Identification of Continuous-time Nonlinear Systems by Using a Gaussian Process Model

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概要

• 論文の詳細を見る
• 2008-11-01

著者

• Takata Hitoshi

  Department Of Electrical And Electronics Engineering Kagoshima University

• Hachino Tomohiro

  Department Of Electrical And Electronics Engineering Kagoshima University

• Takata Hitoshi

  Department Of Computer Science Kyushu Institute Of Technology

関連論文

• Structure Selection and Identification of Hammerstein Type Nonlinear Systems Using Automatic Choosing Function Model and Genetic Algorithm(Nonlinear Theory and its Applications)
• On the Isomorphism of Formal Linearization for Nonlinear Systems
• Multiple Gaussian Process Models for Direct Time Series Forecasting
• On-line Identification Method of Continuous-Time Nonlinear Systems Using Radial Basis Function Network Model Adjusted by Genetic Algorithm(Nonlinear Theory and its Applications)
• Identification of Continuous-time Nonlinear Systems by Using a Gaussian Process Model
• An Augmented Automatic Choosing Control of Observer Type for Nonlinear Systems with Linear Measurement and Its Application to Power Systems

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