Soft Computing For Control Of Non Linear Dynamical Systems
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Soft Computing For Control Of Non Linear Dynamical Systems
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Author : Oscar Castillo
language : en
Publisher: Physica
Release Date : 2012-12-06
Soft Computing For Control Of Non Linear Dynamical Systems written by Oscar Castillo and has been published by Physica this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
This book presents a unified view of modelling, simulation, and control of non linear dynamical systems using soft computing techniques and fractal theory. Our particular point of view is that modelling, simulation, and control are problems that cannot be considered apart, because they are intrinsically related in real world applications. Control of non-linear dynamical systems cannot be achieved if we don't have the appropriate model for the system. On the other hand, we know that complex non-linear dynamical systems can exhibit a wide range of dynamic behaviors ( ranging from simple periodic orbits to chaotic strange attractors), so the problem of simulation and behavior identification is a very important one. Also, we want to automate each of these tasks because in this way it is more easy to solve a particular problem. A real world problem may require that we use modelling, simulation, and control, to achieve the desired level of performance needed for the particular application.
Modelling Simulation And Control Of Non Linear Dynamical Systems
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Author : Patricia Melin
language : en
Publisher: CRC Press
Release Date : 2001-10-25
Modelling Simulation And Control Of Non Linear Dynamical Systems written by Patricia Melin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-10-25 with Mathematics categories.
These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-linear dynamical systems. First, a new fuzzy-fractal approach to automated mathematical modeling of non-linear dynamical systems is presented. It is illustrated with examples on the PROLOG programming la
Modeling Simulation And Control Of Non Linear Dynamical Systems
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Author : Patricia Melin
language : en
Publisher: Harwood Academic Publishers
Release Date : 2001-01-01
Modeling Simulation And Control Of Non Linear Dynamical Systems written by Patricia Melin and has been published by Harwood Academic Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-01-01 with categories.
Hybrid Intelligent Systems
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Author : Oscar Castillo
language : en
Publisher: Springer
Release Date : 2007-07-23
Hybrid Intelligent Systems written by Oscar Castillo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-23 with Computers categories.
This volume offers a general view of recent conceptual developments of Soft Computing (SC). It presents successful new applications of SC to real-world problems leading to better performance than "traditional" methods. The edited volume covers a wide spectrum of applications including areas such as: robotic dynamic systems, non-linear plants, manufacturing systems, and time series prediction.
Aspects Of Soft Computing Intelligent Robotics And Control
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Author : János Fodor
language : en
Publisher: Springer
Release Date : 2009-10-13
Aspects Of Soft Computing Intelligent Robotics And Control written by János Fodor and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-13 with Technology & Engineering categories.
Soft computing, as a collection of techniques exploiting approximation and tolerance for imprecision and uncertainty in traditionally intractable problems, has become very effective and popular especially because of the synergy derived from its components. The integration of constituent technologies provides complementary methods that allow developing flexible computing tools and solving complex problems. A wide area of natural applications of soft computing techniques consists of the control of dynamic systems, including robots. Loosely speaking, control can be understood as driving a process to attain a desired goal. Intelligent control can be seen as an extension of this concept, to include autonomous human-like interactions of a machine with the environment. Intelligent robots can be characterized by the ability to operate in an uncertain, changing environment with the help of appropriate sensing. They have the power to autonomously plan and execute motion sequences to achieve a goal specified by a human user without detailed instructions. In this volume leading specialists address various theoretical and practical aspects in soft computing, intelligent robotics and control. The problems discussed are taken from fuzzy systems, neural networks, interactive evolutionary computation, intelligent mobile robotics, and intelligent control of linear and nonlinear dynamic systems.
Stability Analysis And Nonlinear Observer Design Using Takagi Sugeno Fuzzy Models
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Author : Zsófia Lendek
language : en
Publisher: Springer
Release Date : 2010-11-26
Stability Analysis And Nonlinear Observer Design Using Takagi Sugeno Fuzzy Models written by Zsófia Lendek and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-26 with Technology & Engineering categories.
Many problems in decision making, monitoring, fault detection, and control require the knowledge of state variables and time-varying parameters that are not directly measured by sensors. In such situations, observers, or estimators, can be employed that use the measured input and output signals along with a dynamic model of the system in order to estimate the unknown states or parameters. An essential requirement in designing an observer is to guarantee the convergence of the estimates to the true values or at least to a small neighborhood around the true values. However, for nonlinear, large-scale, or time-varying systems, the design and tuning of an observer is generally complicated and involves large computational costs. This book provides a range of methods and tools to design observers for nonlinear systems represented by a special type of a dynamic nonlinear model -- the Takagi--Sugeno (TS) fuzzy model. The TS model is a convex combination of affine linear models, which facilitates its stability analysis and observer design by using effective algorithms based on Lyapunov functions and linear matrix inequalities. Takagi--Sugeno models are known to be universal approximators and, in addition, a broad class of nonlinear systems can be exactly represented as a TS system. Three particular structures of large-scale TS models are considered: cascaded systems, distributed systems, and systems affected by unknown disturbances. The reader will find in-depth theoretic analysis accompanied by illustrative examples and simulations of real-world systems. Stability analysis of TS fuzzy systems is addressed in detail. The intended audience are graduate students and researchers both from academia and industry. For newcomers to the field, the book provides a concise introduction dynamic TS fuzzy models along with two methods to construct TS models for a given nonlinear system
Modelling Simulation And Control Of Non Linear Dynamical Systems
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Author : Patricia Melin
language : en
Publisher: CRC Press
Release Date : 2001-10-25
Modelling Simulation And Control Of Non Linear Dynamical Systems written by Patricia Melin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-10-25 with Mathematics categories.
These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-linear dynamical systems. First, a new fuzzy-fractal approach to automated mathematical modeling of non-linear dynamical systems is presented. It is illustrated with examples on the PROLOG programming la
Neural Network Modeling And Identification Of Dynamical Systems
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Author : Yuri Tiumentsev
language : en
Publisher: Academic Press
Release Date : 2019-05-17
Neural Network Modeling And Identification Of Dynamical Systems written by Yuri Tiumentsev and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-17 with Science categories.
Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network models for complex systems that are typically found in real-world applications. The book introduces the theoretical knowledge available for the modeled system into the purely empirical black box model, thereby converting the model to the gray box category. This approach significantly reduces the dimension of the resulting model and the required size of the training set. This book offers solutions for identifying controlled dynamical systems, as well as identifying characteristics of such systems, in particular, the aerodynamic characteristics of aircraft. Covers both types of dynamic neural networks (black box and gray box) including their structure, synthesis and training Offers application examples of dynamic neural network technologies, primarily related to aircraft Provides an overview of recent achievements and future needs in this area
Intelligent Control Systems Using Computational Intelligence Techniques
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Author : A.E. Ruano
language : en
Publisher: IET
Release Date : 2005-07-18
Intelligent Control Systems Using Computational Intelligence Techniques written by A.E. Ruano and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-18 with Computers categories.
Intelligent Control techniques are becoming important tools in both academia and industry. Methodologies developed in the field of soft-computing, such as neural networks, fuzzy systems and evolutionary computation, can lead to accommodation of more complex processes, improved performance and considerable time savings and cost reductions. Intelligent Control Systems using Computational Intellingence Techniques details the application of these tools to the field of control systems. Each chapter gives and overview of current approaches in the topic covered, with a set of the most important references in the field, and then details the author's approach, examining both the theory and practical applications.
Soft Computing
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Author : Luigi Fortuna
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Soft Computing written by Luigi Fortuna and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
The book presents a clear understanding of a new type of computation system, the Cellular Neural Network (CNN), which has been successfully applied to the solution of many heavy computation problems, mainly in the fields of image processing and complex partial differential equations. The text describes how CNN will improve the soft-computation toolbox, and examines the many applications of soft computing to complex systems.