Advanced Fuzzy-neural Control 2001


Book Description

This Proceedings contains the papers presented at the first IFAC Workshop on Advanced Fuzzy-Neural Control , held at Valencia, Spain, on 15-16 October 2001. This is the first IFAC technical meeting specifically devoted to fuzzy and neural control. The use of artificial intelligence techniques has been expanded to many engineering areas. Fuzzy systems, neural networks, genetic algorithms and, in general, soft computing techniques are regarded as alternatives for the solution of complex problems involving non-linear systems, optimisation and/or dealing with approximate knowledge. Fuzzy logic controllers are undoubtedly one of the most successful applications of fuzzy logic theory. The issues covered in the Proceedings include: Stability, robustness and adaptation Learning and local models Structures Design methodologies Heuristics vs. model based design Applications in process control Applications in robotics In addition to the papers, this Proceedings includes a novel section which summarises ideas and conclusions on fuzzy logic controllers from the experts attending the IFAC Workshop.




Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering


Book Description

Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence (AI) methods to build comprehensive AI systems. Describes major AI problems (pattern recognition, speech recognition, prediction, decision-making, game-playing) and provides illustrative examples. Includes applications in engineering, business and finance.




Artificial Neural Nets. Problem Solving Methods


Book Description

The two-volume set LNCS 2686 and LNCS 2687 constitute the refereed proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, held in Maó, Menorca, Spain in June 2003. The 197 revised papers presented were carefully reviewed and selected for inclusion in the book and address the following topics: mathematical and computational methods in neural modelling, neurophysiological data analysis and modelling, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, cognitive processes and artificial intelligence, methodologies for net design, bio-inspired systems and engineering, and applications in a broad variety of fields.




Practical Iterative Learning Control with Frequency Domain Design and Sampled Data Implementation


Book Description

This book is on the iterative learning control (ILC) with focus on the design and implementation. We approach the ILC design based on the frequency domain analysis and address the ILC implementation based on the sampled data methods. This is the first book of ILC from frequency domain and sampled data methodologies. The frequency domain design methods offer ILC users insights to the convergence performance which is of practical benefits. This book presents a comprehensive framework with various methodologies to ensure the learnable bandwidth in the ILC system to be set with a balance between learning performance and learning stability. The sampled data implementation ensures effective execution of ILC in practical dynamic systems. The presented sampled data ILC methods also ensure the balance of performance and stability of learning process. Furthermore, the presented theories and methodologies are tested with an ILC controlled robotic system. The experimental results show that the machines can work in much higher accuracy than a feedback control alone can offer. With the proposed ILC algorithms, it is possible that machines can work to their hardware design limits set by sensors and actuators. The target audience for this book includes scientists, engineers and practitioners involved in any systems with repetitive operations.




Expert Systems


Book Description

This six-volume set presents cutting-edge advances and applications of expert systems. Because expert systems combine the expertise of engineers, computer scientists, and computer programmers, each group will benefit from buying this important reference work. An "expert system" is a knowledge-based computer system that emulates the decision-making ability of a human expert. The primary role of the expert system is to perform appropriate functions under the close supervision of the human, whose work is supported by that expert system. In the reverse, this same expert system can monitor and double check the human in the performance of a task. Human-computer interaction in our highly complex world requires the development of a wide array of expert systems. Expert systems techniques and applications are presented for a diverse array of topics including Experimental design and decision support The integration of machine learning with knowledge acquisition for the design of expert systems Process planning in design and manufacturing systems and process control applications Knowledge discovery in large-scale knowledge bases Robotic systems Geograhphic information systems Image analysis, recognition and interpretation Cellular automata methods for pattern recognition Real-time fault tolerant control systems CAD-based vision systems in pattern matching processes Financial systems Agricultural applications Medical diagnosis




Advanced Control of Industrial Processes


Book Description

This book presents the concepts and algorithms of advanced industrial process control and on-line optimization within the framework of a multilayer structure. It describes the interaction of three separate layers of process control: direct control, set-point control, and economic optimization. The book features illustrations of the methodologies and algorithms by worked examples and by results of simulations based on industrial process models.




Advanced Synchronization Control and Bifurcation of Chaotic Fractional-Order Systems


Book Description

In the recent years, fractional-order systems have been studied by many researchers in the engineering field. It was found that many systems can be described more accurately by fractional differential equations than by integer-order models. Advanced Synchronization Control and Bifurcation of Chaotic Fractional-Order Systems is a scholarly publication that explores new developments related to novel chaotic fractional-order systems, control schemes, and their applications. Featuring coverage on a wide range of topics including chaos synchronization, nonlinear control, and cryptography, this publication is geared toward engineers, IT professionals, researchers, and upper-level graduate students seeking current research on chaotic fractional-order systems and their applications in engineering and computer science.




Robot Control 2003 (SYROCO '03)


Book Description

SYROCO'2003 covered areas and aspects of robot control Topics: Robot control techniques (adaptive, robust, learning) Modeling and identification Control of discrete / continuous-time robotic systems Non-holonomic robotic systems Intelligent control Control based on sensing Control design and architectures Force and compliance control Grasp control Flexible robots Micro robots Mobile robots Walking robots Humanoid robots Teleoperation and man / machine dynamic systems Multi-Robot-Systems, cooperative robots Applications: space, underwater, civil engineering, surgery, entertainment, mining, etc. *Provides the latest research on Robotics *Contains contributions written by experts in the field. *Part of the IFAC Proceedings Series which provides a comprehensive overview of the major topics in control engineering.




Solar Thermal Technologies for Buildings


Book Description

Solar thermal is now a proven technology in terms of reliability, cost-benefit, and low environmental impact. The integration of solar thermal systems and installations into the design of buildings can provide a clean, efficient and sustainable low-energy solution for heating and cooling, whilst, taken in a wider context, contributing to climate protection. This book covers the state of the art in the application of solar thermal technologies for buildings. This is the first book in the BEST (Buildings, Energy and Solar Technology) Series. This series presents high-quality theoretical and application-oriented material on solar energy and energy-efficient technologies. Leading international experts cover the strategies and technologies that form the basis of high-performance, sustainable buildings, crucial to enhancing our built and urban environment.




Learning and Soft Computing


Book Description

This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The book assumes that it is not only useful, but necessary, to treat SVM, NN, and FLS as parts of a connected whole. Throughout, the theory and algorithms are illustrated by practical examples, as well as by problem sets and simulated experiments. This approach enables the reader to develop SVM, NN, and FLS in addition to understanding them. The book also presents three case studies: on NN-based control, financial time series analysis, and computer graphics. A solutions manual and all of the MATLAB programs needed for the simulated experiments are available.