相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。
Article
Automation & Control Systems
Fei Han et al.
Summary: This paper investigates the problem of distributed H∞-consensus control for a class of multi-rate multi-agent systems with fading measurements. A multi-rate sampling strategy is employed to better align with practical needs, and the communication channels between each agent and its sensor fade non-identically. The multi-rate system is transformed into a single-rate system using the lifting technique. To reduce transmission burden, a dynamic event-triggered mechanism is utilized to determine when each agent's information should be transmitted to its neighbors. The paper aims to design an observer-based event-triggered controller for each agent with the goal of achieving the H∞-consensus control performance constraint. Sufficient conditions are derived based on Lyapunov stability theory to ensure the desired control performance for the resulting closed-loop systems, and the necessary gain matrices are computed by solving linear matrix inequalities. Finally, a numerical simulation example is provided to validate the effectiveness of the distributed event-triggered consensus control scheme.
SYSTEMS SCIENCE & CONTROL ENGINEERING
(2023)
Article
Automation & Control Systems
Shuai Liu et al.
Summary: This article addresses the finite-horizon H-8 filtering problem of discrete time-varying nonlinear systems over high-rate networks using the FlexRay protocol. The deployment of a high-rate network improves the efficiency of data transmission, while the FlexRay protocol increases transmission flexibility. The proposed measurement model, based on the round-robin and try-once-discard protocols, guarantees desirable disturbance attenuation and provides a parameterized form of the filter gain.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Engineering, Multidisciplinary
Lin-Hao Zhao et al.
Summary: This paper investigates the problem of finite-time synchronization and finite-time H-infinity synchronization for coupled neural networks with multiple state/derivative couplings. It proposes sufficient conditions to guarantee the finite-time synchronization for the two networks using inequality techniques. It also solves the finite-time H-infinity synchronization problems for the networks based on Lyapunov functional. Additionally, nonchattering controllers are designed to overcome the chattering phenomenon in a finite-time controller with the sign function. Numerical examples are provided to illustrate the effectiveness and correctness of the results.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Automation & Control Systems
Fanrong Qu et al.
Summary: This paper investigates distributed fusion over sensor networks with probabilistic constraints and stochastic perturbations. A new event-triggering mechanism called TETM is utilized to save bandwidth resources, and a time-varying distributed fusion filter is designed. Global fusion is obtained through recursive linear matrix inequality technique, and local filter parameters are computed by solving an optimization problem. A numerical simulation is used to illustrate the effectiveness of the proposed distributed fusion strategy.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Automation & Control Systems
Wen Li et al.
Summary: This study addresses the consensus tracking problem for second-order multi-agent systems under channel fading by introducing an event-triggered sliding mode controller to reduce network burden. The statistical characteristic of channel fading is integrated into the measurement function to mitigate the impact on transmission among followers. Theoretical analysis confirms the reachability and stability of the multi-agent system, while also demonstrating the event triggering strategy's ability to eliminate Zeno behavior. A simulation example is provided for verification.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Engineering, Mechanical
Xiaoxiao Zhao et al.
Summary: This paper addresses the distributed recursive filtering problem for a class of time-varying multi-rate systems in sensor networks with stochastic nonlinearities and the Round-Robin (RR) protocol. By utilizing the lifting technique and RR protocol, the proposed design scheme aims to minimize the filtering error covariance effectively. Additionally, a sufficient condition for the uniform boundedness of the filtering error covariance is established through mathematical induction.
NONLINEAR DYNAMICS
(2022)
Article
Automation & Control Systems
Huazhen Fang et al.
Summary: This paper introduces an innovative saturation mechanism to make the Extended Kalman Filter robust against outliers, leading to the development of robust EKF approaches for both continuous- and discrete-time systems. The proposed approaches demonstrate the capability to reject outliers of various magnitudes, types, and durations at significant computational efficiency without requiring additional measurement redundancy.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2022)
Article
Automation & Control Systems
Licheng Wang et al.
Summary: This paper investigates the state estimation problem for a type of time-delayed artificial neural networks with gain perturbations under the adaptive event-triggering scheme. The event-triggering scheme is adopted to avoid wasting resources during data transmission from sensors to the estimator, with dynamically adjustable triggering threshold. By utilizing the Lyapunov stability theory, sufficient conditions are provided to ensure asymptotical stability and I-2-I-infinity performance of the estimation error dynamics. The desired non-fragile estimator gain is parameterized by solving specific matrix inequalities. Finally, a numerical simulation example demonstrates the usefulness of the proposed event-based non-fragile state estimator.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Automation & Control Systems
Shuai Liu et al.
Summary: In this study, a set-membership state estimator design scheme based on the FlexRay protocol is proposed. By introducing a new expression and a multirate model, the true states are guaranteed to always reside in an ellipsoid at each time instant even in the presence of non-Gaussian noises.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Huimin Tao et al.
Summary: This study addresses the problem of H-infinity state estimation for discrete-time memristive neural networks with time-varying delays and randomly occurring denial-of-service attacks. The proposed state estimation method ensures the stability of the error system and meets the desired disturbance attenuation level. Sufficient conditions for solving this problem are established using Lyapunov function and stochastic analysis techniques. The effectiveness of the proposed method is demonstrated through a numerical example.
SYSTEMS SCIENCE & CONTROL ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Ramalingam Sakthivel et al.
Summary: This article investigates the robust asynchronous filtering problem for a class of discrete-time T-S fuzzy complex dynamical networks subjected to random coupling delays and deception attacks. The deception attacks are considered in the filter, where false information data is injected to modify the transmitted signal. The stability of the error system with a prescribed performance index is ensured by establishing a new set of sufficient conditions using Lyapunov-Krasovskii stability theory and Abel lemma-based finite-sum inequality. The proposed filter parameters are obtained through solving linear matrix inequalities. The effectiveness and advantages of the proposed filter are verified through numerical examples, including a tunnel diode circuit model.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Ramalingam Sakthivel et al.
Summary: This article addresses the fault estimation and nonfragile synchronization control for multiweighted complex dynamical networks against deception attacks. An event-triggered mechanism is proposed to reduce redundant data transmission. Using stochastic variables and linear matrix inequalities, robust analysis method and solvability criteria are presented to achieve stability and performance guarantee for the system.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Peng Cheng et al.
Summary: This article addresses the design issue of fuzzy asynchronous fault detection filter for a class of nonlinear Markov jump systems by using an event-triggered scheme. The asynchronous phenomenon between system and filter is characterized via a hidden Markov model with partly accessible mode detection probabilities, and sufficient conditions for the presence of FAFDF are obtained applying Lyapunov function methods.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Xuegui Li et al.
Summary: This paper proposes a microseismic denoising filter based on sparse autoencoder and Kalman filtering. Through experiments with a dataset of 600 surface microseismic signals, the feasibility and effectiveness of this method in improving signal-to-noise ratio are demonstrated.
SYSTEMS SCIENCE & CONTROL ENGINEERING
(2022)
Article
Automation & Control Systems
Licheng Wang et al.
Summary: This paper addresses the state estimation problem of a class of linear continuous-time systems under bit rate constraints. By using the singular value decomposition technique, an event-based encoding strategy is developed to reduce network resource consumption. The exclusion of the Zeno phenomenon is proven, and sufficient conditions for bounded decoding error are established. A necessary condition is proposed to derive a lower bound on the bit rate where the decoding error diverges. The explicit expression of the desired state estimator is parameterized, and the boundedness of the estimation errors is analyzed.
Article
Engineering, Electrical & Electronic
Licheng Wang et al.
Summary: This paper addresses the issue of secure estimation for the state of charge of Lithium-ion batteries in the context of malicious attacks during data transmission from sensors to cloud-based battery management system terminal. It introduces a second-order resistance-capacitance equivalent circuit model for describing the internal dynamics of lithium-ion batteries, with parameters identified using Kalman filter in an off-line manner. The paper then proposes a chi(2) detection mechanism to detect real-time malicious attacks, and designs a secure estimator to mitigate the impact of attacks on the estimation performance. Experimental results under Federal Urban Driving Schedule condition validate the effectiveness of the proposed attack detection approach and estimation scheme.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2022)
Article
Automation & Control Systems
Jun Song et al.
Summary: This article proposes a novel periodic event-triggered terminal sliding mode (TSM) speed regulation scheme for the networked permanent-magnet synchronous motor (PMSM). The scheme combines the advantages of TSM control and periodic event-triggered mechanism, ensuring satisfactory speed regulation performance and reducing communication burden. An extended state observer is introduced to estimate perturbations and a binary-based genetic algorithm is used to optimize observer parameters. The proposed scheme guarantees the reachability of the sliding region and the ultimate boundedness of regulation errors.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Computer Science, Artificial Intelligence
Qi Li et al.
Summary: This article discusses a method for estimating states and unknown inputs in complex networks, utilizing redundant channels and dynamic event-triggered mechanisms to improve estimation accuracy and energy efficiency.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Automation & Control Systems
Jun Song et al.
Summary: This article introduces a novel periodic event-triggered terminal sliding mode speed regulation scheme for networked permanent-magnet synchronous motor (PMSM), which combines the advantages of terminal sliding mode control and periodic event-triggered mechanism. The satisfied speed regulation performance is guaranteed by compensating for external disturbances and parameter uncertainties. The communication burden between the central controller and the remote motor is reduced, and an extended state observer is used to estimate perturbations and optimize observer parameters using a binary-based genetic algorithm.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Automation & Control Systems
Sijing Zhang et al.
Summary: This paper investigates the event-based state and unknown input estimation problem for a class of stochastic systems. By employing an event-triggering protocol and a recursive estimator, state and unknown input are estimated simultaneously. The effectiveness of the proposed SUIE method is demonstrated through a numerical example.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Engineering, Electrical & Electronic
Hamideh Jafari et al.
Summary: This paper presents a new method for robust fault diagnosis in discrete-time linear stochastic systems based on data-sending management. The method significantly attenuates the effects of disturbances by identifying a disturbance-independent subspace and designing residual signals. Simulation results demonstrate the effectiveness of the proposed methodology in fault diagnosis while decreasing the data-sending rate.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Juan Liu et al.
Summary: This work investigates the UAV-enabled data collection problem for high information freshness in wireless sensor networks, formulating two optimization problems to minimize the maximal and average Age of Information (AoI) of Sensor Nodes (SNs). It proposes an iterative SN association and trajectory planning policy to seek age-optimal solutions, striking a balance between SNs' uploading time and UAV's flight time through optimized clustering weight.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Shenghuang He et al.
Summary: This article investigates the finite-time consensus tracking of multi-robotic systems with disturbances using integral sliding mode control (ISMC). The main focus is on designing consensus tracking protocols. A continuous super twisting (ST) consensus protocol is proposed to guarantee accurate consensus in the presence of disturbances, and adaptive mechanism and ISMC are integrated for systems without prior knowledge of disturbances. The effectiveness of the strategy is demonstrated through numerical examples.
Article
Automation & Control Systems
Qi Li et al.
Article
Automation & Control Systems
Derui Ding et al.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2020)
Article
Engineering, Aerospace
Xiaoxue Feng et al.
CHINESE JOURNAL OF AERONAUTICS
(2020)
Article
Computer Science, Artificial Intelligence
Shuai Liu et al.
Article
Automation & Control Systems
Xiaohua Ge et al.
IEEE TRANSACTIONS ON CYBERNETICS
(2019)
Article
Automation & Control Systems
Liang Hu et al.
INTERNATIONAL JOURNAL OF CONTROL
(2018)
Article
Automation & Control Systems
Mohammad Rashedi et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2018)
Article
Computer Science, Theory & Methods
Huisheng Shu et al.
INTERNATIONAL JOURNAL OF GENERAL SYSTEMS
(2016)
Article
Automation & Control Systems
Antoine Girard
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2015)
Article
Automation & Control Systems
Qinyuan Liu et al.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2015)
Article
Engineering, Aerospace
Jianxin Feng et al.
AEROSPACE SCIENCE AND TECHNOLOGY
(2011)
Article
Automation & Control Systems
Guoliang Wei et al.
Article
Automation & Control Systems
Yurong Liu et al.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2007)
Article
Automation & Control Systems
Steven Gillijns et al.
Article
Automation & Control Systems
Wilfried Elmenreich
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2006)
Article
Engineering, Electrical & Electronic
F Wang et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2002)
