A decentralized unscented Kalman filter (UKF) method based on a consensus algorithm for multi-area power system dynamic state estimation is presented in this paper. The overall system is split into a certain number of non-overlapping areas. Firstly, each area executes its own dynamic state estimation based on local measurements by using the UKF. Next, the consensus algorithm is required to perf...

This paper presents a new algorithm that reduces multivalued consensus to binary consensus in an asynchronous message-passing system made up of n processes where up to t may commit Byzantine failures. This algorithm has the following noteworthy properties: it assumes t < n/3 (and is consequently optimal from a resilience point of view), uses O(n) messages, has a constant time complexity, and do...

Flocking strategies are sets of behavior rules for the interaction of agents that allow to devise controllers with reduced complexity that generate emerging behavior. In this paper, we present an application of genetic algorithms and flocking strategies to control the Ghost Team in the game Ms. Pac-Man. In particular, we define flocking strategies for the Ghost Team and optimize them for robust...

The major histocompatibility complex (MHC) molecules, which bind peptides for presentation on the cell surface, play an important role in cell-mediated immunity. In light of developing databases and technologies over years, significant progress has been made research peptide binding affinity calculation. Several techniques have developed to predict MHC class I. Most Class I due its nature bring...

This article investigates a distributed adaptive dual control that employs both consensus algorithm and improved equal incremental principle (IEIP), to guarantee the security operation while reducing energy consumption of Internet (EI). Since is critical factor EI with hub (EH), it necessary for adjust outputs EHs system parameters, which have great influence on performance. The consensus-based...

We give a rigorous proof of convergence of a recently proposed consensus algorithm with output constraint. Examples are presented to illustrate the efficacy and utility of the algorithm.

A fault diagnosis procedure is proposed based on consensus in a group of local agents/experts. Local models are represented by Markov chains and modelling consensus as a mixture of these allows estimation of optimal ratings using an EM framework. To deal with the unobservable case the procedure is extended to accommodate Hidden Markov models (HMMs). Index Terms Fault diagnosis, consensus algori...

We present a consensus algorithm that combines unreliable failure detection and randomization, two well-known techniques for solving consensus in asynchronous systems with crash failures. This hybrid algorithm combines advantages from both approaches: it guarantees deterministic termination if the failure detector is accurate, and probabilistic termination otherwise. In executions with no failu...

In this paper, a novel approach to the formation control of multiple rectangular agents with limited communication ranges is presented. By utilizing an artificial potential function, the proposed control algorithm can guarantee fast formation performance and no collision among agents. Hence, the rectangular agents can collaborate to form a pre-defined shape of formation without collisions. A si...