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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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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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.
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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 |
work_keys_str_mv |
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1717753629298917376 |