Aircraft System Identification and Control: Aircraft Systems: Parameter Estimation and Control - Softcover
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Aircraft System Identification and Control
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LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659506184
ISBN 13: 9783659506185
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Aircraft System Identification and Control
Published by
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659506184
ISBN 13: 9783659506185
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PAP
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Aircraft System Identification and Control: Aircraft Systems: Parameter Estimation and Control
Published by
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659506184
ISBN 13: 9783659506185
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Aircraft System Identification and Control
Published by
LAP LAMBERT Academic Publishing Jan 2014, 2014
ISBN 10: 3659506184
ISBN 13: 9783659506185
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Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Most of the practical systems including aircraft system dynamics are nonlinear and stochastic in nature, so the linearized models without having accurate knowledge of noise characteristics to them may lead to inaccurate results and poor performance. In the presence of measurement & process noise, the parameters estimates of dynamic systems are asymptotically biased, inconsistent and inefficient. In the case of state estimation of nonlinear system, researchers have been proposed to design observers using Lyapunov theory based stability analysis. The selection of Lyapunov function is not easy in practice as it does not have specific guidelines for such selection. Contraction theory is an alternative approach to visualize the stability results for nonlinear system, & exploits the incremental behavior of the trajectories of a system with respect to each other. The stability analysis using contraction theory eliminates the selection of Lyapunov function and its extension to stochastic nonlinear system is an active research area. This book is focused on system identification of aircraft system from noisy data, and stability analysis of aircraft system in stochastic contraction framework. 224 pp. Englisch. Seller Inventory # 9783659506185
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Aircraft System Identification and Control
Published by
LAP LAMBERT Academic Publishing Jan 2014, 2014
ISBN 10: 3659506184
ISBN 13: 9783659506185
New
Taschenbuch
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Most of the practical systems including aircraft system dynamics are nonlinear and stochastic in nature, so the linearized models without having accurate knowledge of noise characteristics to them may lead to inaccurate results and poor performance. In the presence of measurement & process noise, the parameters estimates of dynamic systems are asymptotically biased, inconsistent and inefficient. In the case of state estimation of nonlinear system, researchers have been proposed to design observers using Lyapunov theory based stability analysis. The selection of Lyapunov function is not easy in practice as it does not have specific guidelines for such selection. Contraction theory is an alternative approach to visualize the stability results for nonlinear system, & exploits the incremental behavior of the trajectories of a system with respect to each other. The stability analysis using contraction theory eliminates the selection of Lyapunov function and its extension to stochastic nonlinear system is an active research area. This book is focused on system identification of aircraft system from noisy data, and stability analysis of aircraft system in stochastic contraction framework. 224 pp. Englisch. Seller Inventory # 9783659506185
Seller Image
Aircraft System Identification and Control
Published by
LAP LAMBERT Academic Publishing Jan 2014, 2014
ISBN 10: 3659506184
ISBN 13: 9783659506185
New
Taschenbuch
Seller: Wegmann1855, Zwiesel, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -Most of the practical systems including aircraft system dynamics are nonlinear and stochastic in nature, so the linearized models without having accurate knowledge of noise characteristics to them may lead to inaccurate results and poor performance. In the presence of measurement & process noise, the parameters estimates of dynamic systems are asymptotically biased, inconsistent and inefficient. In the case of state estimation of nonlinear system, researchers have been proposed to design observers using Lyapunov theory based stability analysis. The selection of Lyapunov function is not easy in practice as it does not have specific guidelines for such selection. Contraction theory is an alternative approach to visualize the stability results for nonlinear system, & exploits the incremental behavior of the trajectories of a system with respect to each other. The stability analysis using contraction theory eliminates the selection of Lyapunov function and its extension to stochastic nonlinear system is an active research area. This book is focused on system identification of aircraft system from noisy data, and stability analysis of aircraft system in stochastic contraction framework. Seller Inventory # 9783659506185