Lennart Ljung's Books

System Identification

Theory for the User

By: Lennart Ljung

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The field's leading text, now completely updated. Modeling dynamical systems — theory, methodology, and applications. Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and general non-linear black box methods, including neural networks and neuro-fuzzy modeling. The book contains many new computer-based examples designed for Ljung's market-leading software, System Identification Toolbox for MATLAB. Ljung combines careful mathematics, a practical understanding of real-world applications, and extensive exercises. He introduces both black-box and tailor-made models of linear as well as non-linear systems, and he describes principles, properties, and algorithms for a variety of identification techniques: Nonparametric time-domain and frequency-domain methods. Parameter estimation methods in a general prediction error setting. Frequency domain data and frequency domain interpretations. Asymptotic analysis of parameter estimates. Linear regressions, iterative search methods, and other ways to compute estimates. Recursive (adaptive) estimation techniques. Ljung also presents detailed coverage of the key issues that can make or break system identification projects, such as defining objectives, designing experiments, controlling the bias distribution of transfer-function estimates, and carefully validating the resulting models. The first edition of System Identification has been the field's most widely cited reference for over a decade. This new edition will be the new text of choice for anyone concerned with system identification theory and practice.

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Page Count

875

Publisher

Pearson Education

Published Date

ISBN 10

0132440539

ISBN 13

9780132440530

Control Theory

By: Torkel Glad,Lennart Ljung

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Control Theory

By: Torkel Glad,Lennart Ljung

This is a textbook designed for an advanced course in control theory. Currently most textbooks on the subject either looks at "multivariate" systems or "non-linear" systems. However, Control Theory is the only textbook available that covers both. It explains current developments in these two types of control techniques, and looks at tools for computer-aided design, for example Matlab and its toolboxes. To make full use of computer design tools, a good understanding of their theoretical basis is necessary, and to enable this, the book presents relevant mathematics clearly and simply. The practical limits of control systems are explored, and the relevance of these to control design are discussed. Control Theory is an ideal textbook for final-year undergraduate and postgraduate courses, and the student will be helped by a series of exercises at the end of each chapter. Professional engineers will also welcome it as a core reference.

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Page Count

482

Publisher

CRC Press

Published Date

ISBN 10

1482268167

ISBN 13

9781482268164

Regularized System Identification

Learning Dynamic Models from Data

By: Gianluigi Pillonetto,Tianshi Chen,Alessandro Chiuso,Giuseppe De Nicolao,Lennart Ljung

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Regularized System Identification

Learning Dynamic Models from Data

By: Gianluigi Pillonetto,Tianshi Chen,Alessandro Chiuso,Giuseppe De Nicolao,Lennart Ljung

This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to anyone engaged in learning dynamic systems from data. The reader is led step by step into understanding of a novel paradigm that leverages the power of machine learning without losing sight of the system-theoretical principles of black-box identification. The authors’ reformulation of the identification problem in the light of regularization theory not only offers new insight on classical questions, but paves the way to new and powerful algorithms for a variety of linear and nonlinear problems. Regression methods such as regularization networks and support vector machines are the basis of techniques that extend the function-estimation problem to the estimation of dynamic models. Many examples, also from real-world applications, illustrate the comparative advantages of the new nonparametric approach with respect to classic parametric prediction error methods. The challenges it addresses lie at the intersection of several disciplines so Regularized System Identification will be of interest to a variety of researchers and practitioners in the areas of control systems, machine learning, statistics, and data science. This is an open access book.

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Page Count

394

Publisher

Springer Nature

Published Date

ISBN 10

3030958604

ISBN 13

9783030958602

System Identification

Theory for the User

By: Lennart Ljung

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System Identification

Theory for the User

By: Lennart Ljung

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875

Publisher

Pearson Education

Published Date

ISBN 10

0132440539

ISBN 13

9780132440530

Bayesian Filtering and Smoothing

By: Simo Särkkä,Lennart Svensson

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Bayesian Filtering and Smoothing

By: Simo Särkkä,Lennart Svensson

A Bayesian treatment of the state-of-the-art filtering, smoothing, and parameter estimation algorithms for non-linear state space models.

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Page Count

437

Publisher

Cambridge University Press

Published Date

ISBN 10

1108926649

ISBN 13

9781108926645

A Child is Born

By: Lennart Nilsson

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A Child is Born

By: Lennart Nilsson

First published nearly 40 years ago, "A Child Is Born" broke astonishing new ground, offering an unprecedented glimpse of life inside the womb.This completely revised edition of the beloved international classic is now entirely in color, with historic, never-before-seen photos in every chapter and an entirely new text.

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Page Count

242

Publisher

Delta

Published Date

ISBN 10

0385337558

ISBN 13

9780385337557

Introduction to Computation and Modeling for Differential Equations

By: Lennart Edsberg

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Introduction to Computation and Modeling for Differential Equations

By: Lennart Edsberg

Uses mathematical, numerical, and programming tools to solve differential equations for physical phenomena and engineering problems Introduction to Computation and Modeling for Differential Equations, Second Edition features the essential principles and applications of problem solving across disciplines such as engineering, physics, and chemistry. The Second Edition integrates the science of solving differential equations with mathematical, numerical, and programming tools, specifically with methods involving ordinary differential equations; numerical methods for initial value problems (IVPs); numerical methods for boundary value problems (BVPs); partial differential equations (PDEs); numerical methods for parabolic, elliptic, and hyperbolic PDEs; mathematical modeling with differential equations; numerical solutions; and finite difference and finite element methods. The author features a unique “Five-M” approach: Modeling, Mathematics, Methods, MATLAB®, and Multiphysics, which facilitates a thorough understanding of how models are created and preprocessed mathematically with scaling, classification, and approximation and also demonstrates how a problem is solved numerically using the appropriate mathematical methods. With numerous real-world examples to aid in the visualization of the solutions, Introduction to Computation and Modeling for Differential Equations, Second Edition includes: New sections on topics including variational formulation, the finite element method, examples of discretization, ansatz methods such as Galerkin’s method for BVPs, parabolic and elliptic PDEs, and finite volume methods Numerous practical examples with applications in mechanics, fluid dynamics, solid mechanics, chemical engineering, heat conduction, electromagnetic field theory, and control theory, some of which are solved with computer programs MATLAB and COMSOL Multiphysics® Additional exercises that introduce new methods, projects, and problems to further illustrate possible applications A related website with select solutions to the exercises, as well as the MATLAB data sets for ordinary differential equations (ODEs) and PDEs Introduction to Computation and Modeling for Differential Equations, Second Edition is a useful textbook for upper-undergraduate and graduate-level courses in scientific computing, differential equations, ordinary differential equations, partial differential equations, and numerical methods. The book is also an excellent self-study guide for mathematics, science, computer science, physics, and engineering students, as well as an excellent reference for practitioners and consultants who use differential equations and numerical methods in everyday situations.

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Page Count

288

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119018455

ISBN 13

9781119018452

Regularized System Identification

Learning Dynamic Models from Data

By: Gianluigi Pillonetto,Tianshi Chen,Alessandro Chiuso,Giuseppe De Nicolao,Lennart Ljung

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Regularized System Identification

Learning Dynamic Models from Data

By: Gianluigi Pillonetto,Tianshi Chen,Alessandro Chiuso,Giuseppe De Nicolao,Lennart Ljung

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Solve jigsaw puzzle

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Page Count

394

Publisher

Springer Nature

Published Date

ISBN 10

3030958604

ISBN 13

9783030958602

Control Theory

By: Torkel Glad,Lennart Ljung

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Control Theory

By: Torkel Glad,Lennart Ljung

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Solve jigsaw puzzle

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Page Count

482

Publisher

CRC Press

Published Date

ISBN 10

1482268167

ISBN 13

9781482268164

Book's by Lennart Ljung

System Identification

System Identification

Control Theory

Control Theory

Regularized System Identification

Regularized System Identification

System Identification

System Identification

Bayesian Filtering and Smoothing

Bayesian Filtering and Smoothing

A Child is Born

A Child is Born

Introduction to Computation and Modeling for Differential Equations

Introduction to Computation and Modeling for Differential Equations

Regularized System Identification

Regularized System Identification

Control Theory

Control Theory

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