[PDF] Top 20 Robust stability analysis of impulsive complex valued neural networks with mixed time delays and parameter uncertainties

... the stability of real-valued neural networks (RVNNs) have been extensively investigated because of their widespread applications in various areas such as associative memory, pattern ... See full document

... these uncertainties or random disturbances ex- ist, the questions how and in what range to control the quality of the system or maintain its characteristics are of great ...with neural networks ... See full document

... of time-delayed BAM neural networks for ensuring the stability performance when the leakage delay ...the stability behavior in the sense of asymptotic for BAM neural ... See full document

... 3 Stability analysis is the basis of the design of state estimator, and many effective methods have been ...weighting delays, and less conservative criteria are ...the time-varying ... See full document

... Dynamical neural networks have recently received a great deal of attention due to their po- tential applications in image and signal processing, combinatorial optimization problems, pattern recognition, ... See full document

... the neural cells in practice, the existing neural network models cannot characterize the properties of a neural reaction process precisely ...complicated neural networks, a new type of ... See full document

... exponential stability for a RNNs with impulse, discrete and continuously distributed time-varying delays and stochastic ...exponential stability of the ...of neural networks, ... See full document

... implementing neural networks, time delays are unavoidably encoun- tered due to delay transmission line, partial element equivalent circuit, integration and ...of time delays in ... See full document

... of neural networks, since the importance of the memory term is extremely high, the incorporation of fractional terms into neural networks leads to a new class of networks called ... See full document

... global robust exponential stability analysis of a class of delayed neural networks with time- varying delays and parameter ...exponential stability criteria, ... See full document

... the stability may be destroyed and this may bring about many faults and ...general stability cannot describe the complete inner characters of the systems, so it is quite necessary to refer to robust ... See full document

... some parameter variations in the structures of neural net- ...one time-varying delay component, the finite-time boundedness of delayed Markovian jumping neural networks is studied ... See full document

... Example 1. Since Theorem 3 given in [31] requires that S be a positive definite matrix, we will first give an example where the results of Theorem 1 hold when S is not positive definite matrix. Assume that the network ... See full document

... of mixed H ∞ and passivity analysis for neural networks with mixed time-varying delays which consist of discrete and distributed time-varying delays via ... See full document

... memory neural network model with time-varying de- lays and reaction-di ff usion terms is ...exponential stability of equilibrium point for the ad- dressed neural network are derived by M ... See full document

... the stability analysis problem of bidirectional associative memory neural networks with time-varying delays and leakage ...sufficient stability criterion is derived for ... See full document

... of delays. Both in biological and man-made neural systems, integration and communication delays are ubiquitous, and often become sources of instabil- ...The delays in electronic neural ... See full document

... Remark 4.3. As we see from Figures 1a and 1d, the equilibrium point 0, 0 T of system 4.1 without impulses is unstable. However, it becomes exponentially stable by explicit impulsive control see Figures 1b and 1e. ... See full document

... for complex dynamical networks with discrete intervals and distributed time-varying ...of complex dynamical networks is asymptotically ...Lyapunov stability and linear matrix ... See full document

... of complex- valued artificial neural networks (CVANN) for the complex- valued pattern recognition and ...combined complex-valued artificial neural network ... See full document