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
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
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
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
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
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
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
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
Automation & Control Systems
Sameh Abd-Elhaleem, Mohamed Soliman, Mohamed Hamdy
Summary: This paper investigates the disturbance rejection and periodic signal tracking problems for linear systems with unknown exogenous disturbances under limited communication resources. The proposed scheme combines the EID estimator with the MRC to achieve periodic reference tracking and enhance disturbance rejection performance. Additionally, a PETFO is introduced to reduce computational burden and save communication resources, with stability ensured using LMIs.
INTERNATIONAL JOURNAL OF CONTROL
(2022)
Article
Automation & Control Systems
Pan Yu, Kang-Zhi Liu, Xudong Liu, Xiaoli Li, Min Wu, Jinhua She
Summary: The article investigates the control method based on the equivalent-input-disturbance (EID) estimator and the Luenberger state observer, revealing the two-degree-of-freedom nature of the control system. It provides an analysis of bandwidth constraints on the inner loop, a coordinated design algorithm, and a comprehensive comparison with disturbance observer (DOB) based control systems. Studies on various plant types validate the developed design algorithm for EID-based control systems.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
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
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
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
Acoustics
Meysam Azhdari, Tahereh Binazadeh
Summary: This article investigates the output tracking problem of uncertain nonlinear sandwich systems with sandwiched dead-zone nonlinearity, proposing a phased design method to address the design complexities. Simulation results demonstrate the acceptable accuracy and effectiveness of the proposed method.
JOURNAL OF VIBRATION AND CONTROL
(2022)
Article
Computer Science, Artificial Intelligence
Sameh Abd-Elhaleem, Mohamed Soliman, Mohamed Hamdy
Summary: This paper considers the problems of periodic signal tracking and disturbance rejection for a class of time-varying delay nonlinear systems with unknown exogenous disturbances under limited communication resources. The Takagi-Sugeno fuzzy model is used to approximate the nonlinear system. The developed scheme achieves periodic reference tracking and improves the performance of periodic and aperiodic unknown disturbances rejection effectively. A fuzzy periodic event-triggered feedback observer is proposed to reduce computational burden, energy consumption, and save communication resources. The overall system consists of the repetitive controller, equivalent-input-disturbance estimator, and fuzzy periodic event-triggered feedback observer based on a Takagi-Sugeno fuzzy model. Sufficient conditions for the asymptotic stability of the overall system subjected to unknown disturbances are derived using stability theory and linear matrix inequalities. Simulation results demonstrate the effectiveness and feasibility of the proposed scheme.
Article
Automation & Control Systems
Cheng-Shan Jiang, Zhen-Tao Liu, Min Wu, Jinhua She, Wei-Hua Cao
Summary: This article proposes an efficient facial expression recognition method based on representation reinforcement network (RRN) and transfer self-training (TST). The RRN consists of surface representation reinforcement (SurRR) module and semantic representation reinforcement (SemaRR) module, which enhance feature extraction capability and reduce computational complexity. The method is tested on multiple datasets and shows high recognition accuracy. The feasibility of the method is demonstrated through a preliminary application experiment during HMI.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Jundong Wu, Yawu Wang, Wenjun Ye, Jinhua She, Chun-Yi Su
Summary: This paper proposes a dynamic modelling approach for liquid crystal elastomer-based actuators (LCEAs) to provide a hybrid model with reduced computational complexity and high precision. The proposed model considers the elastic free energy, the nematic free energy, and the hysteresis as components of the LCEA's behavior. Experimental results demonstrate the effectiveness of the proposed model in characterizing LCEAs' dynamic behaviors.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Automation & Control Systems
Xiang Wu, Qun Lu, Jinhua She, Mingxuan Sun, Li Yu, Chun-Yi Su
Summary: This paper analyzes the convergence of extended state observers (ESOs) for nonlinear systems with non-differentiable uncertainties. A decomposition method is proposed to divide the non-differentiable total disturbance into a differentiable signal and a bounded but non-differentiable signal. Convergence analysis is provided for various types of ESOs, and explicit formulas for the estimation errors are derived. Simulations and experiments validate the analysis results.
Letter
Computer Science, Information Systems
Chuan-Ke Zhang, Ke-You Xie, Yong He, Jinhua She, Min Wu
SCIENCE CHINA-INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Lan Zhou, Changchao Liao, Jinhua She, Yong He, Hongyi Li
Summary: This article introduces a command-filtered backstepping repetitive control method for uncertain nonlinear systems with multiple disturbances. The method is based on the additive-state-decomposition technique and active disturbance rejection approach. By decomposing the original nonlinear system into a linear time-invariant primary system and a nonlinear secondary system, the tracking problem is divided into two subproblems, which are solved using a linear extended state observer and a command-filtered backstepping control law. The method is validated through simulations and comparative experiments.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
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
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, 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
Meiliu Li, Jinhua She, Zhen-Tao Liu, Min Wu, Yasuhiro Ohyama
Summary: This article presents a method for suppressing packet losses and exogenous disturbances in a networked control system subject to network-introduced delays. The method involves designing feedback controllers for the local and main loops, ensuring prompt disturbance suppression and satisfactory tracking performance.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Computer Science, Information Systems
Feng Wang, Jinhua She, Guojun Wang, Yasuhiro Ohyama, Min Wu
Summary: This article introduces a method called Multi-Influor that learns dual-task network embeddings to jointly predict influence probabilities and cascade sizes in the Social Internet of Things (SIoT). It generates multidimensional influence contexts based on random walks and incorporates multiple estimating factors. A new method of learning dual-task network embeddings is devised to capture influence probabilities and cascade sizes. Extensive simulation results show that Multi-Influor outperforms existing methods in accuracy and efficiency, and the joint training method improves overall prediction performance. Moreover, Multi-Influor is a practical method for SIoT sustainable computing.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Cheng-Shan Jiang, Zhen-Tao Liu, Jinhua She
Summary: In this article, a zero-addition pretext training and feature conjunction-selection network (FCSNet) is proposed for facial expression recognition (FER) in human-robot interaction (HRI). The method improves the perception of ocular muscles through the design of the training strategy, and extracts and filters facial expression features through LBP-conjunction convolution and semantic feature selection mechanism (SFSM). The research results show that the method achieves high recognition accuracy in facial expression databases.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Wang Luo, Jian Ge, Haobin Dong, Huan Liu, Jinhua She
Summary: This article proposes an intelligent fullwavenumber fitting algorithm for measuring the frequency of FID signals, and introduces an intelligent noisy point detection method to improve noise suppression. Rigorous testing validates the effectiveness and performance of the proposed algorithm.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Subhrashree Pritichhanda, Somnath Maity, Jinhua She
Summary: This paper presents a new design concept for robust sensorless peak current-mode controlled DC-DC switching converters (SCs). By applying time-scale decomposition, the classical peak current-mode controlled SCs are transformed into a reduced-order system, and composite state and disturbance observers are designed. The paper provides a rigorous stability criterion for closed-loop systems to demonstrate the quantitative robustness between controller gains and parameter uncertainties. It is shown that the proposed design technique offers promising disturbance rejection performance and excellent dynamic performance with reduced hardware complexity. The feasibility of this approach is compared numerically and verified through experiments.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2023)
Article
Automation & Control Systems
Yujian Zhou, Jinhua She, Feng Wang, Makoto Iwasaki
Summary: This study combines an improved equivalent-input-disturbance (IEID) method and a sliding-mode control (SMC) method to enhance the reference tracking and disturbance-rejection performance of a Stewart platform. The internal principle ensures steady-state tracking, while the sliding-mode controller improves disturbance-rejection performance and tracking accuracy. An overall disturbance is regarded as the effect of external disturbances, which is estimated and compensated for by a state observer and an IEID estimator. The stability of the closed-loop system is ensured by designing gains of the IEID estimator and the state observer using a linear matrix inequality. Experimental results demonstrate that this method outperforms the SMC method and the IEID method in terms of disturbance rejection under external disturbances.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Computer Science, Information Systems
Jing Li, Yonghua Xiong, Jinhua She
Summary: This article presents a solution to the UAV path planning problem in a dynamic environment, which uses a greedy allocation strategy for task assignment and an improved ant colony optimization algorithm for path planning. Through simulations, it is shown that the ACO-VP algorithm is more efficient and effective compared to other algorithms.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Mathematics, Applied
Peter Frolkovic, Nikola Gajdosova
Summary: This paper presents compact semi-implicit finite difference schemes for solving advection problems using level set methods. Through numerical tests and stability analysis, the accuracy and stability of the proposed schemes are verified.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Md. Rajib Arefin, Jun Tanimoto
Summary: Human behaviors are strongly influenced by social norms, and this study shows that injunctive social norms can lead to bi-stability in evolutionary games. Different games exhibit different outcomes, with some showing the possibility of coexistence or a stable equilibrium.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Dingyi Du, Chunhong Fu, Qingxiang Xu
Summary: A correction and improvement are made on a recent joint work by the second and third authors. An optimal perturbation bound is also clarified for certain 2 x 2 Hermitian matrices.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Pingrui Zhang, Xiaoyun Jiang, Junqing Jia
Summary: In this study, improved uniform error bounds are developed for the long-time dynamics of the nonlinear space fractional Dirac equation in two dimensions. The equation is discretized in time using the Strang splitting method and in space using the Fourier pseudospectral method. The major local truncation error of the numerical methods is established, and improved uniform error estimates are rigorously demonstrated for the semi-discrete scheme and full-discretization. Numerical investigations are presented to verify the error bounds and illustrate the long-time dynamical behaviors of the equation with honeycomb lattice potentials.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Kuan Zou, Wenchen Han, Lan Zhang, Changwei Huang
Summary: This research extends the spatial PGG on hypergraphs and allows cooperators to allocate investments unevenly. The results show that allocating more resources to profitable groups can effectively promote cooperation. Additionally, a moderate negative value of investment preference leads to the lowest level of cooperation.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Kui Du
Summary: This article introduces two new regularized randomized iterative algorithms for finding solutions with certain structures of a linear system ABx = b. Compared to other randomized iterative algorithms, these new algorithms can find sparse solutions and have better performance.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Shadi Malek Bagomghaleh, Saeed Pishbin, Gholamhossein Gholami
Summary: This study combines the concept of vanishing delay arguments with a linear system of integral-algebraic equations (IAEs) for the first time. The piecewise collocation scheme is used to numerically solve the Hessenberg type IAEs system with vanishing delays. Well-established results regarding regularity, existence, uniqueness, and convergence of the solution are presented. Two test problems are studied to verify the theoretical achievements in practice.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Qi Hu, Tao Jin, Yulian Jiang, Xingwen Liu
Summary: Public supervision plays an important role in guiding and influencing individual behavior. This study proposes a reputation incentives mechanism with public supervision, where each player has the authority to evaluate others. Numerical simulations show that reputation provides positive incentives for cooperation.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Werner M. Seiler, Matthias Seiss
Summary: This article proposes a geometric approach for the numerical integration of (systems of) quasi-linear differential equations with singular initial and boundary value problems. It transforms the original problem into computing the unstable manifold at a stationary point of an associated vector field, allowing efficient and robust solutions. Additionally, the shooting method is employed for boundary value problems. Examples of (generalized) Lane-Emden equations and the Thomas-Fermi equation are discussed.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Lisandro A. Raviola, Mariano F. De Leo
Summary: We evaluated the performance of novel numerical methods for solving one-dimensional nonlinear fractional dispersive and dissipative evolution equations and showed that the proposed methods are effective in terms of accuracy and computational cost. They can be applied to both irreversible models and dissipative solitons, offering a promising alternative for solving a wide range of evolutionary partial differential equations.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Yong Wang, Jie Zhong, Qinyao Pan, Ning Li
Summary: This paper studies the set stability of Boolean networks using the semi-tensor product of matrices. It introduces an index-vector and an algorithm to verify and achieve set stability, and proposes a hybrid pinning control technique to reduce computational complexity. The issue of synchronization is also discussed, and simulations are presented to demonstrate the effectiveness of the results obtained.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Ling Cheng, Sirui Zhang, Yingchun Wang
Summary: This paper considers the optimal capacity allocation problem of integrated energy systems (IESs) with power-gas systems for clean energy consumption. It establishes power-gas network models with equality and inequality constraints, and designs a novel full distributed cooperative optimal regulation scheme to tackle this problem. A distributed projection operator is developed to handle the inequality constraints in IESs. The simulation demonstrates the effectiveness of the distributed optimization approach.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Abdurrahim Toktas, Ugur Erkan, Suo Gao, Chanil Pak
Summary: This study proposes a novel image encryption scheme based on the Bessel map, which ensures the security and randomness of the ciphered images through the chaotic characteristics and complexity of the Bessel map.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Xinjie Fu, Jinrong Wang
Summary: In this paper, we establish an SAIQR epidemic network model and explore the global stability of the disease in both disease-free and endemic equilibria. We also consider the control of epidemic transmission through non-instantaneous impulsive vaccination and demonstrate the sustainability of the model. Finally, we validate the results through numerical simulations using a scale-free network.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Maria Han Veiga, Lorenzo Micalizzi, Davide Torlo
Summary: The paper focuses on the iterative discretization of weak formulations in the context of ODE problems. Several strategies to improve the accuracy of the method are proposed, and the method is combined with a Deferred Correction framework to introduce efficient p-adaptive modifications. Analytical and numerical results demonstrate the stability and computational efficiency of the modified methods.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
