As everyone knows, that make up the human nervous system the most basic is neurons, also known as neural cells. With the development of research on the neural network system and developing, its function is more and more powerful, capable of handling more and more problems. In the human nervous system, its all properties also
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As everyone knows, that make up the human nervous system the most basic is neurons, also known as neural cells. With the development of research on the neural network system and developing, its function is more and more powerful, capable of handling more and more problems. In the human nervous system, its all properties also
(Read More…)
As everyone knows, that make up the human nervous system the most basic is neurons, also known as neural cells. With the development of research on the neural network system and developing, its function is more and more powerful, capable of handling more and more problems. In the human nervous system, its all properties also
(Read More…)
It is important to research the dynamic behaviors of population dynamics with im-pulsions not only in theory but also in practise. Lots of articles on disperse of population are published in recent years. But there are few of good conclusions for population of impulsive diffuse. In the second part of this article, we will discuss
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Combining with parameter uncertainties and uncertainty of external disturbance, robust control theory researches the system of robust performance analysis and comprehensive problem. It makes up for the lack of modern control theory need to mathematical models, and makes the system analysis and synthesis method more effective and practical. In recent years, H-infinity filtering attracts more
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Time-delays are frequently encountered in the behavior of many physical processes and very often are the main cause for poor performance and instability of control systems. In view of this, the control issue of time-delay systems is a topic of great practical importance which has attracted a great deal of interest for recent years, but
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This paper investigates the robust stability of grey stochastic time-delay systems by applying the methods of Lyapunov function, Lyapunov-Krasovskii functional and transformation model and employing the tools of Ito ? formula, matrix inequalities, Ho lder inequality and Schur complement and using the decomposition technique of the continuous matrix-covered sets of grey matrix, Especially, the problems
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Time delays are often encountered in various practical systems. It has been shown that the existence of delays in a dynamic system may result in instability, oscillations or poor performances. Therefore, the stability analysis and the synthesis of controllers for time-delay systems have received considerable attentions over the decades.Based on the basic concepts and methods
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