Gopinath Panda

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In this paper we introduce the Comprehensive Learning Particle Swarm Optimization (CLEPSO) technique for identification of nonlinear systems. System identification in noisy environment has been a matter of concern for researchers in control theory for nonlinear analysis and optimization. In the recent past the Least Mean Square Algorithm (LMS), Genetic(More)
Wireless sensor networks (WSN) have been proposed as a solution to environment sensing, target tracking, data collection and others. WSN collect an enormous amount of data over space and time. The objective is to estimate of a parameter or function from these data. Learning is used in detection and estimation problems when no probablistic model relating an(More)
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