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Article
Automation & Control Systems
Dan Zhang et al.
Summary: This article addresses the problem of resilient cooperative output regulation for a class of uncertain nonlinear multiagent systems (MASs) under denial-of-service (DoS) attacks. A novel distributed control scheme is proposed, which includes a resilient distributed observer and a distributed adaptive controller. The effectiveness of the proposed control scheme is demonstrated through a simulation example.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Xiaohua Ge et al.
Summary: This paper proposes a distributed platooning control method for CAVs that can accommodate various uncertainties and ensure stability, safety, and scalability.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2023)
Article
Automation & Control Systems
Xiaohua Ge et al.
Summary: This paper focuses on the co-design problem of event-triggered communication scheduling and platooning control over vehicular ad-hoc networks (VANETs) subject to finite communication resources. A unified model is presented to describe the coordinated platoon behavior of leader-follower vehicles, and a novel bandwidth-aware dynamic event-triggered scheduling mechanism is developed. Sufficient conditions for stability and performance analysis are derived.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2022)
Article
Automation & Control Systems
Chao Deng et al.
Summary: This paper addresses the problem of resilient practical cooperative output regulation for heterogeneous linear multi-agent systems with unknown switching exosystem dynamics under denial-of-service (DoS) attacks. A novel control scheme is proposed, which includes a learning algorithm, an auxiliary observer, distributed resilient observers, and distributed controllers. The stability analysis shows that the proposed scheme can handle DoS attacks and solve the output regulation problem.
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
Engineering, Civil
Randhir Kumar et al.
Summary: With the development of Internet of Vehicles (IoV), integrating IoT and manual vehicles in ITS brings challenges such as security vulnerabilities and data privacy. To address these challenges, a Privacy-Preserving based Secured Framework for Internet of Vehicles (P2SF-IoV) is proposed, which integrates blockchain and deep learning techniques to securely transmit data and detect intrusion. Experimental results show that P2SF-IoV outperforms other privacy-preserving intrusion detection strategies.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Automation & Control Systems
Shuai Liu et al.
Summary: This article develops a pinning control strategy for the finite-horizon H-infinity synchronization problem in a kind of discrete time-varying nonlinear complex dynamical network in a digital communication circumstance. A feedback-type dynamic quantizer is introduced to comply with the digitized data exchange, and a quantized pinning control scheme is applied on a small fraction of the network nodes to reduce control expenses while achieving the desired global synchronization objective. The article establishes a sufficient condition using the completing-the-square technique to ensure the finite-horizon H-infinity index of the synchronization error dynamics against quantization errors and external noises. A controller design algorithm is proposed based on an auxiliary H-2-type criterion, and the desired controller gains are obtained through two coupled backward Riccati equations. The validity of the presented results is verified through a simulation example.
IEEE TRANSACTIONS ON CYBERNETICS
(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
Bomin Huang et al.
Summary: This paper addresses the time-varying economic dispatch problem and proposes a distributed algorithm based on the prediction-correction framework and consensus innovation method. By introducing sensitivity analysis and sub-optimal analysis, the overall optimal errors are computed and the convergence is analyzed. Furthermore, a dynamic prediction-correction algorithm is presented to improve accuracy, which is validated through numerical examples.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2022)
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
Zhongyuan Zhao et al.
Summary: This paper proposes a distributed convex optimization algorithm for multi-agent systems, which reduces communication traffic and update frequency through sampling control and event-trigger mechanisms, ensures system stability, and ultimately converges to the global optimal point.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Automation & Control Systems
Jun Hu et al.
Summary: This paper reviews the latest state estimation schemes for complex dynamical networks (CDNs), covering various methods under different performance indices and focusing on protocol-based and compensation-based state estimation approaches. Challenging problems for future research are outlined to promote theoretical developments in related fields.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Automation & Control Systems
Jun Hu et al.
Summary: This paper discusses the challenges brought by the insertion of communication networks in networked control systems and the role and application of sliding mode control in NCSs. The article summarizes new sliding mode control schemes for issues such as time delays, packet losses, quantization, and uncertainty/disturbance in NCSs, and discusses the introduction of communication protocols for energy saving purposes under scheduling protocols.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Automation & Control Systems
Lei Zou et al.
Summary: This work surveys the control and filtering problems of networked systems under the effects induced by communication protocols, introducing the engineering background and theoretical frameworks. It reviews recent advances in stability analysis, control, and filtering problems subject to protocol scheduling, as well as provides a review of fault diagnosis problems and outlines research challenges for future work in communication-protocol-based control and filtering.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Automation & Control Systems
Zhihui Hu et al.
Summary: This study investigates the finite-time consensus control problem for a class of mixed-order multi-agent systems with stochastic noises and nonlinear dynamics. By using the adding a power integrator technique in combination with Lyapunov stability theory, a distributed consensus control protocol is developed to ensure agents' states achieve the desired consensus in finite time. A simulation example is provided to demonstrate the correctness and usefulness of the proposed theoretical results.
SYSTEMS SCIENCE & CONTROL ENGINEERING
(2021)
Article
Automation & Control Systems
Lin Xu et al.
Summary: This paper proposes an improved particle swarm optimization algorithm, PSO-AWDV, which adaptively updates velocity inertia weight based on the evolutionary state of the particle swarm evaluated via a new estimation method. Experimental results confirm that the performance of PSO-AWDV is superior to several well-known PSO variants and intelligent optimization algorithms.
SYSTEMS SCIENCE & CONTROL ENGINEERING
(2021)
Article
Computer Science, Information Systems
Saurabh Singh et al.
Summary: This paper discusses the application of blockchain technology in IoT systems, addressing relevant concepts and security attacks, and proposing solutions.
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Engineering, Electrical & Electronic
Rui-Guo Li et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2020)
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Guanghui Wen et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2020)
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Xiaohua Ge et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2020)
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Jiayun Liu et al.
INTERNATIONAL JOURNAL OF CONTROL
(2019)
Review
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Tao Yang et al.
ANNUAL REVIEWS IN CONTROL
(2019)
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IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2019)
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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2018)
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Shuo Han et al.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2017)
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Erfan Nozari et al.
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Wei Shi et al.
SIAM JOURNAL ON OPTIMIZATION
(2015)
Article
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Peng Yi et al.
SYSTEMS & CONTROL LETTERS
(2015)
Proceedings Paper
Computer Science, Theory & Methods
Zhenqi Huang et al.
PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING AND NETWORKING
(2015)
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Claudio Altafini
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2013)
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Angelia Nedic et al.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2009)
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Housheng Su et al.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2009)
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Bjorn Johansson et al.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2006)
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Cynthia Dwork et al.
THEORY OF CRYPTOGRAPHY, PROCEEDINGS
(2006)
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R Olfati-Saber et al.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2004)