4.6 Article

Resilient and Robust Synchronization of Multiagent Systems Under Attacks on Sensors and Actuators

期刊

IEEE TRANSACTIONS ON CYBERNETICS
卷 50, 期 3, 页码 1240-1250

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2019.2903411

关键词

Distributed adaptive compensator; faulty agents; H-infinity control; malicious agents; resilient synchronization

资金

  1. NSF [ECCS-1405173]
  2. Office of Naval Research [N00014-13-1-0562, N00014-14-1-0718]
  3. Army Research Office [W911NF-11-D-0001]

向作者/读者索取更多资源

Resilient and robust distributed control protocols for multiagent systems under attacks on sensors and actuators are designed. A distributed H-infinity control protocol is designed to attenuate the disturbance or attack effects. However, the H-infinity controller is too conservative in the presence of attacks. Therefore, it is augmented with a distributed adaptive compensator to mitigate the adverse effects of attacks. The proposed controller can make the synchronization error arbitrarily small in the presence of faulty attacks, and satisfy global L-2-gain performance in the presence of malicious attacks or disturbances. A significant advantage of the proposed method is that it requires no restriction on the number of agents or agents' neighbors under attacks on sensors and/or actuators, and it recovers even compromised agents under attacks on actuators. Simulation examples verify the effectiveness of the proposed method.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Energy & Fuels

Dual-Band Reduced-Order Model of an HVDC Link Embedded Into a Power Network for EMT Studies

Carlos A. Ruiz-Zea, Edgar Medina, Abner Ramirez, Ali Mehrizi-Sani, Jose de Jesus Chavez, Ali Davoudi, Mohamed Abdel-Rahman

IEEE TRANSACTIONS ON ENERGY CONVERSION (2020)

Article Energy & Fuels

Macromodeling of Electric Machines From Ab Initio Models

Ajay Pratap Yadav, Tuncay Altun, Ramtin Madani, Ali Davoudi

IEEE TRANSACTIONS ON ENERGY CONVERSION (2020)

Article Automation & Control Systems

Resilient Output Containment of Heterogeneous Cooperative and Adversarial Multigroup Systems

Shan Zuo, Frank L. Lewis, Ali Davoudi

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2020)

Article Energy & Fuels

Hardware-Assisted Simulation of Voltage-Behind-Reactance Models of Electric Machines on FPGA

Ajay Pratap Yadav, Siyuan Xu, Benjamin Carrion Schafer, Ali Davoudi

IEEE TRANSACTIONS ON ENERGY CONVERSION (2020)

Article Energy & Fuels

Assistive Power Buffer Control via Adaptive Dynamic Programming

Paolo Roberto Massenio, David Naso, Frank L. Lewis, Ali Davoudi

IEEE TRANSACTIONS ON ENERGY CONVERSION (2020)

Article Engineering, Electrical & Electronic

Observation of State and Topology in DC Networks

Tuncay Altun, Ramtin Madani, Ali Davoudi

Summary: This paper addresses the challenges of state estimation and topology identification in DC networks, introducing a non-convex nuclear norm estimator to tackle the nonlinear relations between sensor measurements and state variables. The proposed technique is validated through numerical results on modified IEEE systems and experimental validation on a real-time hardware-in-the-loop platform for a converter-augmented 14-bus system.

IEEE TRANSACTIONS ON POWER SYSTEMS (2021)

Article Energy & Fuels

Data-Driven Sparsity-Promoting Optimal Control of Power Buffers in DC Microgrids

Paolo Roberto Massenio, David Naso, Frank L. Lewis, Ali Davoudi

Summary: This article provides a data-driven optimal solution to reduce interactions between different control loops of power buffers while minimizing a closed-loop performance function. Reinforcement learning methods are used to deal with optimal control of nonlinear systems, and a Tabu Search method is employed to address the resulting combinatorial problem. The proposed solutions are validated in a controller/hardware-in-the-loop environment for a DC microgrid.

IEEE TRANSACTIONS ON ENERGY CONVERSION (2021)

Article Engineering, Electrical & Electronic

Topology-Cognizant Optimal Power Flow in Multi-Terminal DC Grids

Tuncay Altun, Ramtin Madani, Ali Davoudi

Summary: This paper proposes a topology-cognizant optimal power flow paradigm for multi-terminal direct current grids, addressing voltage violations by optimizing controller set-points and transmission line switching status. The method tackles non-convexities in power flows and converter loss equations through a mixed-integer second-order cone programming approach, determining optimal switching statuses using branch-and-bound search. Numerical results support the effectiveness of the proposed method, with experimental validation on a real-time hardware-in-the-loop platform.

IEEE TRANSACTIONS ON POWER SYSTEMS (2021)

Article Automation & Control Systems

Induction Machine Parameterization From Limited Transient Data Using Convex Optimization

Ajay Pratap Yadav, Ramtin Madani, Navid Amiri, Juri Jatskevich, Ali Davoudi

Summary: This article identifies the parameters of an induction machine using limited and nonintrusive observations and proposes a method to solve the parameter extraction problem. The proposed method is experimentally verified on an induction machine with missing measured data, and the results show better performance compared to conventional testing.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2022)

Article Automation & Control Systems

Distributed Adaptive Nash Equilibrium Solution for Differential Graphical Games

Yang-Yang Qian, Mushuang Liu, Yan Wan, Frank L. Lewis, Ali Davoudi

Summary: This article investigates differential graphical games for linear multiagent systems with a leader on fixed communication graphs. A distributed adaptive Nash equilibrium solution is proposed, which is not only Nash but also fully distributed in the sense that each agent only uses local information of its own and its immediate neighbors. The solution achieves both asymptotic stability and global Nash equilibrium properties.

IEEE TRANSACTIONS ON CYBERNETICS (2023)

Article Computer Science, Information Systems

Cyber-Physical Anomaly Detection in Microgrids Using Time-Frequency Logic Formalism

Omar Ali Beg, Luan Viet Nguyen, Taylor T. Johnson, Ali Davoudi

Summary: Modern cyber-physical microgrids are vulnerable to cyber-attacks and device failures, and this study utilizes the parametric time-frequency logic framework to detect these anomalies.

IEEE ACCESS (2021)

Proceedings Paper

Formal Online Resiliency Monitoring in Microgrids

Omar Ali Beg, Ajay P. Yadav, Taylor T. Johnson, Ali Davoudi

2020 RESILIENCE WEEK (RWS) (2020)

Proceedings Paper Automation & Control Systems

Data-Driven Optimal Structured Control for Unknown Symmetric Systems

Paolo R. Massenio, Gianluca Rizzello, David Naso, Frank L. Lewis, Ali Davoudi

2020 IEEE 16TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE) (2020)

Article Engineering, Electrical & Electronic

Optimal Reconfiguration of DC Networks

Tuncay Altun, Ramtin Madani, Ajay Pratap Yadav, Adnan Nasir, Ali Davoudi

IEEE TRANSACTIONS ON POWER SYSTEMS (2020)

暂无数据