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Books | Toys | Electronics | |
Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches (Signals and Communication Technology)
Customer Reviews —
Editorial Reviews — ... Product Description | Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches introduces engineers and researchers to the field of nonlinear adaptive system identification. The book includes recent research results in the area of adaptive nonlinear system identification and presents simple, concise, easy-to-understand methods for identifying nonlinear systems. These methods use adaptive filter algorithms that are well known for linear systems identification. They are applicable for...more
Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models
Customer Reviews — [1] Rating: 4 Date: 2002-04-07 Summary: Covers optimization methods ... I like the excellent and extensive overview on all kinds of optimization mehtods. You get a good feeling for the differences of linear and nonlinear, local and global optimization techniques. ...more
[2] Rating: 5 Date: 2002-02-18 Summary: Very good book ... This book covers the nonlinear modeling of static and dynamic processes. It gives a good foundation on the most important neural networks and fuzzy systems with extended treatment of local linear model approaches. It is great for researchers and engineers, who are interested not only in the theoretical background but also in many practically useful tips. I like the book very much! It is easy to understand because of many figures and explanations. ...more
[3] Rating: 5 Date: 2002-05-22 Summary: A excellent comprehensive overview ... This book is excellent compehensive overwiev over many relevant topics that are useful in the wide spectrum of data analysis: Starting with least squares - regression and its variants it comes to nonlinear local and global optimization techniques and even advanced neurofuzzy models. This book is so precious because it explains and compares nearly all useful approaches, their advantages and disadvantages, including numerical and stastical arguments. You can understand it without being a mathematician. But you should ...more
Editorial Reviews — ... Product Description | The book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. Additionally, it provides the reader with the necessary background on optimization techniques making the book self-contained. The emphasis is put on modern methods based on neural networks and fuzzy systems without neglecting the classical approaches. The entire book is written from an engineering point-of-view, focusing on the intuitive understanding of the basic relationships....more
Proceedings of the First Symposium on Testing and Identification of Nonlinear Sy
Identification of Nonlinear Dynamic Systems Using Neural Networks with Online Parameter Adjustment: Identifikation Nichtlinearer Dynamischer Systeme Mittels ... (Berichte Aus Der Automatisierungstechnik)
Nonlinear Identification & Control with Solar Energy Applications (Uppsala Dissertations from the Faculty of Science & Technology)
Nonlinear Identification and Control: A Neural Network Approach (Advances in Industrial Control)
Editorial Reviews — ... Product Description | The purpose of this monograph is to give the broad aspects of nonlinear identification and control using neural networks. It consists of three parts: - an introduction to the fundamental principles of neural networks; - several methods for nonlinear identification using neural networks; - various techniques for nonlinear control using neural networks. A number of simulated and industrial examples are used throughout the monograph to demonstrate the operation of nonlinear identification...more
Books | Toys | Electronics | |
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Books | Toys | Electronics | |
Please click here to continue your search.
Books | Toys | Electronics | |
Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches (Signals and Communication Technology)
Customer Reviews —
Editorial Reviews — ... Product Description | Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches introduces engineers and researchers to the field of nonlinear adaptive system identification. The book includes recent research results in the area of adaptive nonlinear system identification and presents simple, concise, easy-to-understand methods for identifying nonlinear systems. These methods use adaptive filter algorithms that are well known for linear systems identification. They are applicable for...more
Nonlinearity in Structural Dynamics: Detection, Identification and Modelling
Editorial Reviews — ... Product Description | Many types of engineering structure exhibit nonlinear behaviour under real operating conditions. Sometimes the unpredicted nonlinear behaviour of a system results in catastrophic failure. In civil engineering, grandstands at sporting events and concerts may be prone to nonlinear oscillations due to looseness of joints, friction and crowd movements. In the aerospace industry, nonlinear motions may have serious implications for fatigue life. In the automotive industry, examples include brake...more
Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models
Customer Reviews — [1] Rating: 5 Date: 2002-02-18 Summary: Very good book ... This book covers the nonlinear modeling of static and dynamic processes. It gives a good foundation on the most important neural networks and fuzzy systems with extended treatment of local linear model approaches. It is great for researchers and engineers, who are interested not only in the theoretical background but also in many practically useful tips. I like the book very much! It is easy to understand because of many figures and explanations. ...more
[2] Rating: 4 Date: 2002-04-07 Summary: Covers optimization methods ... I like the excellent and extensive overview on all kinds of optimization mehtods. You get a good feeling for the differences of linear and nonlinear, local and global optimization techniques. ...more
[3] Rating: 5 Date: 2002-05-22 Summary: A excellent comprehensive overview ... This book is excellent compehensive overwiev over many relevant topics that are useful in the wide spectrum of data analysis: Starting with least squares - regression and its variants it comes to nonlinear local and global optimization techniques and even advanced neurofuzzy models. This book is so precious because it explains and compares nearly all useful approaches, their advantages and disadvantages, including numerical and stastical arguments. You can understand it without being a mathematician. But you should ...more
Editorial Reviews — ... Product Description | The book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. Additionally, it provides the reader with the necessary background on optimization techniques making the book self-contained. The emphasis is put on modern methods based on neural networks and fuzzy systems without neglecting the classical approaches. The entire book is written from an engineering point-of-view, focusing on the intuitive understanding of the basic relationships....more
Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner's Handbook (Advanced Textbooks in Control and Signal Processing)
Customer Reviews — [1] Rating: 4 Date: 2005-09-11 Summary: Toolbox for Neural Net System Identification ... The book is straight forward and useful. However, I would like to see more examples using MATLAB. ...more
[2] Rating: 4 Date: 2007-01-06 Summary: all about the perceptron for control systems ... Much of the book might already be familiar to a reader involved with neural networks. The authors give a recap of decades of progress into using multilayer networks in a feedback mode. Key sections of the text discuss the weighting of the nodes and how you can realistically compute these weights. But the emphasis differs from most existing texts on neural networks. Here, the authors explain how you might control a dynamical system that could exhibit pronounced nonlinearities. The book is pitched towards someone from ...more
[3] Rating: 5 Date: 2006-01-18 Summary: it works! ... This is an excellent book. It contains theory and essential exaples for system identification and control based on ANN approach. The authors have also a WEB site where additional information and the toolboxes (MATLAB format) can be found. The programs work an they are easy to understand and run. I first tried the toolboxes (the user manuals are included with the toolboxes) and then ordered the book. It is worth having both. I highly recommend it, specially if you are a newbie in ANN but need a fast start. Cheers! ...more
Editorial Reviews — ... Product Description | The technology of neural networks has attracted much attention in recent years. Their ability to learn nonlinear relationships is widely appreciated and is utilized in many different types of applications; modelling of dynamic systems, signal processing, and control system design being some of the most common. The theory of neural computing has matured considerably over the last decade and many problems of neural network design, training and evaluation have been resolved. This book provides...more
Adaptive Modelling, Estimation and Fusion from Data
Editorial Reviews — ... Product Description | This book brings together for the first time the complete theory of data based neurofuzzy modelling and the linguistic attributes of fuzzy logic in a single cohesive mathematical framework. After introducing the basic theory of data based modelling new concepts including extended additive and multiplicative submodels are developed. All of these algorithms are illustrated with benchmark examples to demonstrate their efficiency. The book aims at researchers and advanced professionals in...more
Nonlinear System Identification - Input-Output Modeling Approach: Volume 1: Nonlinear System Parameter Identification Volume 2: Nonlinear System Structure ... Modelling: Theory and Applications) (v. 1)
Customer Reviews —
Editorial Reviews — ... Product Description | This two-volume handbook presents a comprehensive overview of nonlinear dynamic system identification. The books include many aspects of nonlinear processes: modelling, parameter estimation, structure search, nonlinearity and model validity tests. The book includes not only nonparametric models but also parametric models which include a limited number of parameters. Time domain parameter estimation is dealt with in detail; frequency domain and power spectrum procedures are also included....more
Books | Toys | Electronics | |
Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches (Signals and Communication Technology)
Customer Reviews —
Editorial Reviews — ... Product Description | Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches introduces engineers and researchers to the field of nonlinear adaptive system identification. The book includes recent research results in the area of adaptive nonlinear system identification and presents simple, concise, easy-to-understand methods for identifying nonlinear systems. These methods use adaptive filter algorithms that are well known for linear systems identification. They are applicable for...more
Nonlinearity in Structural Dynamics: Detection, Identification and Modelling
Editorial Reviews — ... Product Description | Many types of engineering structure exhibit nonlinear behaviour under real operating conditions. Sometimes the unpredicted nonlinear behaviour of a system results in catastrophic failure. In civil engineering, grandstands at sporting events and concerts may be prone to nonlinear oscillations due to looseness of joints, friction and crowd movements. In the aerospace industry, nonlinear motions may have serious implications for fatigue life. In the automotive industry, examples include brake...more
Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models
Customer Reviews — [1] Rating: 4 Date: 2002-04-07 Summary: Covers optimization methods ... I like the excellent and extensive overview on all kinds of optimization mehtods. You get a good feeling for the differences of linear and nonlinear, local and global optimization techniques. ...more
[2] Rating: 5 Date: 2002-05-22 Summary: A excellent comprehensive overview ... This book is excellent compehensive overwiev over many relevant topics that are useful in the wide spectrum of data analysis: Starting with least squares - regression and its variants it comes to nonlinear local and global optimization techniques and even advanced neurofuzzy models. This book is so precious because it explains and compares nearly all useful approaches, their advantages and disadvantages, including numerical and stastical arguments. You can understand it without being a mathematician. But you should ...more
[3] Rating: 5 Date: 2002-02-18 Summary: Very good book ... This book covers the nonlinear modeling of static and dynamic processes. It gives a good foundation on the most important neural networks and fuzzy systems with extended treatment of local linear model approaches. It is great for researchers and engineers, who are interested not only in the theoretical background but also in many practically useful tips. I like the book very much! It is easy to understand because of many figures and explanations. ...more
Editorial Reviews — ... Product Description | The book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. Additionally, it provides the reader with the necessary background on optimization techniques making the book self-contained. The emphasis is put on modern methods based on neural networks and fuzzy systems without neglecting the classical approaches. The entire book is written from an engineering point-of-view, focusing on the intuitive understanding of the basic relationships....more
Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner's Handbook (Advanced Textbooks in Control and Signal Processing)
Customer Reviews — [1] Rating: 5 Date: 2006-01-18 Summary: it works! ... This is an excellent book. It contains theory and essential exaples for system identification and control based on ANN approach. The authors have also a WEB site where additional information and the toolboxes (MATLAB format) can be found. The programs work an they are easy to understand and run. I first tried the toolboxes (the user manuals are included with the toolboxes) and then ordered the book. It is worth having both. I highly recommend it, specially if you are a newbie in ANN but need a fast start. Cheers! ...more
[2] Rating: 4 Date: 2007-01-06 Summary: all about the perceptron for control systems ... Much of the book might already be familiar to a reader involved with neural networks. The authors give a recap of decades of progress into using multilayer networks in a feedback mode. Key sections of the text discuss the weighting of the nodes and how you can realistically compute these weights. But the emphasis differs from most existing texts on neural networks. Here, the authors explain how you might control a dynamical system that could exhibit pronounced nonlinearities. The book is pitched towards someone from ...more
[3] Rating: 4 Date: 2005-09-11 Summary: Toolbox for Neural Net System Identification ... The book is straight forward and useful. However, I would like to see more examples using MATLAB. ...more
Editorial Reviews — ... Product Description | The technology of neural networks has attracted much attention in recent years. Their ability to learn nonlinear relationships is widely appreciated and is utilized in many different types of applications; modelling of dynamic systems, signal processing, and control system design being some of the most common. The theory of neural computing has matured considerably over the last decade and many problems of neural network design, training and evaluation have been resolved. This book provides...more
Adaptive Modelling, Estimation and Fusion from Data
Editorial Reviews — ... Product Description | This book brings together for the first time the complete theory of data based neurofuzzy modelling and the linguistic attributes of fuzzy logic in a single cohesive mathematical framework. After introducing the basic theory of data based modelling new concepts including extended additive and multiplicative submodels are developed. All of these algorithms are illustrated with benchmark examples to demonstrate their efficiency. The book aims at researchers and advanced professionals in...more
Nonlinear System Identification - Input-Output Modeling Approach: Volume 1: Nonlinear System Parameter Identification Volume 2: Nonlinear System Structure ... Modelling: Theory and Applications) (v. 1)
Customer Reviews —
Editorial Reviews — ... Product Description | This two-volume handbook presents a comprehensive overview of nonlinear dynamic system identification. The books include many aspects of nonlinear processes: modelling, parameter estimation, structure search, nonlinearity and model validity tests. The book includes not only nonparametric models but also parametric models which include a limited number of parameters. Time domain parameter estimation is dealt with in detail; frequency domain and power spectrum procedures are also included....more
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