We consider the leader-following control problem on connected directed graphs for stochastic linear agents in the presence of communications and actuator delays. We propose to use a distributed protocol for detecting the distance of agents from the leader and we show that by suitably using this...
01a Articolo in rivista
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In this work we adopt a novel formulation of the distributed parameters recursive filter for discrete-time systems evolving in L-2 spaces to widen the class of systems that can be processed by a state estimation algorithm. Starting from a rigorous definition of Kronecker algebra on L-2 spaces that...
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In this article, we provide an analysis of noise propagation in a stochastic minimal model of chemical self-replication, where a given species can duplicate itself normally. A feedback from the end product on the source, acting as an inhibitor transcription factor, is considered. Stochasticity...
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We present a real-time algorithm for humanoid 3D walking and/or running based on a Model Predictive Control (MPC) approach. The objective is to generate a stable gait that replicates as closely as possible a footstep plan, i.e., a sequence of candidate footstep positions and orientations with...
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Background Aim of our study was to assess the load of bone disease at starting and during Ra-223 treatment as an overall survival (OS) predictor in metastatic castration-resistant prostate cancer (mCRPC) patients. Bone scan index (BSI) is defined as the percentage of total amount of bone metastasis...
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The paper investigates the link between organized crime and municipal solid waste management costs. Using a panel dataset of 7069 Italian municipalities in the 2015-19 period, we find that organized crime operating in the environmental sector is associated with an increase in waste management costs...
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: Comprehensive understanding of the human protein-protein interaction (PPI) network, aka the human interactome, can provide important insights into the molecular mechanisms of complex biological processes and diseases. Despite the remarkable experimental efforts undertaken to date to determine the...
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The Pandora's Box problem, originally posed by Weitzman in 1979, models selection from a set of random-valued alternatives-the "boxes"-when evaluation is costly. Weitzman showed that the Pandora's Box problem admits a simple threshold-based solution that considers the options in decreasing order of...
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Constrained submodular maximization problems encompass a wide variety of applications, including personalized recommendation, team formation, and revenue maximization via viral marketing. The massive instances occurring in modern-day applications can render existing algorithms prohibitively slow....
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We present a kernel-level infrastructure that allows system-wide detection of malicious applications attempting to exploit cache-based side-channel attacks to break the process confinement enforced by standard operating systems. This infrastructure relies on hardware performance counters to collect...