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A robust fault estimation (FE) method is proposed for Lipschitz nonlinear Markov jump system (MJS) based on unknown input observer (UIO). Firstly, the robust UIO is designed under the unknown input and output noise. Then the state estimation error system is established by combining the observer estimated states with real system states. When the error system is stable, the system states and the actuator...
Due to the open nature of peer-to-peer (P2P) networks, distributed systems usually employ reputation systems (RSs) to help peers identify trustworthy resource providers and steer away from the malicious peers who may release harmful files or resources in their benefits. In this paper, we propose a new reputation mechanism based on referral's credibility for P2P networks called RBRC. More specifically,...
In the case of response data missing, the variable bandwidth and one-step local M-estimates are employed to estimate the unknown function and the unknown parameter in the partial linear models. The estimators of nonparametric components are given by one-step local M-estimation, and the estimators of parametric components are obtained by one-step local M-estimation and average method. Moreover, the...
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