9781032654867 - Advances in State and Parameter Estimation: Theory and Practice de Raol, Jitendra R.; P., Parimala; V., Reshma; George, Sara M. (18 resultados)

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Condición: New. In.

Condición: New.

Condición: New. Jitendra R. Raol received BE and ME degrees in electrical engineering from M. S. University (MSU) of Baroda, Vadodara, in 1971 and 1973, respectively, and PhD (electrical &amp computer engineering) from McMaster University, Hamilton, Canada, in 1.

Hardcover. Condición: Brand New. 384 pages. 10.00x7.00x10.00 inches. In Stock.

Hardcover. Condición: new. Hardcover. This book deals with the basics of parameter estimation and state estimation as the fundamental building blocks of mathematical modelling activity in the broader field of control theory. All the methods are validated using MATLAB-based implementations with realistically simulated data for general dynamic systems, as well as for aircraft parameter estimation. This book includes several illustrative examples and chapter-end exercises.Features:Provides comprehensive coverage of all issues related to parameter and state estimation.Discusses advanced topics related to Kalman filter, stability analysis, image centroid tracking and neural networks for parameter estimation.Explores convergence and stability results for the discussed methods.Reviews the estimation of parameters in linear/nonlinear models, and distributed fitting.Includes MATLAB-based illustrative examples, and exercises.This book is aimed at researchers and graduate students in systems and control, signal processing, estimation theory, engineering mathematics, and aerospace engineering. This book deals with basics of parameter estimation and state estimation as the building blocks of mathematical modelling activity in the broader field of control theory. All the methods are validated using MATLAB based implementations with realistically simulated data. It includes several illustrative examples and exercises. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condición: new. Hardcover. This book deals with the basics of parameter estimation and state estimation as the fundamental building blocks of mathematical modelling activity in the broader field of control theory. All the methods are validated using MATLAB-based implementations with realistically simulated data for general dynamic systems, as well as for aircraft parameter estimation. This book includes several illustrative examples and chapter-end exercises.Features:Provides comprehensive coverage of all issues related to parameter and state estimation.Discusses advanced topics related to Kalman filter, stability analysis, image centroid tracking and neural networks for parameter estimation.Explores convergence and stability results for the discussed methods.Reviews the estimation of parameters in linear/nonlinear models, and distributed fitting.Includes MATLAB-based illustrative examples, and exercises.This book is aimed at researchers and graduate students in systems and control, signal processing, estimation theory, engineering mathematics, and aerospace engineering. This book deals with basics of parameter estimation and state estimation as the building blocks of mathematical modelling activity in the broader field of control theory. All the methods are validated using MATLAB based implementations with realistically simulated data. It includes several illustrative examples and exercises. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book deals with the basics of parameter estimation and state estimation as the fundamental building blocks of mathematical modelling activity in the broader field of control theory. All the methods are validated using MATLAB®-based implementations with realistically simulated data for general dynamic systems, as well as for aircraft parameter estimation. This book includes several illustrative examples and chapter-end exercises.Features:Provides comprehensive coverage of all issues related to parameter and state estimation.Discusses advanced topics related to Kalman filter, stability analysis, image centroid tracking and neural networks for parameter estimation.Explores convergence and stability results for the discussed methods.Reviews the estimation of parameters in linear/nonlinear models, and distributed fitting.Includes MATLAB®-based illustrative examples, and exercises.This book is aimed at researchers and graduate students in systems and control, signal processing, estimation theory, engineering mathematics, and aerospace engineering. 356 pp. Englisch.

HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book deals with the basics of parameter estimation and state estimation as the fundamental building blocks of mathematical modelling activity in the broader field of control theory. All the methods are validated using MATLAB®-based implementations with realistically simulated data for general dynamic systems, as well as for aircraft parameter estimation. This book includes several illustrative examples and chapter-end exercises.Features:Provides comprehensive coverage of all issues related to parameter and state estimation.Discusses advanced topics related to Kalman filter, stability analysis, image centroid tracking and neural networks for parameter estimation.Explores convergence and stability results for the discussed methods.Reviews the estimation of parameters in linear/nonlinear models, and distributed fitting.Includes MATLAB®-based illustrative examples, and exercises.This book is aimed at researchers and graduate students in systems and control, signal processing, estimation theory, engineering mathematics, and aerospace engineering.

Hardcover. Condición: new. Hardcover. This book deals with the basics of parameter estimation and state estimation as the fundamental building blocks of mathematical modelling activity in the broader field of control theory. All the methods are validated using MATLAB-based implementations with realistically simulated data for general dynamic systems, as well as for aircraft parameter estimation. This book includes several illustrative examples and chapter-end exercises.Features:Provides comprehensive coverage of all issues related to parameter and state estimation.Discusses advanced topics related to Kalman filter, stability analysis, image centroid tracking and neural networks for parameter estimation.Explores convergence and stability results for the discussed methods.Reviews the estimation of parameters in linear/nonlinear models, and distributed fitting.Includes MATLAB-based illustrative examples, and exercises.This book is aimed at researchers and graduate students in systems and control, signal processing, estimation theory, engineering mathematics, and aerospace engineering. This book deals with basics of parameter estimation and state estimation as the building blocks of mathematical modelling activity in the broader field of control theory. All the methods are validated using MATLAB based implementations with realistically simulated data. It includes several illustrative examples and exercises. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.