Search results for: OnlineIdentification

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OnlineIdentification</title> <meta name="description" content="Search results for: OnlineIdentification"> <meta name="keywords" content="OnlineIdentification"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block 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publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> On-line Identification of Continuous-time Hammerstein Systems via RBF Networks and Immune Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Tomohiro%20Hachino">Tomohiro Hachino</a>, <a href="https://publications.waset.org/search?q=Kengo%20Nagatomo"> Kengo Nagatomo</a>, <a href="https://publications.waset.org/search?q=Hitoshi%20Takata"> Hitoshi Takata</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper deals with an on-line identification method of continuous-time Hammerstein systems by using the radial basis function (RBF) networks and immune algorithm (IA). An unknown nonlinear static part to be estimated is approximately represented by the RBF network. The IA is efficiently combined with the recursive least-squares (RLS) method. The objective function for the identification is regarded as the antigen. The candidates of the RBF parameters such as the centers and widths are coded into binary bit strings as the antibodies and searched by the IA. On the other hand, the candidates of both the weighting parameters of the RBF network and the system parameters of the linear dynamic part are updated by the RLS method. Simulation results are shown to illustrate the proposed method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Continuous-time%20System" title="Continuous-time System">Continuous-time System</a>, <a href="https://publications.waset.org/search?q=Hammerstein%20System" title=" Hammerstein System"> Hammerstein System</a>, <a href="https://publications.waset.org/search?q=OnlineIdentification" title=" OnlineIdentification"> OnlineIdentification</a>, <a href="https://publications.waset.org/search?q=Immune%20Algorithm" title=" Immune Algorithm"> Immune Algorithm</a>, <a href="https://publications.waset.org/search?q=RBF%20network." title=" RBF network."> RBF network.</a> </p> <a href="https://publications.waset.org/3831/on-line-identification-of-continuous-time-hammerstein-systems-via-rbf-networks-and-immune-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/3831/apa" target="_blank" rel="nofollow" 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Search results for: OnlineIdentification