Identification Of Nonlinear Physiological Systems PDF Download
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| Author | : David T. Westwick |
| Publisher | : John Wiley & Sons |
| Total Pages | : 284 |
| Release | : 2003-08-28 |
| Genre | : Technology & Engineering |
| ISBN | : 9780471274568 |
Download Identification of Nonlinear Physiological Systems Book in PDF, ePub and Kindle
Significant advances have been made in the field since the previous classic texts were written. This text brings the available knowledge up to date. * Enables the reader to use a wide variety of nonlinear system identification techniques. * Offers a thorough treatment of the underlying theory. * Provides a MATLAB toolbox containing implementation of the latest identification methods together with an extensive set of problems using realistic data sets.
| Author | : Professor Vasilis Z. Marmarelis |
| Publisher | : John Wiley & Sons |
| Total Pages | : 564 |
| Release | : 2004-09-03 |
| Genre | : Medical |
| ISBN | : 9780471469605 |
Download Nonlinear Dynamic Modeling of Physiological Systems Book in PDF, ePub and Kindle
The study of nonlinearities in physiology has been hindered by the lack of effective ways to obtain nonlinear dynamic models from stimulus-response data in a practical context. A considerable body of knowledge has accumulated over the last thirty years in this area of research. This book summarizes that progress, and details the most recent methodologies that offer practical solutions to this daunting problem. Implementation and application are discussed, and examples are provided using both synthetic and actual experimental data. This essential study of nonlinearities in physiology apprises researchers and students of the latest findings and techniques in the field.
| Author | : Michael C. K. Khoo |
| Publisher | : John Wiley & Sons |
| Total Pages | : 456 |
| Release | : 2018-04-12 |
| Genre | : Science |
| ISBN | : 1119058805 |
Download Physiological Control Systems Book in PDF, ePub and Kindle
A guide to common control principles and how they are used to characterize a variety of physiological mechanisms The second edition of Physiological Control Systems offers an updated and comprehensive resource that reviews the fundamental concepts of classical control theory and how engineering methodology can be applied to obtain a quantitative understanding of physiological systems. The revised text also contains more advanced topics that feature applications to physiology of nonlinear dynamics, parameter estimation methods, and adaptive estimation and control. The author—a noted expert in the field—includes a wealth of worked examples that illustrate key concepts and methodology and offers in-depth analyses of selected physiological control models that highlight the topics presented. The author discusses the most noteworthy developments in system identification, optimal control, and nonlinear dynamical analysis and targets recent bioengineering advances. Designed to be a practical resource, the text includes guided experiments with simulation models (using Simulink/Matlab). Physiological Control Systems focuses on common control principles that can be used to characterize a broad variety of physiological mechanisms. This revised resource: Offers new sections that explore identification of nonlinear and time-varying systems, and provide the background for understanding the link between continuous-time and discrete-time dynamic models Presents helpful, hands-on experimentation with computer simulation models Contains fully updated problems and exercises at the end of each chapter Written for biomedical engineering students and biomedical scientists, Physiological Control Systems, offers an updated edition of this key resource for understanding classical control theory and its application to physiological systems. It also contains contemporary topics and methodologies that shape bioengineering research today.
| Author | : Fouad Giri |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 425 |
| Release | : 2010-08-18 |
| Genre | : Technology & Engineering |
| ISBN | : 1849965129 |
Download Block-oriented Nonlinear System Identification Book in PDF, ePub and Kindle
Block-oriented Nonlinear System Identification deals with an area of research that has been very active since the turn of the millennium. The book makes a pedagogical and cohesive presentation of the methods developed in that time. These include: iterative and over-parameterization techniques; stochastic and frequency approaches; support-vector-machine, subspace, and separable-least-squares methods; blind identification method; bounded-error method; and decoupling inputs approach. The identification methods are presented by authors who have either invented them or contributed significantly to their development. All the important issues e.g., input design, persistent excitation, and consistency analysis, are discussed. The practical relevance of block-oriented models is illustrated through biomedical/physiological system modelling. The book will be of major interest to all those who are concerned with nonlinear system identification whatever their activity areas. This is particularly the case for educators in electrical, mechanical, chemical and biomedical engineering and for practising engineers in process, aeronautic, aerospace, robotics and vehicles control. Block-oriented Nonlinear System Identification serves as a reference for active researchers, new comers, industrial and education practitioners and graduate students alike.
| Author | : Paul Gregory Hubbell |
| Publisher | : |
| Total Pages | : 154 |
| Release | : 1967 |
| Genre | : |
| ISBN | : |
Download Digital Identification and Simulation of Nonlinear Systems with Physiological Applications Book in PDF, ePub and Kindle
| Author | : Mark Shelhamer |
| Publisher | : World Scientific |
| Total Pages | : 367 |
| Release | : 2007 |
| Genre | : Science |
| ISBN | : 9812700293 |
Download Nonlinear Dynamics in Physiology Book in PDF, ePub and Kindle
This book provides a compilation of mathematical-computational tools that are used to analyze experimental data. The techniques presented are those that have been most widely and successfully applied to the analysis of physiological systems, and address issues such as randomness, determinism, dimension, and nonlinearity. In addition to bringing together the most useful methods, sufficient mathematical background is provided to enable non-specialists to understand and apply the computational techniques. Thus, the material will be useful to life-science investigators on several levels, from physiologists to bioengineer.Initial chapters present background material on dynamic systems, statistics, and linear system analysis. Each computational technique is demonstrated with examples drawn from physiology, and several chapters present case studies from oculomotor control, neuroscience, cardiology, psychology, and epidemiology. Throughout the text, historical notes give a sense of the development of the field and provide a perspective on how the techniques were developed and where they might lead. The overall approach is based largely on the analysis of trajectories in the state space, with emphasis on time-delay reconstruction of state-space trajectories. The goal of the book is to enable readers to apply these methods to their own research.
| Author | : Claudio Cobelli |
| Publisher | : Elsevier |
| Total Pages | : 337 |
| Release | : 2008-02-06 |
| Genre | : Technology & Engineering |
| ISBN | : 0080559980 |
Download Introduction to Modeling in Physiology and Medicine Book in PDF, ePub and Kindle
This unified modeling textbook for students of biomedical engineering provides a complete course text on the foundations, theory and practice of modeling and simulation in physiology and medicine. It is dedicated to the needs of biomedical engineering and clinical students, supported by applied BME applications and examples. Developed for biomedical engineering and related courses: speaks to BME students at a level and in a language appropriate to their needs, with an interdisciplinary clinical/engineering approach, quantitative basis, and many applied examples to enhance learning Delivers a quantitative approach to modeling and also covers simulation: the perfect foundation text for studies across BME and medicine Extensive case studies and engineering applications from BME, plus end-of-chapter exercises
| Author | : Jerry J. Batzel |
| Publisher | : Springer |
| Total Pages | : 270 |
| Release | : 2012-12-14 |
| Genre | : Mathematics |
| ISBN | : 3642328822 |
Download Mathematical Modeling and Validation in Physiology Book in PDF, ePub and Kindle
This volume synthesizes theoretical and practical aspects of both the mathematical and life science viewpoints needed for modeling of the cardiovascular-respiratory system specifically and physiological systems generally. Theoretical points include model design, model complexity and validation in the light of available data, as well as control theory approaches to feedback delay and Kalman filter applications to parameter identification. State of the art approaches using parameter sensitivity are discussed for enhancing model identifiability through joint analysis of model structure and data. Practical examples illustrate model development at various levels of complexity based on given physiological information. The sensitivity-based approaches for examining model identifiability are illustrated by means of specific modeling examples. The themes presented address the current problem of patient-specific model adaptation in the clinical setting, where data is typically limited.
| Author | : Rik Pintelon |
| Publisher | : John Wiley & Sons |
| Total Pages | : 644 |
| Release | : 2004-04-05 |
| Genre | : Science |
| ISBN | : 0471660957 |
Download System Identification Book in PDF, ePub and Kindle
Electrical Engineering System Identification A Frequency Domain Approach How does one model a linear dynamic system from noisy data? This book presents a general approach to this problem, with both practical examples and theoretical discussions that give the reader a sound understanding of the subject and of the pitfalls that might occur on the road from raw data to validated model. The emphasis is on robust methods that can be used with a minimum of user interaction. Readers in many fields of engineering will gain knowledge about: * Choice of experimental setup and experiment design * Automatic characterization of disturbing noise * Generation of a good plant model * Detection, qualification, and quantification of nonlinear distortions * Identification of continuous- and discrete-time models * Improved model validation tools and from the theoretical side about: * System identification * Interrelations between time- and frequency-domain approaches * Stochastic properties of the estimators * Stochastic analysis System Identification: A Frequency Domain Approach is written for practicing engineers and scientists who do not want to delve into mathematical details of proofs. Also, it is written for researchers who wish to learn more about the theoretical aspects of the proofs. Several of the introductory chapters are suitable for undergraduates. Each chapter begins with an abstract and ends with exercises, and examples are given throughout.
| Author | : Westwick D. |
| Publisher | : |
| Total Pages | : |
| Release | : 2001 |
| Genre | : |
| ISBN | : 9780780347106 |
Download Indentification of Nonlinear Physiological Systems Book in PDF, ePub and Kindle
