Author: [Anonymus AC02563444]
Publisher:
ISBN: 9780120127207
Category :
Languages : en
Pages : 410
Book Description
Control and dynamic systems : advances in theory and applications. 20. Nonlinear and Kalman filtering techniques. - Part 2
Author: [Anonymus AC02563444]
Publisher:
ISBN: 9780120127207
Category :
Languages : en
Pages : 410
Book Description
Publisher:
ISBN: 9780120127207
Category :
Languages : en
Pages : 410
Book Description
Control and Dynamic Systems V20
Author: C.T. Leonides
Publisher: Elsevier
ISBN: 0323150721
Category : Technology & Engineering
Languages : en
Pages : 431
Book Description
Control and Dynamic Systems, Volume 20 is a collection of papers that discusses the techniques and technology of the application of nonlinear filters and Kalman filters. This collection deals with issues on computation techniques along with many examples of applications of these filters. One paper reviews the bias-separated estimation theory with some alternate derivations by investigators which can provide further extensions. Another paper shows that methods and techniques used in estimating stochastic parameters that have been derived from conventional stochastic operations are effective in various applications. Other papers describe the many advanced applications of Kalman filters and nonlinear estimators in aerospace systems such as the application of adaptive Kalman filtering for aided strapdown navigation systems. As an example, a software package can test the technique of model switching; as well as other applications of the methods of adaptive Kalman filtering for aided strapdown navigation systems. Total system development of ballistic missiles concerns system-level understanding that uses modern analytic methods including applications of filtering and smoothing theory. This book can prove useful for people working in industrial process control or in econometrics, as well as nuclear physicists.
Publisher: Elsevier
ISBN: 0323150721
Category : Technology & Engineering
Languages : en
Pages : 431
Book Description
Control and Dynamic Systems, Volume 20 is a collection of papers that discusses the techniques and technology of the application of nonlinear filters and Kalman filters. This collection deals with issues on computation techniques along with many examples of applications of these filters. One paper reviews the bias-separated estimation theory with some alternate derivations by investigators which can provide further extensions. Another paper shows that methods and techniques used in estimating stochastic parameters that have been derived from conventional stochastic operations are effective in various applications. Other papers describe the many advanced applications of Kalman filters and nonlinear estimators in aerospace systems such as the application of adaptive Kalman filtering for aided strapdown navigation systems. As an example, a software package can test the technique of model switching; as well as other applications of the methods of adaptive Kalman filtering for aided strapdown navigation systems. Total system development of ballistic missiles concerns system-level understanding that uses modern analytic methods including applications of filtering and smoothing theory. This book can prove useful for people working in industrial process control or in econometrics, as well as nuclear physicists.
Control and dynamic systems : advances in theory and applications. 19. Nonlinear and Kalman filtering techniques. - Part 1
Author: [Anonymus AC02563451]
Publisher:
ISBN: 9780120127191
Category :
Languages : en
Pages : 373
Book Description
Publisher:
ISBN: 9780120127191
Category :
Languages : en
Pages : 373
Book Description
Control and Dynamic Systems V19
Author: C.T. Leonides
Publisher: Elsevier
ISBN: 0323152538
Category : Technology & Engineering
Languages : en
Pages : 392
Book Description
Volume 19: Nonlinear and Kalman Filtering Techniques, Part 1 of 3 covers the advances in the techniques and technology of nonlinear filters and Kalman filters. The book provides a comprehensive treatment of the theory and applications of nonlinear filters and Kalman filters. Chapters are devoted to the discussion of the exact and approximate state estimation techniques for nonlinear dynamic systems; computational efficiencies in the various approaches to filtering techniques; the implementation of filters by the use of microprocessors and distributed processor systems; and practical means for dealing with nonlinearities. Engineers, economists, seismologists, meteorologists, and communications experts will find this book a good reference material.
Publisher: Elsevier
ISBN: 0323152538
Category : Technology & Engineering
Languages : en
Pages : 392
Book Description
Volume 19: Nonlinear and Kalman Filtering Techniques, Part 1 of 3 covers the advances in the techniques and technology of nonlinear filters and Kalman filters. The book provides a comprehensive treatment of the theory and applications of nonlinear filters and Kalman filters. Chapters are devoted to the discussion of the exact and approximate state estimation techniques for nonlinear dynamic systems; computational efficiencies in the various approaches to filtering techniques; the implementation of filters by the use of microprocessors and distributed processor systems; and practical means for dealing with nonlinearities. Engineers, economists, seismologists, meteorologists, and communications experts will find this book a good reference material.
Control and Dynamic Systems
Author: Cornelius T. Leondes
Publisher:
ISBN: 9780120127214
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9780120127214
Category :
Languages : en
Pages :
Book Description
Nonlinear and Kalman Filtering Techniques
Author: Cornelius T. Leondes
Publisher:
ISBN:
Category : Feedback control systems
Languages : en
Pages : 422
Book Description
Publisher:
ISBN:
Category : Feedback control systems
Languages : en
Pages : 422
Book Description
Nonlinear Filtering
Author: Kumar Pakki Bharani Chandra
Publisher: Springer
ISBN: 3030017974
Category : Technology & Engineering
Languages : en
Pages : 184
Book Description
This book gives readers in-depth know-how on methods of state estimation for nonlinear control systems. It starts with an introduction to dynamic control systems and system states and a brief description of the Kalman filter. In the following chapters, various state estimation techniques for nonlinear systems are discussed, including the extended, unscented and cubature Kalman filters. The cubature Kalman filter and its variants are introduced in particular detail because of their efficiency and their ability to deal with systems with Gaussian and/or non-Gaussian noise. The book also discusses information-filter and square-root-filtering algorithms, useful for state estimation in some real-time control system design problems. A number of case studies are included in the book to illustrate the application of various nonlinear filtering algorithms. Nonlinear Filtering is written for academic and industrial researchers, engineers and research students who are interested in nonlinear control systems analysis and design. The chief features of the book include: dedicated coverage of recently developed nonlinear, Jacobian-free, filtering algorithms; examples illustrating the use of nonlinear filtering algorithms in real-world applications; detailed derivation and complete algorithms for nonlinear filtering methods, which help readers to a fundamental understanding and easier coding of those algorithms; and MATLABĀ® codes associated with case-study applications, which can be downloaded from the Springer Extra Materials website.
Publisher: Springer
ISBN: 3030017974
Category : Technology & Engineering
Languages : en
Pages : 184
Book Description
This book gives readers in-depth know-how on methods of state estimation for nonlinear control systems. It starts with an introduction to dynamic control systems and system states and a brief description of the Kalman filter. In the following chapters, various state estimation techniques for nonlinear systems are discussed, including the extended, unscented and cubature Kalman filters. The cubature Kalman filter and its variants are introduced in particular detail because of their efficiency and their ability to deal with systems with Gaussian and/or non-Gaussian noise. The book also discusses information-filter and square-root-filtering algorithms, useful for state estimation in some real-time control system design problems. A number of case studies are included in the book to illustrate the application of various nonlinear filtering algorithms. Nonlinear Filtering is written for academic and industrial researchers, engineers and research students who are interested in nonlinear control systems analysis and design. The chief features of the book include: dedicated coverage of recently developed nonlinear, Jacobian-free, filtering algorithms; examples illustrating the use of nonlinear filtering algorithms in real-world applications; detailed derivation and complete algorithms for nonlinear filtering methods, which help readers to a fundamental understanding and easier coding of those algorithms; and MATLABĀ® codes associated with case-study applications, which can be downloaded from the Springer Extra Materials website.
Nonlinear and Kalman Filtering Techniques
Author: Cornelius T. Leondes
Publisher:
ISBN:
Category : Feedback control systems
Languages : en
Pages : 422
Book Description
Publisher:
ISBN:
Category : Feedback control systems
Languages : en
Pages : 422
Book Description