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This work presents the passive synchronization control problem for time-varying delayed chaotic neural networks. With the help of a novel integral inequality, a time-dependent Lyapunov functional is applied to optimize the factual sampling pattern. A reciprocally convex approach is also applied to present delay dependent results. Finally, we present an demonstrated example to show the usability of...
The notion of logical processes is a widely used modeling paradigm in parallel and distributed discrete-event simulation. Yet, the comparison among different simulation algorithms for LP models still remains difficult. Most simulation systems only provide a small subset of available algorithms, which are usually selected and tuned towards specific applications. Furthermore, many modeling and simulation...
With the increasing demands for large-scale and fine-resolution models, simulations of the reaction-diffusion systems are becoming more and more time consuming. Combined with the Stochastic Simulation Method (SSA), the Parallel Discrete-Event Simulation (PDES) is a promising approach to utilize the parallelism in these models. Since synchronization algorithms play the key role in PDES, in this paper,...
Wireless sensor networks have been used for many delay-sensitive applications, e.g., emergency response and plant automation. In such networks, delay measurement is important for a number of reasons, e.g., real-time control of the networked system, and abnormal delay detection. In this paper, we propose a measurement architecture using distributed air sniffers, which provides convenient delay measurement,...
Since the agent has characteristics of distributed, autonomous and cooperative, we present an intelligent security system based on multi-agent technology. This paper firstly describes the architecture of the system, then introduces the different tasks and duties of different type of agents, and finally explains the system workflow. Some enterprises which use this system demonstrates the application...
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