Article
Automation & Control Systems
Qicheng Mei, Jinhua She, Feng Wang, Yosuke Nakanishi
Summary: This article presents an improved equivalent-input-disturbance (EID) approach that actively rejects exogenous disturbances for a plant. The control system based on this approach includes a new EID estimator constructed by embedding integrals to the conventional EID estimator, which enhances disturbance estimation precision without amplifying measurement noise. Stability conditions of the control system are obtained using the separation theorem, and the system design ensures these conditions are satisfied. Experimental results from a rotational control system validate the effectiveness of the approach.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Qicheng Mei, Jinhua She, Feng Wang, Yosuke Nakanishi, Hiroshi Hashimoto, Daisuke Chugo
Summary: This article presents an improved equivalent-input-disturbance approach for enhancing disturbance rejection in a control system. The approach utilizes an improved EID estimator, which incorporates an additional free matrix obtained from the inverse of the plant input matrix. The analysis of the control system illustrates how the inclusion of the free matrix improves disturbance rejection performance. Experimental results on a Stewart platform for posture control validate the effectiveness of the approach.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Xiang Yin, Yuntao Shi, Jinhua She, Mingyuan Xie, Zewen Wang
Summary: This article overcomes the limitations of applying an equivalent-input-disturbance (EID) approach to nonlinear systems by removing the requirement for the highest angular frequency of disturbances and unknown nonlinearities. An improved EID approach is presented, expanding its application range and enhancing its ability to reject nonlinearities. The method has additional merits, improving nonlinearity-compensation and disturbance-rejection performances while maintaining configuration simplicity.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Automation & Control Systems
Qicheng Mei, Jinhua She, Feng Wang, Min Wu, Qing-Guo Wang, Yosuke Nakanishi
Summary: This article presents a sliding-mode-control-based-equivalent-input-disturbance (SMCEID) approach that enhances the disturbance-rejection performance of a plant. The control scheme includes a conventional equivalent-input-disturbance (EID) estimator and a newly added sliding-mode controller (SMC). The SMC sets the state-observation error as a sliding-mode surface and employs a binary-search algorithm to select the gain, ensuring the sliding-mode surface converges to the origin and enhancing disturbance-rejection performance. The validity of the SMCEID approach is demonstrated through its application in a Stewart-platform control system.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Automation & Control Systems
Pan Yu, Qiang Wu, Kang-Zhi Liu, Jinhua She, Xiaoli Li
Summary: In this article, a tunable nonlinear-function-based estimator is developed for fast and efficient control of unknown and mismatched disturbances of a tracking control system based on the concept of an equivalent-input-disturbance (EID). The control performances are analyzed and a superiority of the developed estimator is highlighted. The article provides a clarification of the control mechanisms and a theoretical analysis of the relation between control performances and control parameters. Comparisons through simulations and experiments demonstrate the effectiveness of the developed method.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Zewen Wang, Jinhua She, Feng Wang, Juan Zhao, Daiki Sato
Summary: This article presents an inside observation of a disturbance-compensation error in the equivalent-input-disturbance (EID) approach and identifies two types of causes: disturbance- and state-estimation errors. A modified EID (MEID) approach is introduced to address each type separately. High-gain observer is utilized to ensure rapid convergence of the disturbance-estimation error, considering its unmeasurable nature. The MEID approach incorporates a weighted output-estimation error, generated by a state observer, to compensate for the state-estimation error within a specified frequency range. A stability condition is established for an MEID-based control system. Parameters of a filter and an observer are jointly optimized based on a time-domain performance index with a frequency domain constraint. Experimental comparison with alternative EID approaches highlights the superiority of the MEID approach.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Automation & Control Systems
Xiang Yin, Yuntao Shi, Jinhua She, Ying Zhang
Summary: This paper presents a high-order low-pass filter for improving disturbance-rejection performance. The presented filter is proven to be better than the conventional one and provides a guideline for its design. By replacing the conventional filter, a high-order EID approach is derived, which allows for easy application of stability conditions using the small-gain theorem. A comparison and simulation results demonstrate the validity and superiority of the presented method in a multiple-input, multiple-output system even under the influence of white noise and parameter uncertainties.
Article
Automation & Control Systems
Youwu Du, Weihua Cao, Jinhua She, Min Wu, Mingxing Fang, Seiichi Kawata
Summary: This article presents an observer-and-predictor-based method to reject an unknown exogenous disturbance for an input-delay system, demonstrating its validity and superiority through two case studies.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Fang Gao, Wenbin Chen
Summary: This paper addresses the problem of active disturbance rejection in a singular time-delay system with unknown external disturbances. An equivalent-input-disturbance (EID) estimation is proposed to compensate for the adverse effects of external disturbances. A new criterion for admissibility of singular time-delay systems is obtained in terms of strict linear matrix inequality without equality constraint. Based on this criterion, a sufficient condition is derived to ensure the admissibility of the EID-based singular time-delay control system. State feedback control gain is obtained using this sufficient condition. Numerical examples are provided to demonstrate the feasibility and effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2022)
Article
Automation & Control Systems
Xiang Wu, Guangpu Huang, Fanghong Guo, Qun Lu, Jinhua She, Li Yu
Summary: This article addresses the problem of disturbance rejection for networked control systems with time-varying delays and measurement noise. The delay-induced uncertainty is modeled as a disturbance and treated as part of the overall disturbance. An adaptive-filter-based estimator is proposed to estimate this overall disturbance in the presence of measurement noise. A new filter with an adjustable zero is designed, and an adaptive characteristics-adjustment mechanism is constructed to balance disturbance reconstruction and measurement noise attenuation. Experimental results demonstrate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Junxiao Wang, Linjie Chen, Qingsong Xu
Summary: This article introduces an improved IEIDO-based MPC scheme for position tracking control of a magnetic levitation system, which enhances accuracy and stability of estimation to optimize tracking performance.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Computer Science, Information Systems
Qicheng Mei, Jinhua She, Zhentao Liu, Min Wu
Summary: This paper presents an improved equivalent-input-disturbance (EID) approach to deal with periodic disturbances. The approach utilizes a repetitive controller and a conventional servo system to estimate and compensate for periodic disturbances without steady-state error while ensuring satisfactory tracking performance. The design of the improved EID compensator is achieved using the linear-matrix-inequality (LMI) method, and the state-feedback gain of the servo system is determined using the linear-quadratic-regulator (LQR) method. Simulation results demonstrate the effectiveness and advantages of the proposed approach.
SCIENCE CHINA-INFORMATION SCIENCES
(2022)
Article
Automation & Control Systems
Meiliu Li, Jinhua She, Chuan-Ke Zhang, Zhen-Tao Liu, Min Wu, Yasuhiro Ohyama
Summary: This study integrates the equivalent-input-disturbance approach in a PI control system to improve control performance for systems with time delays. By calculating controller parameters and stability conditions, the effectiveness and superiority of the method are verified.
Article
Mathematics, Applied
Xiang Yin, Jinhua She, Min Wu, Daiki Sato, Kouhei Ohnishi
Summary: This paper uses sliding-mode control to compensate for estimation errors in an equivalent-input-disturbance compensator. It presents a method of designing a small switching gain based on the estimation error to solve the chattering problem. The proposed SMC-based-EID control system improves disturbance suppression performance and demonstrates robustness against measurement noise.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Automation & Control Systems
Youwu Du, Weihua Cao, Jinhua She, Min Wu, Mingxing Fang, Seiichi Kawata
Summary: The improved equivalent-input-disturbance approach compensates for the effects of disturbances and uncertainties through the design of an estimator, allowing for a decrease in system sensitivity. There is insufficient analysis of the influence of uncertainties on control performance and system stability. The addition of a new filter removes constraints between design parameters and uncertainties, enhancing system robustness.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Engineering, Electrical & Electronic
Mingchao Yan, Yonghua Xiong, Jinhua She
Summary: In this article, a deep memory clustering method based on graph convolutional autoencoder (MC-GCAE) is proposed to achieve real-time updating of pseudo-labels and network parameters, addressing the problems of handling human postures and interrupting network updates.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Zhen-Tao Liu, Si-Jun Hu, Jinhua She, Zhaohui Yang, Xin Xu
Summary: Using electroencephalogram (EEG) to recognize human emotion has attracted increasing attention. This study proposes a combined feature extraction method in the variational mode decomposition (VMD) domain to extract local features of EEG signals and overcome the effects caused by nonstationarity. Experimental results demonstrate the effectiveness of this method.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
(2023)
Article
Environmental Sciences
Yuhao Zhou, Man Wei, Yanpeng Li, Ming Tang, Haoqiang Zhang
Summary: Arbuscular mycorrhizal fungi (AMF) can decrease the toxicity of lead to Platycladus orientalis under lead stress, while also improving its growth and antioxidant system activity. However, lead inhibits the symbiosis between AMF and P. orientalis.
INTERNATIONAL JOURNAL OF PHYTOREMEDIATION
(2023)
Article
Automation & Control Systems
Yibing Wang, Manli Zhang, Chengda Lu, Shengnan Tian, Jinhua She, Min Wu
Summary: This paper presents an optimization design method for a two-dimensional modified repetitive control system with an anti-windup compensator. It establishes a 2D hybrid model considering actuator saturation to describe the control and learning of the system. The stability of the system is ensured through a linear-matrix-inequality (LMI)-based sufficient condition. Two tuning parameters are used to adjust the control and learning, and a new cost function is developed to evaluate the control performance efficiently. The proposed adaptive multi-population particle swarm optimization algorithm selects optimal tuning parameters, and an anti-windup term is added to mitigate the effect of actuator saturation. Simulations and experiments validate the effectiveness of the approach.
Article
Automation & Control Systems
Xin Xin, Yannian Liu, Shinsaku Izumi, Taiga Yamasaki, Jinhua She
Summary: This paper addresses the swing-down control of the Acrobot by proposing a sinusoidal-derivative (SD) controller. Under the conditions of no friction and measurability of only the angle and angular velocity of the actuated joint, the control objective of rapidly stabilizing the Acrobot around the downward equilibrium point is achieved through optimized control gains.
Article
Automation & Control Systems
Youwu Du, Weihua Cao, Jinhua She, Bo Li, Erlin Zhu, Mingxing Fang
Summary: This paper addresses the control problem of an uncertain system suffering from an exogenous disturbance. A new degree of control freedom is developed based on the equivalent-input-disturbance (EID) approach. A state observer and an improved EID (IEID) estimator are devised to compensate for the disturbance and uncertainties in a control law. The validity of the presented method is demonstrated through simulations and experiments.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Correction
Education & Educational Research
Xiaolan Zhou, Shumei Chen, Sumio Ohno, Jinhua She, Hiroyuki Kameda
ASIA PACIFIC EDUCATION REVIEW
(2023)
Article
Education & Educational Research
Xiaolan Zhou, Shumei Chen, Sumio Ohno, Jinhua She, Hiroyuki Kameda
Summary: Pre-class learning is crucial in the flipped classroom, but motivating students to engage in autonomous learning is challenging, especially for foreign language learning. In this study, we developed a motivational model and strategies to improve and maintain students' motivation in pre-class learning. Through a pilot study in a beginner Chinese course at Tokyo University of Technology, we found that the motivational design effectively enhanced students' engagement and academic outcomes. The practice of flipped classroom with motivational design is significant for foreign language teaching and learning, and the model and instructional design have potential applications in other language courses.
ASIA PACIFIC EDUCATION REVIEW
(2023)
Review
Computer Science, Artificial Intelligence
Jundong Wu, Yawu Wang, Wenjun Ye, Jinhua She, Chun-Yi Su
Summary: Liquid crystal elastomer is a soft material with unique properties that can deform under different external stimuli, offering various possibilities in the field of soft robot actuators. However, the modeling and control strategies for these actuators are still in the preliminary stage, with existing studies mainly focusing on material properties and fabrication. This review aims to provide a collection of recent studies on the modeling and control of liquid crystal elastomer-based actuators, introducing their deformation mechanism and basic concepts while organizing and summarizing existing research.
JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Mingyuan Xie, Jinhua She, Zhen-Tao Liu, Zhaohui Yang
Summary: Tremors are a symptom of various nervous system disorders, including Parkinson's disease. Exoskeletons have been explored as a noninvasive alternative for tremor suppression instead of medication and surgery. This study introduces an alternative approach based on an adaptive filter and compares the effectiveness of low-pass filters and adaptive filters.
JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS
(2023)
Article
Automation & Control Systems
Xiang Yin, Yuntao Shi, Jinhua She, Hanping Wang
Summary: This article reviews the concept, analysis, development, and applications of the equivalent-input-disturbance (EID) approach. It discusses the definition and existence of EID, the configuration of the EID estimator, estimation errors, and error-suppression methods. The article also explores the challenges of applying the EID approach to handle nonlinearities, time delays, uncertainties, and highlights future directions for the theory and applications of EID.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Zewen Wang, Jinhua She, Feng Wang, Juan Zhao, Daiki Sato
Summary: This article presents an inside observation of a disturbance-compensation error in the equivalent-input-disturbance (EID) approach and identifies two types of causes: disturbance- and state-estimation errors. A modified EID (MEID) approach is introduced to address each type separately. High-gain observer is utilized to ensure rapid convergence of the disturbance-estimation error, considering its unmeasurable nature. The MEID approach incorporates a weighted output-estimation error, generated by a state observer, to compensate for the state-estimation error within a specified frequency range. A stability condition is established for an MEID-based control system. Parameters of a filter and an observer are jointly optimized based on a time-domain performance index with a frequency domain constraint. Experimental comparison with alternative EID approaches highlights the superiority of the MEID approach.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Automation & Control Systems
Xiang Yin, Yuntao Shi, Jinhua She, Mingyuan Xie, Zewen Wang
Summary: This article overcomes the limitations of applying an equivalent-input-disturbance (EID) approach to nonlinear systems by removing the requirement for the highest angular frequency of disturbances and unknown nonlinearities. An improved EID approach is presented, expanding its application range and enhancing its ability to reject nonlinearities. The method has additional merits, improving nonlinearity-compensation and disturbance-rejection performances while maintaining configuration simplicity.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Automation & Control Systems
Mingyuan Xie, Jinhua She, Zhen-Tao Liu, Dan-Yun Li
Summary: This article presents an estimation strategy that combines an improved RLS algorithm and the EID approach to estimate the time-varying MOI in a permanent-magnet synchronous motor in real-time. The main feature of the method is to improve the estimation accuracy of MOI by incorporating an MOI estimate into disturbance estimation and using an EID estimate in the MOI estimation.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Chaojie Zhu, Jicheng Chen, Jinhua She, Hui Zhang
Summary: This article presents a novel deep learning-based proportional multiple-integral observer for reconstructing actuator faults of quadrotors. The observer consists of a deep neural network observer, a nonlinear saturation function, and a linear-parameter-varying-based PMI observer. Experimental results demonstrate that the DL-PMI observer has higher estimation accuracy for actuator faults than the PMI observer while the convergence can still be guaranteed.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
