Soft Computing for Control of Non-Linear Dynamical Systems

Soft Computing for Control of Non-Linear Dynamical Systems PDF Author: Oscar Castillo
Publisher: Physica
ISBN: 3790818321
Category : Computers
Languages : en
Pages : 231

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Book Description
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.

Soft Computing for Control of Non-Linear Dynamical Systems

Soft Computing for Control of Non-Linear Dynamical Systems PDF Author: Oscar Castillo
Publisher: Physica
ISBN: 3790818321
Category : Computers
Languages : en
Pages : 231

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Book Description
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

Modelling, Simulation and Control of Non-linear Dynamical Systems PDF Author: Patricia Melin
Publisher: CRC Press
ISBN: 1420024523
Category : Mathematics
Languages : en
Pages : 262

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Book Description
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

Modeling, Simulation and Control of Non-Linear Dynamical Systems PDF Author: Patricia Melin
Publisher: Harwood Academic Publishers
ISBN: 9789056992750
Category :
Languages : en
Pages : 272

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Book Description


Special Issue on Soft Computing for Modeling, Simulation, and Control of Nonlinear Dynamical Systems

Special Issue on Soft Computing for Modeling, Simulation, and Control of Nonlinear Dynamical Systems PDF Author: Oscar Castillo
Publisher:
ISBN:
Category :
Languages : en
Pages : 184

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Book Description


Soft Computing Based Control

Soft Computing Based Control PDF Author: Abdul Kareem
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659109171
Category :
Languages : de
Pages : 124

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Book Description
Most physical plants are nonlinear in nature and coupled with uncertain dynamics due to external disturbances or unmodeled nonlinearities or even unpredictable faults. In many cases, a good response of complex and highly nonlinear real process is difficult to obtain by applying conventional techniques based on linear mathematical models of the process. The performance of the conventional controller deteriorates as the operating point changes. Also, non-linear dynamical systems are difficult to control due to the unstable and even chaotic behaviors and uncertainties that may occur in these systems. In the present industrial scenario, it is required to have automatic control with good performance over a wide operating range with simple design and implementation. The application of Soft Computing techniques is a good alternative for controlling non-linear dynamical systems with uncertainties in real-world problems. This book deals with Soft Computing based algorithms for the control of dynamic uncertain systems. In this book, the design of algorithms with DC-DC Converter as an example are discussed. Also, the simulations based on Matlab/Simulink are presented.

Hybrid Intelligent Systems

Hybrid Intelligent Systems PDF Author: Oscar Castillo
Publisher: Springer
ISBN: 3540374213
Category : Computers
Languages : en
Pages : 431

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Book Description
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.

Modelling Dynamics in Processes and Systems

Modelling Dynamics in Processes and Systems PDF Author: Wojciech Mitkowski
Publisher: Springer Science & Business Media
ISBN: 3540922024
Category : Mathematics
Languages : en
Pages : 195

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Book Description
Dynamics is what characterizes virtually all phenomenae we face in the real world, and processes that proceed in practically all kinds of inanimate and animate systems, notably social systems. For our purposes dynamics is viewed as time evolution of some characteristic features of the phenomenae or processes under consideration. It is obvious that in virtually all non-trivial problems dynamics can not be neglected, and should be taken into account in the analyses to, first, get insight into the problem consider, and second, to be able to obtain meaningful results. A convenient tool to deal with dynamics and its related evolution over time is to use the concept of a dynamic system which, for the purposes of this volume can be characterized by the input (control), state and output spaces, and a state transition equation. Then, starting from an initial state, we can find a sequence of consecutive states (outputs) under consecutive inputs (controls). That is, we obtain a trajectory. The state transition equation may be given in various forms, exemplified by differential and difference equations, linear or nonlinear, deterministic or stochastic, or even fuzzy (imprecisely specified), fully or partially known, etc. These features can give rise to various problems the analysts may encounter like numerical difficulties, instability, strange forms of behavior (e.g. chaotic), etc. This volume is concerned with some modern tools and techniques which can be useful for the modeling of dynamics. We focus our attention on two important areas which play a key role nowadays, namely automation and robotics, and biological systems. We also add some new applications which can greatly benefit from the availability of effective and efficient tools for modeling dynamics, exemplified by some applications in security systems.

Software-Enabled Control

Software-Enabled Control PDF Author: Tariq Samad
Publisher: John Wiley & Sons
ISBN: 9780471234364
Category : Science
Languages : en
Pages : 448

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Book Description
Discusses open systems, object orientation, software agents, domain-specific languages, component architectures, as well as the dramatic IT-enabled improvements in memory, communication, and processing resources that are now available for sophisticated control algorithms to exploit. Useful for practitioners and researchers in the fields of real-time systems, aerospace engineering, embedded systems, and artificial intelligence.

Soft Computing and Industry

Soft Computing and Industry PDF Author: Rajkumar Roy
Publisher: Springer Science & Business Media
ISBN: 1447101235
Category : Technology & Engineering
Languages : en
Pages : 862

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Book Description
Soft computing embraces various methodologies for the development of intelligent systems that have been successfully applied to a large number of real-world problems. Soft Computing in Industry contains a collection of papers that were presented at the 6th On-line World Conference on Soft Computing in Industrial Applications that was held in September 2001. It provides a comprehensive overview of recent theoretical developments in soft computing as well as of successful industrial applications. It is divided into seven parts covering material on: keynote papers on various subjects ranging from computing with autopoietic systems to the effects of the Internet on education; intelligent control; classification, clustering and optimization; image and signal processing; agents, multimedia and Internet; theoretical advances; prediction, design and diagnosis. The book is aimed at researchers and professional engineers who develop and apply intelligent systems in computer engineering.

Aspects of Soft Computing, Intelligent Robotics and Control

Aspects of Soft Computing, Intelligent Robotics and Control PDF Author: János Fodor
Publisher: Springer
ISBN: 3642036333
Category : Technology & Engineering
Languages : en
Pages : 274

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Book Description
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.