Soft Computing for Control of Non-Linear Dynamical Systems
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Beschreibung
The book describes the application of soft computing techniques to modelling, simulation and control of non-linear dynamical systems. Hybrid intelligence systems, which integrate different techniques and mathematical models, are also presented. The book covers the basics of fuzzy logic, neural networks, evolutionary computation, chaos and fractal theory. It also presents in detail different hybrid architectures for developing intelligent control systems for applications in robotics, reactors, manufacturing, aircraft systems and economics.
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.
Mathematical concepts are used in combination with soft computing techniques to realize robust and adaptive control of dynamical systems Presentation of the latest achievements in combining soft computing techniques and their applications
Autor*in
Oscar Castillo
Themen in »Soft Computing for Control of Non-Linear Dynamical Systems«
Evolutionary Computation Fuzzy Fuzzy Logic Fuzzy-Logik Hybrid Intelligent Systems Intelligent Control Neural Networks Neuronale Netze Soft Computing Applications calculus classification cognition genetic algorithms robot robotics