Identification Of Linear Systems By An Asymptotically Stable Observer
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Identification Of Linear Systems By An Asymptotically Stable Observer
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Author :
language : en
Publisher:
Release Date : 1992
Identification Of Linear Systems By An Asymptotically Stable Observer written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Linear systems categories.
Identification Of Linear Systems By An Asymptotically Stable Observer
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Author : National Aeronautics and Space Administration (NASA)
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-07-08
Identification Of Linear Systems By An Asymptotically Stable Observer written by National Aeronautics and Space Administration (NASA) and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-08 with categories.
A formulation is presented for the identification of a linear multivariable system from single or multiple sets of input-output data. The system input-output relationship is expressed in terms of an observer, which is made asymptotically stable by an embedded eigenvalue assignment procedure. The prescribed eigenvalues for the observer may be real, complex, mixed real and complex, or zero. In this formulation, the Markov parameters of the observer are identified from input-output data. The Markov parameters of the actual system are then recovered from those of the observer and used to obtain a state space model of the system by standard realization techniques. The basic mathematical formulation is derived, and extensive numerical examples using simulated noise-free data are presented to illustrate the proposed method. Phan, Minh Q. and Horta, Lucas G. and Juang, Jer-Nan and Longman, Richard W. Langley Research Center...
Identification Of Linear Systems By An Asymptotically Stable Observer
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Author : Minh Q. Phan
language : en
Publisher:
Release Date : 1992
Identification Of Linear Systems By An Asymptotically Stable Observer written by Minh Q. Phan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with categories.
Nasa Technical Paper
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Author :
language : en
Publisher:
Release Date : 1991
Nasa Technical Paper written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Astronautics categories.
Nasa Technical Paper
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Author : United States. National Aeronautics and Space Administration
language : en
Publisher:
Release Date : 1992
Nasa Technical Paper written by United States. National Aeronautics and Space Administration and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Aeronautics categories.
The Proceedings Of The 2018 Asia Pacific International Symposium On Aerospace Technology Apisat 2018
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Author : Xinguo Zhang
language : en
Publisher: Springer
Release Date : 2019-06-08
The Proceedings Of The 2018 Asia Pacific International Symposium On Aerospace Technology Apisat 2018 written by Xinguo Zhang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-08 with Technology & Engineering categories.
This book is a compilation of peer-reviewed papers from the 2018 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2018). The symposium is a common endeavour between the four national aerospace societies in China, Australia, Korea and Japan, namely, the Chinese Society of Aeronautics and Astronautics (CSAA), Royal Aeronautical Society Australian Division (RAeS Australian Division), the Korean Society for Aeronautical and Space Sciences (KSAS) and the Japan Society for Aeronautical and Space Sciences (JSASS). APISAT is an annual event initiated in 2009 to provide an opportunity for researchers and engineers from Asia-Pacific countries to discuss current and future advanced topics in aeronautical and space engineering.
Observers For Linear Systems
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Author : John O'Reilly
language : en
Publisher: Academic Press
Release Date : 1983-08-18
Observers For Linear Systems written by John O'Reilly and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983-08-18 with Business & Economics categories.
My aim, in writing this monograph, has been to remedy this omission by presenting a comprehensive and unified theory of observers for continuous-time and discrete -time linear systems. The book is intended for post-graduate students and researchers specializing in control systems, now a core subject in a number of disciplines. Forming, as it does, a self-contained volume it should also be of service to control engineers primarily interested in applications, and to mathematicians with some exposure to control problems.
Scientific And Technical Aerospace Reports
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Author :
language : en
Publisher:
Release Date : 1995
Scientific And Technical Aerospace Reports written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Aeronautics categories.
Nasa Workshop On Distributed Parameter Modeling And Control Of Flexible Aerospace Systems
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Author :
language : en
Publisher:
Release Date : 1994
Nasa Workshop On Distributed Parameter Modeling And Control Of Flexible Aerospace Systems written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Distributed parameter systems categories.
Optimized System Identification
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Author : Jer-Nan Juang
language : en
Publisher:
Release Date : 1999
Optimized System Identification written by Jer-Nan Juang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Algorithms categories.
In system identification, one usually cares most about finding a model whose outputs are as close as possible to the true system outputs when the same input is applied to both. However, most system identification algorithms do not minimize this output error. Often they minimize model equation error instead, as in typical least-squares fits using a finite-difference model, and it is seen here that this distinction is significant. Here, we develop a set of system identification algorithms that minimize output error for multi-input/multi-output and multi-input/single-output systems. This is done with sequential quadratic programming iterations on the nonlinear least-squares problems, with an eigendecomposition to handle indefinite second partials. This optimization minimizes a nonlinear function of many variables, and hence can converge to local minima. To handle this problem, we start the iterations from the OKID (Observer/Kalman Identification) algorithm result. Not only has OKID proved very effective in practice, it minimizes an output error of an observer which has the property that as the data set gets large, it converges to minimizing the criterion of interest here. Hence, it is a particularly good starting point for the nonlinear iterations here. Examples show that the methods developed here eliminate the bias that is often observed using any system identification methods of either over-estimating or under-estimating the damping of vibration modes in lightly damped structures.