A5082743922- Neural Networks Stability and Synchronization
- Distributed Control Multi-Agent Systems
- Stability and Control of Uncertain Systems
- Advanced Memory and Neural Computing
- Security in Wireless Sensor Networks
- Real-Time Systems Scheduling
- Machine Learning and ELM
- Advanced Queuing Theory Analysis
- Smart Grid Security and Resilience
- Energy Efficient Wireless Sensor Networks
- Stability and Controllability of Differential Equations
- Simulation Techniques and Applications
- Distributed Sensor Networks and Detection Algorithms
Northeastern University
2024-2025
Shandong Academy of Sciences
2020-2022
Qilu University of Technology
2020-2022
In this article, the deception attacks are research object, which widely concerned in cyber attacks, and feasibility of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$H_\infty $ </tex-math></inline-formula> filtering for networked system based on event-triggered mechanism (ETM) is discussed. Firstly, order to avoid waste limited bandwidth, ETM introduced. At same time, considering impact two types...
We investigate the dynamic event-triggered state estimation for uncertain complex networks with hybrid delays suffering from both deception attacks and denial-of-service attacks. Firstly, effects of time-varying finite-distributed are considered during data transmission between nodes. Secondly, a scheme (ETS) is introduced to reduce frequency sensors estimators. Thirdly, by considering discussed plant, ETS, estimator, into unified framework, this framework transferred novel dynamical model....
<abstract><p>This paper investigates the event-triggered state estimation problem for a class of complex networks (CNs) suffered by hybrid cyber-attacks. It is assumed that wireless network exists between sensors and remote estimators, data packets may be modified or blocked malicious attackers. Adaptive scheme (AETS) introduced to alleviate congestion problem. With help two sets Bernoulli distribution variables (BDVs) an arbitrary function related system state, mathematical...
This paper investigates the problem of adaptive event-triggered control for networked nonlinear systems with actuator saturation using dynamic output feedback controller (DOFC). In view mechanism (AETM), a model (NCSs) and random nonlinearities is first established. Then, by constructing Lyapunov–Krasovskii functional (LKF), sufficient condition asymptotically stable an <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math...
This paper discusses the adaptive event‐triggered synchronization problem of a class neural networks (NNs) with time‐varying delay and actuator saturation. First, in view limited communication channel capacity network system unnecessary data transmission NCSs, an scheme (AETS) is introduced to reduce load improve utilization. Second, under AETS, error model delayed master‐slave constructed Third, based on Lyapunov–Krasovskii functional (LKF), new sufficient criterion guarantee asymptotic...