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Intelligent Observer And Control Design For Nonlinear Systems

Author: Dierk Schröder
Publisher: Springer Science & Business Media
ISBN: 3662041170
Size: 46.75 MB
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This application-oriented monograph focuses on a novel and complex type of control systems. Written on an engineering level, including fundamentals, advanced methods and applications, the book applies techniques originating from new methods such as artificial intelligence, fuzzy logic, neural networks etc.

Intelligente Verfahren

Author: Dierk Schröder
Publisher: Springer-Verlag
ISBN: 3642113982
Size: 48.35 MB
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Das Buch führt anschaulich und verständlich in das Gebiet der intelligenten Verfahren ein. Nach den theoretischen Grundlagen erläutert der Autor praktische Beispiele, wobei er auch auf fehlerhafte Ansätze hinweist. In dem Band werden verschiedene Verfahren vorgestellt und intelligente Verfahren entwickelt. Diese wurden bereits erfolgreich in der Medizin, in der Robotik sowie u. a. in der Getriebesteuerung von Hybridfahrzeugen eingesetzt.

Elektrische Antriebe Grundlagen

Author: Dierk Schröder
Publisher: Springer-Verlag
ISBN: 3642304710
Size: 67.96 MB
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Das Lehrbuch bietet eine hochaktuelle Einführung in die elektrische Antriebstechnik – eine Komponente, die für komplexe mechatronische Systeme z. B. in Hybrid- und Nutzfahrzeugen immer bedeutender wird. Den Grundlagen der Antriebsanordnungen, den Verlusten und der Erwärmung sind jeweils eigene Kapitel gewidmet. Gleichstrommaschine und Drehfeldmaschinen, die Grundlagen der Regelung und der Umrichterantriebe werden ausführlich behandelt. Für die 4. Auflage wurde die Darstellung der elektrischen Maschinen vertieft. Mit lehrreichen Übungen und Lösungen.

Computational Intelligence In Systems And Control Design And Applications

Author: S.G. Tzafestas
Publisher: Springer Science & Business Media
ISBN: 9781402003943
Size: 12.35 MB
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This book contains thirty timely contributions in the emerging field of Computational Intelligence (CI) with reference to system control design and applications. The three basic constituents ofCI are neural networks (NNs). fuzzy logic (FL) I fuzzy reasoning (FR). and genetic algorithms (GAs). NNs mimic the distributed functioning of the human brain and consist of many. rather simple. building elements (called artificial neurons) which are controlled by adaptive parameters and are able to incorporate via learning the knowledge provided by the environment, and thus respond intelligently to new stimuli. Fuzzy logic (FL) provides the means to build systems that can reason linguistically under uncertainty like the human experts (common sense reasoning). Both NNs and FL I FR are among the most widely used tools for modeling unknown systems with nonlinear behavior. FL suits better when there is some kind of knowledge about the system. such as, for example, the linguistic information of a human expert. On the other hand. NNs possess unique learning and generalization capabilities that allow the user to construct very accurate models of nonlinear systems simply using input-output data. GAs offer an interesting set of generic tools for systematic random search optimization following the mechanisms of natural genetics. In hybrid Computational Intelligence - based systems these three tools (NNs, FL, GAs) are combined in several synergetic ways producing integrated tools with enhanced learning, generalization. universal approximation. reasoning and optimization abilities.

Recent Contributions In Intelligent Systems

Author: Vassil Sgurev
Publisher: Springer
ISBN: 3319414380
Size: 46.60 MB
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This volume is a brief, yet comprehensive account of new development, tools, techniques and solutions in the broadly perceived “intelligent systems”. New concepts and ideas concern the development of effective and efficient models which would make it possible to effectively and efficiently describe and solve processes in various areas of science and technology. Special emphasis is on the dealing with uncertainty and imprecision that permeates virtually all real world processes and phenomena, and has to properly be modeled by formal and algorithmic tools and techniques so that they be adequate and useful. The papers in this volume concern a wide array of possible techniques exemplified by, on the one hand, logic, probabilistic, fuzzy, intuitionistic fuzzy, neuro-fuzzy, etc. approaches. On the other hand, they represent the use of such systems modeling tools as generalized nets, optimization and control models, systems analytic models, etc. They concerns a variety of approaches, from pattern recognition, image analysis, education system modeling, biological and medical systems modeling, etc.

Stability Analysis And Nonlinear Observer Design Using Takagi Sugeno Fuzzy Models

Author: Zsófia Lendek
Publisher: Springer
ISBN: 3642167764
Size: 71.54 MB
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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

Control And Observer Design For Nonlinear Finite And Infinite Dimensional Systems

Author: Thomas Meurer
Publisher: Springer Science & Business Media
ISBN: 9783540279389
Size: 42.40 MB
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This volume presents a well balanced combination of state-of-the-art theoretical results in the field of nonlinear controller and observer design, combined with industrial applications stemming from mechatronics, electrical, (bio–) chemical engineering, and fluid dynamics. The unique combination of results of finite as well as infinite–dimensional systems makes this book a remarkable contribution addressing postgraduates, researchers, and engineers both at universities and in industry. The contributions to this book were presented at the Symposium on Nonlinear Control and Observer Design: From Theory to Applications (SYNCOD), held September 15–16, 2005, at the University of Stuttgart, Germany. The conference and this book are dedicated to the 65th birthday of Prof. Dr.–Ing. Dr.h.c. Michael Zeitz to honor his life – long research and contributions on the fields of nonlinear control and observer design.