activity
20192022
most citedA Separation-Based Methodology to Consensus Tracking of Switched High-Order Nonlinear Multi-Agent Systems

127 citations · 207 across the 11 of their papers we have counts for

collaborators

12 papers

math.OC2022

DISA: A Dual Inexact Splitting Algorithm for Distributed Convex Composite Optimization

Luyao Guo, Xinli Shi, Shaofu Yang +1

In this paper, we propose a novel Dual Inexact Splitting Algorithm (DISA) for distributed convex composite optimization problems, where the local loss function consists of a smooth…

math.NA2022★ 2 cited

Variational inequalities of multilayer elastic systems with interlayer friction: existence and uniqueness of solution and convergence of numerical solution

Zhizhuo Zhang, Xiaobing Nie, Jinde Cao

Based on the mathematical-physical model of pavement mechanics, a multilayer elastic system with interlayer friction conditions is constructed. Given the complex boundary condition…

eess.SY2022

Distributed Pinning Set Stabilization of Large-Scale Boolean Networks

Shiyong Zhu, Jianquan Lu, Liangjie Sun +1

In this article, we design the distributed pinning controllers to globally stabilize a Boolean network (BN), specially a sparsely connected large-scale one, towards a preassigned s…

eess.SY2021★ 4 cited

Polynomial-Time Algorithms for Structurally Observable Graphs by Controlling Minimal Vertices

Shiyong Zhu, Jianquan Lu, Daniel W. C. Ho +1

The aim of this paper is to characterize an important class of marked digraphs, called structurally observable graphs (SOGs), and to solve two minimum realization problems. To begi…

cs.LG2021

A SOM-based Gradient-Free Deep Learning Method with Convergence Analysis

Shaosheng Xu, Jinde Cao, Yichao Cao +1

As gradient descent method in deep learning causes a series of questions, this paper proposes a novel gradient-free deep learning structure. By adding a new module into traditional…

math.DS2020

Stability Analysis of Quaternion-valued Neural Networks with Leakage Delay and Additive Time-varying Delays

Qun Huang, Jinde Cao

In this paper, the stability analysis of quaternion-valued neural networks (QVNNs) with both leakage delay and additive time-varying delays is proposed. By employing the Lyapunov-K…

cs.CV2020

A new approach to descriptors generation for image retrieval by analyzing activations of deep neural network layers

Paweł Staszewski, Maciej Jaworski, Jinde Cao +1

In this paper, we consider the problem of descriptors construction for the task of content-based image retrieval using deep neural networks. The idea of neural codes, based on full…

cs.MA2020★ 127 cited

A Separation-Based Methodology to Consensus Tracking of Switched High-Order Nonlinear Multi-Agent Systems

Maolong Lv, Wenwu Yu, Jinde Cao +1

This work investigates a reduced-complexity adaptive methodology to consensus tracking for a team of uncertain high-order nonlinear systems with switched (possibly asynchronous) dy…

eess.SY2020★ 27 cited

A Directed Spanning Tree Adaptive Control Framework for Time-Varying Formations

Dongdong Yue, Simone Baldi, Jinde Cao +2

In this paper, the time-varying formation and time-varying formation tracking problems are solved for linear multi-agent systems over digraphs without the knowledge of the eigenval…

eess.SY2019

Pinning Stabilizer Design for Large-Scale Probabilistic Boolean Networks

Lin Lin, Jinde Cao, Jianquan Lu +1

This paper investigates the stabilization of probabilistic Boolean networks (PBNs) via a novel pinning control strategy based on network structure. In a PBN, the evolution equation…

eess.SY2019★ 47 cited

Sensors Design for Large-Scale Boolean Networks via Pinning Observability

Shiyong Zhu, Jianquan Lu, Jie Zhong +2

In this paper, a set of sensors is constructed via the pinning observability approach with the help of observability criteria given in [1] and [2], in order to make the given Boole…

math.CO2019

Computing the Laplacian spectrum of linear octagonal-quadrilateral networks and its applications

Jia-Bao Liu, Zhi-Yu Shi, Ying-Hao Pan +3

Let Ln denote linear octagonal-quadrilateral networks. In this paper, we aim to firstly investigate the Laplacian spectrum on the basis of Laplacian polynomial of Ln. Then, by appl…