Article
Automation & Control Systems
Sheng-Juan Huang, Liang-Dong Guo, Li-Bing Wu, Peng Huang
Summary: This paper mainly focuses on fault estimation for a class of T-S fuzzy systems with faults, and proposes a synthetic estimation observer design method that can cover existing robust, adaptive, and intermediate estimation observers. Based on this method, an LTF-based sliding mode observer is designed for the T-S fuzzy system, which can effectively estimate the occurring faults. The obtained LMI-based conditions ensure the boundedness of the error dynamics. A numerical example is provided to verify the proposed method.
Article
Automation & Control Systems
Alberto Castillo, Pedro Garcia
Summary: This study investigates the prediction of future states of an LTI system affected by continuously differentiable unknown disturbances, proposing observer design methodologies to reduce prediction errors. Comparisons with other solutions are made, providing valuable insights for control purposes.
Article
Automation & Control Systems
Yankai Li, Mou Chen, Tao Li, Huijiao Wang
Summary: This article studies resilient anti-disturbance control for an uncertain turbofan system with unmeasured states and multiple disturbances. By using state and disturbance observers, the system is able to estimate unmeasured states and unknown disturbances, leading to control strategies that reject disturbances and enhance system robustness. Lyapunov stability theory and LMI technology are utilized to design algorithms for checking controller gain and observer performance, with numerical simulations demonstrating the effectiveness of the proposed methods.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Moxuan Guo, Song Zhu, Xiaoyang Liu
Summary: This paper investigates the observer-based state estimation of memristive neural networks (MNNs) with time-varying delay. A new full-order state observer based on system measurement output is developed to obtain accurate state information of the switching MNNs system. Set-valued maps and differential inclusions are applied to derive sufficient conditions for delay-independent and delay-dependent asymptotic stability. The validity of theoretical results is verified through numerical examples.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Mathematics, Applied
Mohamad Sleiman, Rachid Bouyekhf, Zaher Al Chami, Abdellah El Moudni
Summary: The paper aims to establish a control strategy to prevent congestion in the transportation network by stabilizing lanes around their nominal situations. By modeling the system with additive uncertainties using the store and forward approach, a state feedback traffic light control law is established to stabilize lanes while satisfying constraints. An observer is proposed to estimate uncertainties that may affect control performance, with simulations demonstrating the effectiveness of the proposed control under different levels of uncertainties.
JOURNAL OF APPLIED MATHEMATICS AND COMPUTING
(2022)
Article
Mathematics, Applied
Junkang Tian, Zerong Ren, Yanmin Liu
Summary: This paper studies the stability analysis of systems with an interval time-varying delay. New integral inequalities are introduced and less conservative stability criteria are proposed based on these inequalities. The advantages of these criteria are demonstrated through numerical examples.
Article
Chemistry, Multidisciplinary
Kwang-Hee Lee, Hyungjong Kim, Tae-Yong Kuc
Summary: This paper presents a state observer for an elastic joint with nonlinear friction using an acceleration sensor. The observer estimates the nonlinear friction and obtains the acceleration information of the link. The results show that the observer guarantees zero estimation error for the position and velocity of the link connected via an elastic joint with nonlinear stiffness, and the observer gain can be designed through LMI optimization. Experimental results verify the performance of the proposed observer.
APPLIED SCIENCES-BASEL
(2022)
Article
Automation & Control Systems
Iman Zare, Peyman Setoodeh, Mohammad Hassan Asemani
Summary: This paper proposes an active fault-tolerant control approach for linear discrete-time systems, which considers unknown disturbances, input constraint, and time-varying actuator faults. The proposed method suppresses the effects of disturbances and faults, while ensuring input-constraint satisfaction, by manipulating the reference input and nominal controller evolution. Linear matrix inequality conditions are used to minimize the ultimate bound of the input-to-state stability criterion. Comparative simulation results are presented to demonstrate the effectiveness of the proposed control strategy.
Article
Engineering, Electrical & Electronic
Marjan Shafiee-Rad, Mahdieh S. Sadabadi, Qobad Shafiee, Mohammad Reza Jahed-Motlagh
Summary: This paper presents a decentralized voltage control scheme for robust stability and performance of islanded DC microgrids. The scheme has scalable design procedure, completely decentralized structure, and ensures robust stability and performance of microgrid system under various uncertainties.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Automation & Control Systems
Graziano Chesi
Summary: This article focuses on two-dimensional uncertain systems and addresses the problems of establishing robust structural stability, computing stability margins, and determining maximum uncertainty amplification. It proposes sufficient linear matrix inequality conditions and analyzes the nonconservatism of the results.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Graziano Chesi
Summary: This article addresses the problems of establishing structural stability and the L-2 gain of 2-D mixed continuous-discrete time systems. The first contribution is to show that Lyapunov functions quadratically dependent on the frequency are exact for establishing structural stability. The second contribution is to propose a novel linear matrix inequality (LMI) necessary and sufficient condition for establishing the existence of such Lyapunov functions. The third contribution is to show that the proposed methodology can be used to establish upper bounds on the L-2 gain, in particular, deriving a novel necessary and sufficient LMI condition based on Lyapunov functions quadratically dependent on the frequency. Finally, the article presents the generalization of the proposed methodology to nonmixed 2-D systems.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Automation & Control Systems
Jun Ma, Haiyue Zhu, Xiaocong Li, Wenxin Wang, Clarence W. de Silva, Tong Heng Lee
Summary: This article investigates the design of a robust fixed-order controller for single-input-single-output (SISO) polytopic systems with interval uncertainties. It establishes the equivalence between strictly positive realness (SPRness) and strictly bounded realness (SBRness) and transforms the specifications on robust stability and performance into the SPRness of newly constructed systems. The proposed methodology significantly reduces the computational burden and provides less conservative requirements for system performance.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Ayyoub Ait Ladel, Abdellah Benzaouia, Rachid Outbib, Mustapha Ouladsine
Summary: This paper addresses the issues of state/fault estimation and observer-based control for switched systems with sensor faults. A new separation principle is developed using the mode-dependent average dwell time concept and Lyapunov stability theory, allowing formalizing the observer-based controller design in the form of linear matrix inequalities. The practicality and efficiency of the obtained results are demonstrated through examples including a HiMAT aircraft technology example, a DC-DC boost converter example, and a numerical example.
Article
Mathematics
Masoud Chatavi, Mai The Vu, Saleh Mobayen, Afef Fekih
Summary: This paper proposes a nonlinear state feedback controller based on linear matrix inequality (LMI) for handling nonlinear systems with parametric uncertainties and external disturbances. The proposed controller aims to ensure system stability and performance in the presence of uncertainties and time-dependent disturbances. Through mathematical derivation and simulation experiments, the effectiveness and performance of the controller are verified.
Article
Engineering, Electrical & Electronic
Maxiao Hou, Huaitao Shi
Summary: This article presents a scheme for detecting the stator-winding incipient shorted-turn fault of the motor system in the motorized spindle by establishing an appropriate model, aiming to enhance electromagnetic disturbance robustness and fault sensitivity.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Mathematics, Applied
Xu-Kang Chang, Yong He, Zhen-Man Gao
Summary: This article investigates the problem of global exponential stability of neural networks with a time-varying delay. By establishing an improved augmented delay-product-type Lyapunov-Krasovskii functional and utilizing the cross-term relationships and negative-determination lemma, a stability criterion is obtained.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Automation & Control Systems
Yong He, Chuan-Ke Zhang, Hong-Bing Zeng, Min Wu
Summary: This paper investigates the characteristics of variable-augmented-based free-weighting matrices and their application to stability analysis in systems with time-varying delay. By introducing variable-augmented-based free-weighting matrices, the higher-order terms of time-varying delay are avoided in estimating the derivative of the Lyapunov-Krasovskii functionals, leading to an improved stability condition. The common characteristics and additional functions of the variable-augmented-based free-weighting matrices are analyzed, and a basic criterion is given to remove unnecessary matrices, resulting in more efficient results.
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
Xiang Yin, Jinhua She, Zhen-Tao Liu, Yonghua Xiong
Summary: This article aims to suppress the effects of estimation errors and improve disturbance-suppression performance by connecting multiple artificial disturbances. A parameter p is designed to simplify the conventional EID estimator, and a parallel-EID (PEID) approach is proposed, which has many advantages. The PEID approach outperforms previous studies in disturbance-suppression performance, with a simple and universal configuration. Additionally, a novel virtual filter is designed to transform the PEID-based control system into an equivalent configuration for deriving stability conditions easily. The PEID approach is applied to control the speed of a permanent magnet synchronous motor, and comparisons with other approaches confirm its validity and superiority.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(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
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
Automation & Control Systems
Yang Li, Yong He, Chuan-Ke Zhang, Min Wu
Summary: This article proposes a discrete-state decomposition technique for dissipativity problem in discrete-time singular systems with time-varying delays. By establishing the state-decomposed Lyapunov function and using zero-value equations and inequalities to bound the forward difference of the Lyapunov function, less conservative dissipativity criteria with lower computational complexity are obtained.
IEEE TRANSACTIONS ON CYBERNETICS
(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)
