
[2024] Compensation approach for discretization constraint in automobile powertrain control and its performance evaluation
DOI: https://doi.org/10.1299/transjsme.24-00011
[2024] One-Shot Data-Driven Design for Feedback Controller and Reference Model With BIBO Stability
DOI: https://doi.org/10.1109/access.2024.3471631
[2024] Novel Powertrain Vibration Controller With Six Rules-Based Fuzzy Inference for Time-Fluctuated Control Period
DOI: https://doi.org/10.1109/access.2024.3355541
[2024] Simultaneous Perturbation Algorithm Tuned Oscillation Controller for Automotive Driveline With Kalman Filtering-Based Compensation for Dead-Zone Nonlinearity
DOI: https://doi.org/10.1115/imece2024-143386
[2024] Efficient Controller Tuning Technique for Model-Free Active Vibration Control Based on Virtual Controlled Object
DOI: https://doi.org/10.1115/imece2024-143389
[2024] Experimental validation of adaptive grey wolf optimizer-based powertrain vibration control with backlash handling
DOI: https://doi.org/10.1016/j.mechmachtheory.2024.105825
[2024] Geometric and dynamic error compensation of dual-drive machine tool based on mechanism-data hybrid method
DOI: https://doi.org/10.1016/j.ymssp.2024.112041
[2024] Experimental verification of model-free active damping system based on virtual controlled object and fuzzy sliding mode control
DOI: https://doi.org/10.1016/j.ymssp.2024.111961
[2024] Practical one-shot data-driven design of fractional-order PID controller: Fictitious reference signal approach
DOI: https://doi.org/10.1016/j.isatra.2024.07.001
[2024] Final state control-based active compensation for backlash in vibration suppression of automobile powertrain
DOI: https://doi.org/10.1080/00207179.2024.2332539
[2024] Simple Inverse Kinematics Computation Considering Joint Motion Efficiency
DOI: https://doi.org/10.1109/tcyb.2024.3372989
[2024] Grey wolf optimization tuned drivetrain vibration controller with backlash compensation strategy using time-dependent-switched Kalman filter
DOI: https://doi.org/10.1177/09544070241240019
[2024] Experimental verification of active oscillation controller for vehicle drivetrain with backlash nonlinearity based on norm-limited SPSA
DOI: https://doi.org/10.1177/14644193241243158
[2024] Active vibration control for thin curved structures using dielectric elastomer actuators
DOI: https://doi.org/10.1088/1361-665x/ad2880
[2023] Grey-Wolf-Optimization-Algorithm-Based Tuned P-PI Cascade Controller for Dual-Ball-Screw Feed Drive Systems
DOI: https://doi.org/10.3390/math11102259
[2023] Efficient parameter tuning to enhance practicability of a model-free vibration controller based on a virtual controlled object
DOI: https://doi.org/10.1016/j.ymssp.2023.110526
[2023] Improved Six Rules-Based Fuzzy Compensation for Time-Varying Control Cycle in Active Powertrain Oscillation Reduction
DOI: https://doi.org/10.1115/imece2023-113274
[2023] Experimental Comparison of Model-Free Vibration Control Based on Virtual Controlled Object and Model-Based Control: Robustness to Characteristic Changes in Actual Controlled Object
DOI: https://doi.org/10.1115/imece2023-112871
[2023] Data-Driven Design for Model-Referenced Model-Free Controller
DOI: https://doi.org/10.23919/iccas59377.2023.10316802
[2023] Experimental verification of active damping of powertrain vibrations with simple fuzzy logic compensation for time-varying control period
DOI: https://doi.org/10.1177/09544070231178103
[2023] A method of testing pear fruit firmness with dielectric elastomer actuator excitation
DOI: https://doi.org/10.1117/12.2657681
[2023] Efficient Tuning Scheme of Mode-Switching-Based Powertrain Oscillation Controller Considering Nonlinear Backlash
DOI: https://doi.org/10.1109/access.2023.3310540
[2023] Noniterative Data-Driven Gain-Scheduled Controller Design Based on Fictitious Reference Signal
DOI: https://doi.org/10.1109/access.2023.3278798
[2023] Compensation approach for discretization constraint in automobile powertrain control and its performance evaluation
DOI: https://doi.org/10.1299/jsmedmc.2023.238
[2023] Model-Free Vibration Control of Multiple-Story Structures by Introducing Virtual Structure
DOI: https://doi.org/10.1299/jsmedmc.2023.249
[2022] Active Reduction of Transient Driveline Oscillations with Fuzzy Update Timings of Control Input
DOI: https://doi.org/10.1109/iccma56665.2022.10011457
[2022] Noise Tolerance of Online Self-Tuning Mechanism for Model-Free Vibration Controller Based on a Virtual Controlled Object
DOI: https://doi.org/10.1109/iccma56665.2022.10011456
[2022] Fuzzy-reasoning-based robust vibration controller for drivetrain mechanism with various control input updating timings
DOI: https://doi.org/10.1016/j.mechmachtheory.2022.104957
[2022] Stability Improvement of Model-Free Control Based on a Virtual Structure Against the Resonance of a Proof-Mass Actuator
DOI: https://doi.org/10.1007/s42417-022-00436-9
[2022] Vibration control for various structures with time-varying properties via model-free adaptive controller based on virtual controlled object and SPSA
DOI: https://doi.org/10.1016/j.ymssp.2022.108801
[2022] Non-Iterative Data-Driven Tuning of Model-Free Control Based on an Ultra-Local Model
DOI: https://doi.org/10.1109/access.2022.3188713
[2022] Direct Data-Driven Tuning of Look-Up Tables for Feedback Control Systems
DOI: https://doi.org/10.1109/lcsys.2022.3181343
[2022] Two-Degree-of-Freedom Controller Design Based on a Data-Driven Estimation Approach
DOI: https://doi.org/10.1109/access.2022.3221415
[2022] A study of dealing with discrete value constraints in vibration control of automotive drive system
DOI: https://doi.org/10.1299/jsmedmc.2022.304
[2022] Maturity evaluation of avocados using dielectric elastomer actuators
DOI: https://doi.org/10.1299/jsmedmc.2022.505
[2022] Model-free Vibration Control of Arbitrary Structures via Multiple Actuators
DOI: https://doi.org/10.1299/jsmedmc.2022.401
[2022] Enhancement of Tracking and Disturbance Suppression Performance via Adaptive Parameter Tuning of Two-degree-of-freedom Control System Using On-line FRIT
DOI: https://doi.org/10.1299/jsmedmc.2022.403
[2022] Estimation of bone elastic modulus using laser excitation
DOI: https://doi.org/10.1299/jsmebiofro.2022.33.1f17
[2022] Basic Study on Damping Characteristics Evaluation of Concrete Structures Based on Impulse Excitation Tests
DOI: https://doi.org/10.1299/jsmesed.2022.20.207
[2022] Experimental study of model-free vibration control based on a virtual controlled object considering parameter uncertainty of actuator
DOI: https://doi.org/10.1177/09544062221140814
[2021] Non-contact and non-destructive firmness assessment of a mango fruit using laser-induced plasma impulse excitation.
DOI: https://doi.org/10.1299/jsmedmc.2021.367
[2021] Laser-induced plasma shock wave excitation technique with acoustic lens
DOI: https://doi.org/10.1299/jsmedmc.2021.335
[2021] Active vibration suppression of automotive drive system with uncertainty on update timing of control input
DOI: https://doi.org/10.1299/jsmedmc.2021.528
[2021] Construction method of active vibration control system without using mathematical models of controlled objects
DOI: https://doi.org/10.1299/jsmemovic.2021.17.d17
[2021] Experimental Verification of Model-Free Vibration Control Technique Based on a Virtual Controlled Object Considering Actuator Parameter Uncertainty
DOI: https://doi.org/10.1115/imece2021-69100
[2021] Direct tuning of PID controller and reference model with input constraint
DOI: https://doi.org/10.23919/iccas52745.2021.9649821
[2021] Vibration control of membrane structures using multiple dielectric elastomer actuators
DOI: https://doi.org/10.23919/iccas52745.2021.9649918
[2021] Firmness evaluation of postharvest pear fruit during storage based on a vibration experiment technique using a dielectric elastomer actuator
DOI: https://doi.org/10.1016/j.postharvbio.2021.111697
[2021] Measurements of S0 mode Lamb waves using a high-speed polarization camera to detect damage in transparent materials during non-contact excitation based on a laser-induced plasma shock wave
DOI: https://doi.org/10.1016/j.optlaseng.2021.106770
[2021] Direct tuning method of gain‐scheduled controllers with the sparse polynomials function
DOI: https://doi.org/10.1002/asjc.2657
[2021] Parameter tuning technique for a model-free vibration control system based on a virtual controlled object
DOI: https://doi.org/10.1016/j.ymssp.2021.108313
[2021] Direct tuning of gain-scheduled controller for electro-pneumatic clutch position control
DOI: https://doi.org/10.1177/16878140211036017
[2021] Experimental evaluation of frequency response and firmness of apples based on an excitation technique using a dielectric elastomer actuator
DOI: https://doi.org/10.1016/j.sna.2021.112830
[2021] Direct tuning of the data-driven controller considering closed-loop stability based on a fictitious reference signal
DOI: https://doi.org/10.1177/00202940211010834
[2021] Soft Mango Firmness Assessment Based on Rayleigh Waves Generated by a Laser-Induced Plasma Shock Wave Technique
DOI: https://doi.org/10.3390/foods10020323
[2021] Vibration Control System Construction Method without Controlled Object Modeling
DOI: https://doi.org/10.1109/iccma54375.2021.9646195
[2021] Application of Physical Function Model to State Estimations of Nonlinear Mechanical Systems
DOI: https://doi.org/10.1109/access.2021.3051421

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AI 要約（直近 5 年の研究成果）

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関連研究室(8 件)

研究成果（71 件）

科研費（0 件）

所属学会・役職（0 件）