Results 21 to 30 of about 4,331 (178)
Synchronization Problems of Fuzzy Competitive Neural Networks
This paper is devoted to investigating the fixed‐time and finite‐time synchronization for fuzzy competitive neural networks with discontinuous activation functions. We introduce Filippov solution for overcoming the nonexistence of classical solutions of discontinuous system.
Lingping Zhang +3 more
wiley +1 more source
This paper investigates the mean‐square exponential input‐to‐state stability (MEISS) of stochastic mixed time‐delayed neural networks with hybrid impulses. A generalized comparison principle is introduced and a new inequality about the solution of an impulsive differential equation is established.
Chi Zhao +4 more
wiley +1 more source
Biomechanical Analysis of Martial Arts Movements Based on Improved PSO Optimized Neural Network
Monitoring the development trend of martial arts biomechanics, which provides ideas for the scientific research of martial arts. It also proposes discussions and suggestions based on research results in related fields. As a traditional sport in China, martial arts have been around for a long time, and there is still a lot of research space.
Shifang Yan +3 more
wiley +1 more source
Parameter Control of Stochastic Neural Network System with Markov Switching
The stochastic control of Markov switching systems with time‐delay feedback neural networks under the interference of external environment is studied in this paper. By designing a memoryless state feedback controller, a set of sufficient conditions for the stochastic stability of the switching system and the disturbance attenuation are obtained by ...
Bo Hong +2 more
wiley +1 more source
Based on the theory of calculus on time scales, the homeomorphism theory, Lyapunov functional method, and some analysis techniques, sufficient conditions are obtained for the existence, uniqueness, and global exponential stability of the equilibrium ...
Yongkun Li, Yuchun Hua, Yu Fei
doaj +2 more sources
In this article, a controller with delay impulse is applied to a neural network (NN) with time‐varying delays. Firstly, the lag synchronization of the system is discussed. In addition, a sufficient condition for guaranteed lag synchronization requiring all state information is derived by using linear matrix inequality (LMI).
Jiarui Ye, Jin-E Zhang, Guoguang Wen
wiley +1 more source
In this paper, stochastic fuzzy Cohen–Grossberg neural networks with discrete and distributed delays are investigated. By using Lyapunov function and the Ito differential formula, some sufficient conditions for the pth moment exponential stability of ...
Changjin Xu, Peiluan Li
doaj +1 more source
Delay-Dependent Dynamics of Switched Cohen-Grossberg Neural Networks with Mixed Delays
This paper aims at studying the problem of the dynamics of switched Cohen-Grossberg neural networks with mixed delays by using Lyapunov functional method, average dwell time (ADT) method, and linear matrix inequalities (LMIs) technique.
Peng Wang +4 more
doaj +1 more source
Cohen-Grossberg neural networks with delays provide a very powerful tool in the study of information processing, parallel computation, pattern recognition and solving of optimization problems.
Jinde Cao +4 more
doaj +1 more source
General criteria for asymptotic and exponential stabilities of neural network models with unbounded delays [PDF]
For a family of differential equations with infinite delay, we give sufficient conditions for the global asymptotic, and global exponential stability of an equilibrium point.
Faria, Teresa, Oliveira, José J.
core +1 more source

