Stability analysis for circulant structured multi-agent molecular communication systems
In this paper, we introduce the system theoretic model for the multi-agent MC systems represented by multi-input and multi-output (MIMO) systems using the transfer functions, and then propose a method to analyze the stability for the special case of the circulant structured multi-agent MC systems. The proposed method decomposes the MIMO MC system into multiple single-input and single-output (SISO) systems, which facilitates to analyze of the stability of the large-scale multi-agent MC system. Finally, we demonstrate the proposed method to analyze the stability of a specific MC system.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Understanding and Training Deep Diagonal Circulant Neural Networks
In this paper, we study deep diagonal circulant neural networks, that is deep neural networks in which weight matrices are the product of diagonal and circulant ones. Besides making a theoretical analysis of their expres…
Video ClassificationCircConv: A Structured Convolution with Low Complexity
Deep neural networks (DNNs), especially deep convolutional neural networks (CNNs), have emerged as the powerful technique in various machine learning applications. However, the large model sizes of DNNs yield high demand…
On Binary Embedding using Circulant Matrices
Binary embeddings provide efficient and powerful ways to perform operations on large scale data. However binary embedding typically requires long codes in order to preserve the discriminative power of the input space. Th…
Circulant ADMM-Net for Fast High-resolution DoA Estimation
This paper introduces CADMM-Net and CHADMM-Net, two deep neural networks for direction of arrival estimation within the least-absolute shrinkage and selection operator (LASSO) framework. These two networks are based on a…
Direction of Arrival EstimationVision Transformers are Circulant Attention Learners
The self-attention mechanism has been a key factor in the advancement of vision Transformers. However, its quadratic complexity imposes a heavy computational burden in high-resolution scenarios, restricting the practical…