Soft Computing for Control of Non-Linear Dynamical Systems
(Sprache: Englisch)
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...
Leider schon ausverkauft
versandkostenfrei
Buch
85.59 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Soft Computing for Control of Non-Linear Dynamical Systems “
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.
Klappentext zu „Soft Computing for Control of Non-Linear Dynamical Systems “
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.
Inhaltsverzeichnis zu „Soft Computing for Control of Non-Linear Dynamical Systems “
- Introduction to Control of Non-Linear Dynamical Systems- Fuzzy Logic
- Neural Networks for Control
- Genetic Algorithms and Simulated Annealing
- Dynamical Systems Theory
- Hybrid Intelligent Systems for Time Series Prediction
- Modelling Complex Dynamical Systems with a Fuzzy Inference System for Differential Equations
- A New Theory of Fuzzy Chaos for Simulation of Non-Linear Dynamical Systems
- Intelligent Control of Robotic Dynamic Systems
- Controlling Biochemical Reactors
- Controlling Aircraft Dynamic Systems
- Controlling Electrochemical Processes
- Controlling International Trade Dynamics
Bibliographische Angaben
- Autoren: Oscar Castillo , Patricia Melin
- 2001, XVI, 221 Seiten, 112 Schwarz-Weiß-Abbildungen, Maße: 16,4 x 24,2 cm, Gebunden, Englisch
- Verlag: Physica-Verlag
- ISBN-10: 3790813494
- ISBN-13: 9783790813494
- Erscheinungsdatum: 18.01.2001
Sprache:
Englisch
Kommentar zu "Soft Computing for Control of Non-Linear Dynamical Systems"
0 Gebrauchte Artikel zu „Soft Computing for Control of Non-Linear Dynamical Systems“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Soft Computing for Control of Non-Linear Dynamical Systems".
Kommentar verfassen