A5103002353- Neural Networks Stability and Synchronization
- Advanced Memory and Neural Computing
- Nonlinear Dynamics and Pattern Formation
- stochastic dynamics and bifurcation
- Stability and Control of Uncertain Systems
- Chaos control and synchronization
- Neural Networks and Applications
- Distributed Control Multi-Agent Systems
- Matrix Theory and Algorithms
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Advanced Mathematical Theories and Applications
- Smart Grid Security and Resilience
- Mathematical and Theoretical Epidemiology and Ecology Models
- Numerical methods for differential equations
- FinTech, Crowdfunding, Digital Finance
- Financial Distress and Bankruptcy Prediction
- Mathematical Inequalities and Applications
- Elasticity and Wave Propagation
- Blockchain Technology Applications and Security
- Control and Stability of Dynamical Systems
- Mathematics and Applications
Chongqing Jiaotong University
2006-2024
Sichuan University
2009
Huzhou University
2006
The passivity for discrete-time stochastic T-S fuzzy systems with time-varying delays is investigated. By constructing appropriate Lyapunov-Krasovskii functionals and employing analysis method matrix inequality technique, a delay-dependent criterion to ensure the considered established in terms of linear inequalities (LMIs) that can be easily checked by using standard numerical software. An example given show effectiveness obtained result.
The state estimation problem is investigated for neural networks with leakage delay and time-varying as well general activation functions. By constructing appropriate Lyapunov-Krasovskii functionals employing matrix inequality techniques, a delay-dependent linear inequalities (LMIs) condition developed to estimate the neuron some observed output measurements such that error-state system globally asymptotically stable. An example given show effectiveness of proposed criterion.
This paper investigates the synchronization problem for neural networks with leakage delay and both discrete distributed time-varying delays under sampled-data control. By employing Lyapunov functional method using matrix inequality techniques, a delay-dependent LMIs criterion is given to ensure that master systems slave are synchronous. An example simulations show effectiveness of proposed criterion.
This paper investigates banks' credit strategies concerning micro, small and medium enterprises (MSMEs) by taking into consideration the intrinsic characteristics of individual external correlations among them when assessing risk. We analysed transaction data between utilised Bean Search algorithm Markov random field to construct enterprise network topology diagrams, quantifying inter-enterprise correlations. also applied combined weight method balance their creditworthiness strength indices...
The passivity and passification for Takagi-Sugeno (T-S) fuzzy systems with leakage delay both discrete distributed time-varying delays are investigated. By employing the Lyapunov functional method using matrix inequality techniques, several delay-dependent criteria to ensure of considered T-S established in terms linear inequalities (LMIs) that can be easily checked by standard numerical software. obtained results generalize some previous results. Two examples given show effectiveness...
Coupled network systems (CNSs) consist of many small, inexpensive agents, in which each agent is capable collecting signals, processing information, and communicatingwith neighboring agents. Due to their wide applications fields including mobile sensor networks Unmanned Aerial Vehicles, CNSs have attracted researchers from different areas sciences technologies, ranging mathematics physics computer science. Node collaboration the key for success due fact that node itself limited by...