Abstract: In this paper, from the structural perspective, we propose a new stability analysis approach for the consensus of linear multi-agent systems. Different from the general tools: the Laplacian matrix based method and the Lyapunov’s method, this approach treats the multi-agent system as the composition of many isolated agents, and focuses on their special input and output relationship. Th...

In this article we introduce combinatorial multi-color discrepancies and generalize several classical results from 2–color discrepancy theory to c colors (c ≥ 2). We give a recursive method that constructs c–colorings from approximations of 2–color discrepancies. This method works for a large class of theorems like the ‘six standard deviations’ theorem of Spencer, the Beck–Fiala theorem, the re...

In order to study non cooperative IFF to technology, this paper detailed illustrates the D-S theory in a multi-sensor data fusion principle and target recognition method, calculation method and practical model is established. By applying the theory of evidence (D-S method), we can solve the problem of data fusion in multi-sensor conditions. Aiming at the problem of multi-sensor target recogniti...

This paper introduces a Hybrid Multilayered Perceptron (HMLP) based classifier known as the Multi-Classify HMLP network (MCHMLP). This network is shown to be able to enhance the performance accuracy when compared to the conventional HMLP network. The Multi-Classify HMLP network architecture is trained using a Modified Recursive Prediction Error (MRPE). This study uses three benchmark datasets i...

A global multi-grid/GMRES solution methodology on distributed memory machines is successfully developed in this study. To preserve the effectiveness of the multigrid scheme, the grid partitioning is based on the communication graph of the coarsest grid, so that all levels of the multi-grids are located in the same zone (processor). Each node of the graph is weighted with the total number of the...