Suboptimal Control and Filtering for Nonlinear Systems

碩士 === 國立中央大學 === 機械工程學系 === 84 === This paper presents results on the regulation, tracking and estimation problem of a class of nonlinear systems. The controller design extends the linear quadratic regulator to the ca...

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Main Authors: Chen, Jau-Rong, 陳昭蓉
Other Authors: Huang F-Y
Format: Others
Language:zh-TW
Published: 1996
Online Access:http://ndltd.ncl.edu.tw/handle/66651928923386532584
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spelling ndltd-TW-084NCU004890252015-10-13T14:34:57Z http://ndltd.ncl.edu.tw/handle/66651928923386532584 Suboptimal Control and Filtering for Nonlinear Systems 非線性系統之次佳化控制與估測 Chen, Jau-Rong 陳昭蓉 碩士 國立中央大學 機械工程學系 84 This paper presents results on the regulation, tracking and estimation problem of a class of nonlinear systems. The controller design extends the linear quadratic regulator to the case in which the underlying system is nonlinear. The estimator design extends the Kalman filter to the case in which the underlying system is also nonlinear. In the context of control, it proves that (1) the closed-loopsystem is quadratically stable in the sense that all the signals involved are bounded and (2) the system state converges to zero asymptotically if the controlinput is squared integrable along the state trajectory. In the context of estimation,an upper bound covariance matrix equation for the estimation error is derived to account for the nonlinearity of the underlying system. Finally, the proposed schemes are applied to several nonlinear systems to confirm the validity of the approach. Huang F-Y 羅吉昌, Ji-Chang Lo 1996 學位論文 ; thesis 60 zh-TW
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language zh-TW
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description 碩士 === 國立中央大學 === 機械工程學系 === 84 === This paper presents results on the regulation, tracking and estimation problem of a class of nonlinear systems. The controller design extends the linear quadratic regulator to the case in which the underlying system is nonlinear. The estimator design extends the Kalman filter to the case in which the underlying system is also nonlinear. In the context of control, it proves that (1) the closed-loopsystem is quadratically stable in the sense that all the signals involved are bounded and (2) the system state converges to zero asymptotically if the controlinput is squared integrable along the state trajectory. In the context of estimation,an upper bound covariance matrix equation for the estimation error is derived to account for the nonlinearity of the underlying system. Finally, the proposed schemes are applied to several nonlinear systems to confirm the validity of the approach.
author2 Huang F-Y
author_facet Huang F-Y
Chen, Jau-Rong
陳昭蓉
author Chen, Jau-Rong
陳昭蓉
spellingShingle Chen, Jau-Rong
陳昭蓉
Suboptimal Control and Filtering for Nonlinear Systems
author_sort Chen, Jau-Rong
title Suboptimal Control and Filtering for Nonlinear Systems
title_short Suboptimal Control and Filtering for Nonlinear Systems
title_full Suboptimal Control and Filtering for Nonlinear Systems
title_fullStr Suboptimal Control and Filtering for Nonlinear Systems
title_full_unstemmed Suboptimal Control and Filtering for Nonlinear Systems
title_sort suboptimal control and filtering for nonlinear systems
publishDate 1996
url http://ndltd.ncl.edu.tw/handle/66651928923386532584
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