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nonlinear systems mathematical models matches 7 work(s)
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Cover for 9780857296115 Cover for 9781447162414 Cover for 9781439819814 Cover for 9781849961004 Cover for 9780521621700 Cover for 9780387263281 Cover for 9781853125348 Cover for 9780792381952
cover image for 9781447162414
Product Description: This book details the analysis of continuous- and discrete-time dynamical systems described by differential and difference equations respectively. Differential geometry provides the tools for this, such as first-integrals or orbital symmetries, together with normal forms of vector fields and of maps...read more

Hardcover:

9780857296115 | Springer Verlag, May 31, 2011, cover price $209.00 | About this edition: This book details the analysis of continuous- and discrete-time dynamical systems described by differential and difference equations respectively.

Paperback:

9781447162414 | Springer Verlag, August 23, 2014, cover price $209.00 | About this edition: This book details the analysis of continuous- and discrete-time dynamical systems described by differential and difference equations respectively.

cover image for 9781439819814
Product Description: Model-Based Control of Nonlinear Systems presents model-based control techniques for nonlinear, constrained systems. It covers constructive control design methods with an emphasis on modeling constrained systems, generating dynamic control models, and designing tracking control algorithms for the models...read more

Hardcover:

9781439819814 | Chapman & Hall, July 17, 2012, cover price $122.95 | About this edition: Model-Based Control of Nonlinear Systems presents model-based control techniques for nonlinear, constrained systems.

cover image for 9781849961004
Product Description: Linear, Time-varying Approximations to Nonlinear Dynamical Systems introduces a new technique for analysing and controlling nonlinear systems. This method is general and requires only very mild conditions on the system nonlinearities, setting it apart from other techniques such as those – well-known – based on differential geometry...read more

Paperback:

9781849961004 | 1 edition (Springer Verlag, March 1, 2010), cover price $209.00 | About this edition: Linear, Time-varying Approximations to Nonlinear Dynamical Systems introduces a new technique for analysing and controlling nonlinear systems.

Hardcover:

9780521621700 | Cambridge Univ Pr, May 1, 1999, cover price $105.00

Paperback:

9780521031981 | Cambridge Univ Pr, September 30, 2008, cover price $45.00

cover image for 9781853125348
Product Description: In this volume a class of problems where the BEM can be exploited to full effect are explored.
By Mark B. Bush (editor)

Hardcover:

9781853125348 | Wit Pr/Computational Mechanics, December 1, 1998, cover price $170.50 | About this edition: In this volume a class of problems where the BEM can be exploited to full effect are explored.

cover image for 9780792381952
Product Description: Nonlinear Modeling: Advanced Black-Box Techniques discusses methods on Neural nets and related model structures for nonlinear system identification; Enhanced multi-stream Kalman filter training for recurrent networks; The support vector method of function estimation; Parametric density estimation for the classification of acoustic feature vectors in speech recognition; Wavelet-based modeling of nonlinear systems; Nonlinear identification based on fuzzy models; Statistical learning in control and matrix theory; Nonlinear time-series analysis...read more (view table of contents, read Amazon.com's description)
By Johan A. K. Suykens (editor) and J. Vandewalle (editor)

Hardcover:

9780792381952 | Kluwer Academic Pub, September 1, 1998, cover price $239.00 | About this edition: Nonlinear Modeling: Advanced Black-Box Techniques discusses methods on Neural nets and related model structures for nonlinear system identification; Enhanced multi-stream Kalman filter training for recurrent networks; The support vector method of function estimation; Parametric density estimation for the classification of acoustic feature vectors in speech recognition; Wavelet-based modeling of nonlinear systems; Nonlinear identification based on fuzzy models; Statistical learning in control and matrix theory; Nonlinear time-series analysis.

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