Article
Automation & Control Systems
Yanfang Lei, Junmin Li
Summary: This paper focuses on stabilizing parabolic systems with time-varying delay, external disturbance, and nonlinear periodic time-varying parameter (NPTVP). A neural networks (NNs) approximator is designed using Fourier series expansion (FSE) method and NNs approximation technology to describe the uncertain dynamic term with NPTVP. Two robust adaptive neural network control (RANNC) algorithms are then designed based on adaptive control theory, NNs approximation technology, and reparameterization method to achieve asymptotic stability and prescribed adaptive H-infinity performance of disturbance attenuation. Sufficient conditions for the stability and performance requirements of the resulting closed-loop systems are derived, and simulations are carried out to verify the effectiveness of the proposed RANNC algorithms.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Computer Science, Theory & Methods
Yuan Wang, Hideaki Ishii, Francois Bonnet, Xavier Defago
Summary: This article addresses novel real-valued consensus problems in the presence of malicious adversaries. By adopting different mobile adversary models, protocols are developed to mitigate the influence of such agents and attain resilient consensus. Network structure conditions are provided for both complete and non-complete directed graphs.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Mengxuan Shi, Xia Chen, Mohammad Shahidehpour, Quan Zhou, Jinyu Wen
Summary: This article introduces an observer-based resilient distributed control for AC microgrids to estimate and compensate false data injection attacks, ensuring the stability and security of the microgrid operation through an integrated distributed control structure.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Automation & Control Systems
Zhaowen Xu, Dan Cui, Yue Wang, Hongye Su, Haoyi Que, Wei Ning
Summary: This paper investigates the asynchronous control issue in continuous-time Markov jump nonlinear systems using an output-based sliding mode approach. A hidden Markov model is used as the mapping mechanism for the asynchronous phenomenon, contributing to the asynchronous sliding mode surface. Sufficient conditions are derived to ensure the mean-square stability of the sliding motion dynamics and its H-infinity noise attenuation performance. The reachability of the sliding surface is guaranteed by a well-defined reaching control law. A numerical example is presented to discuss the significance of the proposed asynchronous issue and verify the effectiveness of the control approach.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
N. Aravinth, R. Sakthivel, T. Satheesh, O. M. Kwon
Summary: In this study, we address the problems of resilient state tracking control and disturbance rejection for periodic piecewise polynomial delay systems in the presence of multiform disturbances and gain fluctuations. We develop tailored disturbance observers to effectively estimate disturbances and lessen the repercussions of norm-bounded disturbances by accounting for extended dissipative performance. By integrating the disturbance observer with feedback-based tracking control, a disturbance rejection-based resilient state tracking control is constructed. Adequate conditions are derived using Lyapunov stability theory, new double integral inequality, and extended Wirtinger's inequality. The controller and observer gain matrices are formulated based on the established criteria. A numerical example is presented to demonstrate the performance and capability of the designed controller.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Automation & Control Systems
Yanhong Liu, Huimin Zhi, Jumei Wei, Xunlin Zhu, Mingliang Xu, Rui Ma, Haiping Du
Summary: This paper investigates the stability of discrete nonlinear switched singular systems with unstable subsystems. New stability results for nonlinear switched singular systems are established by constructing an appropriate multiple discontinuous Lyapunov function and utilizing the characteristics of mode-dependent average dwell time switching signals. The T-S fuzzy modeling method is adopted to approximate the nonlinear switched singular systems and obtain general stability conditions in the form of linear matrix inequalities. Compared to the current results, our technique is more flexible and provides tighter dwell time boundaries. A numerical example is also provided to demonstrate the effectiveness of the proposed method.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Computer Science, Information Systems
Mohammad Raeispour, Hajar Atrianfar, Hamid Reza Baghaee, Gevork B. Gharehpetian
Summary: This article proposes a novel robust distributed cooperative control scheme for off-grid microgrids, designed to address external disturbances and uncertainties in communication links effectively.
IEEE SYSTEMS JOURNAL
(2021)
Article
Automation & Control Systems
An -Yang Lu, Guang-Hong Yang
Summary: This paper addresses the problem of distributed secure state estimation in cyber-physical systems monitored by a multi-agent network with malicious agents. A novel strategy is proposed using a sort and filter approach to mitigate the impact of malicious agents. Sufficient conditions for tolerating a bounded number of malicious agents are given. Simulation results demonstrate the effectiveness of the proposed algorithms in generating correct state estimates and efficiently updating them.
Article
Automation & Control Systems
Jing-Wen Xing, Chen Peng, Zhiru Cao
Summary: This paper proposes an event-triggered adaptive fuzzy tracking control method for high-order stochastic nonlinear systems. The fuzzy logic systems (FLSs) approximation approach is extended to handle the unknown nonlinear uncertainties. A novel high-order adaptive fuzzy tracking controller is presented using a backstepping approach and event-triggering mechanism, which reduces unnecessary waste of computation and communication resources. The effectiveness of the proposed control method is demonstrated through a numerical example.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
An-Yang Lu, Guang-Hong Yang
Summary: This article investigates the distributed secure state estimation problem in distributed systems, proposes a DSGD algorithm, and illustrates its effectiveness through a numerical example.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Chang Liu, Yuru Guo, Hongxia Rao, Ming Lin, Yong Xu
Summary: This work addresses finite-time synchronization for periodic T-S fuzzy master-slave neural networks with distributed delays. A fuzzy controller is designed for the slave NNs to synchronize the master NNs in finite time, and sufficient conditions are established to guarantee that the synchronization error system is bounded within a finite time.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Computer Science, Information Systems
Zhi Feng, Guoqiang Hu
Summary: This article addresses a resilient exponential distributed convex optimization problem for a heterogeneous linear multiagent system under Denial-of-Service (DoS) attacks over random digraphs. The article proposes several resilient algorithms to achieve global exponential convergence while minimizing a sum of local nonquadratic cost functions in a safe and reliable manner.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Automation & Control Systems
Chao Ma, Hang Fu, Wei Wu
Summary: This paper focuses on the finite-time filter design of semi-Markov jump system using Takagi-Sugeno (T-S) fuzzy rules. The study considers asynchronous mode-dependent delays to capture practical random features. The results establish sufficient criteria for maintaining finite-time passivity performance and utilize matrix techniques for filter gain design. The applicability and effectiveness of the proposed approach are confirmed through an illustrative example.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Automation & Control Systems
Yan Zong, Shuxin Liu, Xiaoxu Liu, Shang Gao, Xuewu Dai, Zhiwei Gao
Summary: This article presents a method for synchronizing data sampling clocks of BSN nodes in biometric authentication using a dynamic controller. By reducing sampling jitters between different nodes, the method improves gesture classification performance.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Civil
Bing Gao, Bing Bu, Xiaoxuan Wang
Summary: Intelligent transportation systems and automatic train control technologies have been rapidly developed. This study proposes a comprehensive resilient control strategy for the communication-based train control (CBTC) system to counter information security attacks.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Energy & Fuels
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
Ajay Pratap Yadav, Tuncay Altun, Ramtin Madani, Ali Davoudi
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2020)
Article
Automation & Control Systems
Shan Zuo, Frank L. Lewis, Ali Davoudi
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2020)
Article
Energy & Fuels
Ajay Pratap Yadav, Siyuan Xu, Benjamin Carrion Schafer, Ali Davoudi
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2020)
Article
Energy & Fuels
Paolo Roberto Massenio, David Naso, Frank L. Lewis, Ali Davoudi
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2020)
Article
Engineering, Electrical & Electronic
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
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
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
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
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
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.
Proceedings Paper
Omar Ali Beg, Ajay P. Yadav, Taylor T. Johnson, Ali Davoudi
2020 RESILIENCE WEEK (RWS)
(2020)
Proceedings Paper
Automation & Control 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
Tuncay Altun, Ramtin Madani, Ajay Pratap Yadav, Adnan Nasir, Ali Davoudi
IEEE TRANSACTIONS ON POWER SYSTEMS
(2020)