Consensus Recovery from Intentional Attacks in Directed Nonlinear Multi-agent Systems
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Yilun Shang
Abstract
Resilience or recovery of multi-agent systems against attacks is believed to be one of the most important topics in control and management of complex systems. Previous studies have mainly focused on the random failure and intentional attack targeted on node degrees, whereas consensus recovery is much less investigated. In this paper, two kinds of targeted attacks are introduced and corresponding recovery strategies are proposed to address the consensus recovery of continuous-time nonlinear multi-agent systems under directed topologies against subsequent attacks. The cut-nodes and cut-edges are chosen as the targets of attack, and the multi-agent system becomes disconnected when they are deleted from the system. The neighbor nodes of the cut-node and end nodes of the cut-edge are used to recover the connectivity of the network. It is shown that our proposed strategies can significantly improve the convergence speed of reaching consensus of the resulting multi-agent systems. A cost function is also proposed to compare different recovery strategies.
©[2013] by Walter de Gruyter Berlin Boston
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- Masthead
- Mathematical Models for Erosion and the Optimal Transportation of Sediment
- Comments on “He's Homotopy Perturbation Method for Calculating Adomian Polynomials”
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- Solving Nonlinear Problems with Singular Initial Conditions Using A Perturbed Scalar Homotopy Method
- Tri-integrable Couplings by Matrix Loop Algebras
- Extended Reductive Perturbation Method and Its Relation to the Re-normalization Method
- Neural Network Approaches to Data Fusion Calculation and Correction in Wireless Sensor Network – A Case Study Comparison between BPN, RBFN and GRNN
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- An Exact, Fully Nonlinear Solution of the Poisson-Boltzmann Equation with Anti-symmetric Electric Potential Profiles
- Study on Nonlinear Oscillations of Gear Systems with Parametric Excitation Solved by Homotopy Analysis Method
