A5100350198- Stability and Control of Uncertain Systems
- Distributed Control Multi-Agent Systems
- Neural Networks Stability and Synchronization
- Fault Detection and Control Systems
- Target Tracking and Data Fusion in Sensor Networks
- Distributed Sensor Networks and Detection Algorithms
- Neural Networks and Applications
- Nonlinear Dynamics and Pattern Formation
- Adaptive Control of Nonlinear Systems
- Metaheuristic Optimization Algorithms Research
- Control Systems and Identification
- Evolutionary Algorithms and Applications
- Advanced Control Systems Optimization
- Advanced Multi-Objective Optimization Algorithms
- Wireless Communication Security Techniques
- Stability and Controllability of Differential Equations
- Full-Duplex Wireless Communications
- Cooperative Communication and Network Coding
- Guidance and Control Systems
- Advanced Frequency and Time Standards
- Inertial Sensor and Navigation
- Atomic and Subatomic Physics Research
- Electric and Hybrid Vehicle Technologies
- Advanced Adaptive Filtering Techniques
- Anomaly Detection Techniques and Applications
Hangzhou Normal University
2019-2025
Energy Research Institute
2025
Northeast Petroleum University
2025
University of Electronic Science and Technology of China
2024
Xi'an University of Technology
2023
Donghua University
2014-2019
This paper is concerned with the synchronization control problem for a class of discrete time-delay complex dynamical networks under dynamic event-triggered mechanism. For efficiency energy utilization, we make first attempt to introduce event-triggering strategy into design controllers networks. A new discrete-time version mechanism proposed in terms absolute errors between input updates. By constructing an appropriate Lyapunov functional, dynamics each network node combined introduced are...
This article tackles the recursive filtering problem for a class of stochastic nonlinear time-varying complex networks (CNs) suffering from both state saturations and deception attacks. The inner coupling are taken into account to characterize nature CNs. From defender's perspective, randomly occurring attack is governed by set Bernoulli binary distributed white sequence with given probability. objective addressed design state-saturated filter such that, in simultaneous presence attacks,...
This article deals with the recursive filtering issue for a class of nonlinear complex networks (CNs) switching topologies, random sensor failures and dynamic event-triggered mechanisms. A Markov chain is utilized to characterize behavior network topology. The phenomenon occurs in way governed by set stochastic variables obeying certain probability distributions. In order save communication cost, transmission protocol introduced into channel from sensors filters. objective addressed problem...
In this paper, the recursive filtering problem is considered for stochastic systems over filter-and-forward successive relay (FFSR) networks. An FFSR located between sensor and remote filter to forward measurement. relay, two cooperative nodes are adopted signals alternatively, thereby existing switching characteristics inter-relay interferences (IRI). Since scheme employed, signal received by retransmitted after it passes through a linear filter, The objective of paper concurrently design...
This paper is concerned with the event-triggered synchronization control problem for a class of complex networks uncertain inner couplings. The coupling under consideration characterized in terms interval matrix. In order to save communication and computation resources, event-based mechanism adopted scheme proposed networks. First, we transform into exponential stabilization new dynamical systems multiple delays. Then, by employing Lyapunov stability theory, derive sufficient condition which...
This paper is concerned with the zonotopic state estimation problem for a class of linear repetitive processes (LRPs) weighted try-once-discard protocols (WTODPs) subject to uniform quantization. In such system, process disturbance and measurement noise are generally assumed be unknown but bounded in certain zonotopes. The data uniformly quantized prior entering network. order effectively curb collision, WTODP considered, based on which only selected sensor allowed transmit through aim this...
Summary This paper addresses the finite‐horizon H ∞ filtering problem for a kind of discrete state‐saturated time‐varying complex networks subjected to weighted try‐once‐discard (WTOD) protocol. Under WTOD protocol, only measurement signal from one sensor node is allowed be transmitted filter at each time point, where such selected based on certain quadratic selection principle. The main purpose this design an that guarantees disturbance attenuation level given finite time‐horizon underlying...
This article addresses the simultaneous state and unknown input estimation problem for a class of discrete time-varying complex networks (CNs) under redundant channels dynamic event-triggered mechanisms (ETMs). The channels, modeled by an array mutually independent Bernoulli distributed stochastic variables, are exploited to enhance transmission reliability. For energy-saving purposes, scheme is enforced ensure that every sensor node sends its measurement corresponding estimator only when...
This paper addresses the resilient distributed filtering problem for a class of time-varying multirate systems over sensor networks subject to time-correlated fading channels. The channel, whose coefficient is described by dynamical process, introduced better capture time-correlation property wireless Moreover, phenomenon stochastic gain fluctuations taken into account accommodate potential implementation errors, thereby achieving performance. lifting technique employed cast underlying...
This paper studies the expected-time tracking control problem for multiagent systems with disturbances and time delays. The scheme can ensure that objectives be completed within desired time. In other words, output signal track reference in an expected Based on a special error adaptive technology, consensus is achieved. Moreover, by using neural networks technique, unknown nonlinear functions which often exist dynamic of system are handled. According to Lyapunov stability theorem...