Control and Dynamic Systems: Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 1 of 3 (Control & Dynamic Systems)

Leondes, Cornelius T.

Academic Pr

This text on control and dynamic systems is aimed at electrical and electronics engineers. Topics covered include trade-offs among conflicting objectives in robust control design, and system observer techniques in robust control systems design synthesis.

Control and Dynamic Systems: Advances in Theory and Applications : Robust Control System Techniques and Applications Part 1 (Control & Dynamic Systems)

This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effective systems, and illustrates them with examples. This volume includes Radial Basis Function networks, the Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks, weight initialization, fast and efficient variants of Hamming and Hopfield neural networks, discrete time synchronous multilevel neural systems with reduced VLSI demands, probabilistic design techniques, time-based techniques, techniques for reducing physical realization requirements, and applications to finite constraint problems. A unique and comprehensive reference for a broad array of algorithms and architectures, this book will be of use to practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering.

Algorithms and Architectures (Volume 1) (Neural Network Systems Techniques and Applications, Volume 1)

Computers & Technology

Certification

Academic Press

Optimization Techniques is a unique reference source to a diverse array of methods for achieving optimization, and includes both systems structures and computational methods. The text devotes broad coverage toa unified view of optimal learning, orthogonal transformation techniques, sequential constructive techniques, fast back propagation algorithms, techniques for neural networks with nonstationary or dynamic outputs, applications to constraint satisfaction,optimization issues and techniques for unsupervised learning neural networks, optimum Cerebellar Model of Articulation Controller systems, a new statistical theory of optimum neural learning, and the role of the Radial Basis Function in nonlinear dynamical systems.This volume is useful for practitioners, researchers, and students in industrial, manufacturing, mechanical, electrical, and computer engineering.Provides in-depth treatment of theoretical contributions to optimal learning for neural network systemsOffers a comprehensive treatment of orthogonal transformation techniques for the optimization of neural network systemsIncludes illustrative examples and comprehensive treatment of sequential constructive techniques for optimization of neural network systemsPresents a uniquely comprehensive treatment of the highly effective fast back propagation algorithms for the optimization of neural network systemsTreats, in detail, optimization techniques for neural network systems with nonstationary or dynamic inputsCovers optimization techniques and applications of neural network systems in constraint satisfaction

Optimization Techniques (Volume 2) (Neural Network Systems Techniques and Applications, Volume 2)

This volume covers practical and effective implementation techniques, including recurrent methods, Boltzmann machines, constructive learning with methods for the reduction of complexity in neural network systems, modular systems, associative memory, neural network design based on the concept of the Inductive Logic Unit, and a comprehensive treatment of implementations in the area of data classification. Numerous examples enhance the text. Practitioners, researchers,and students in engineering and computer science will find Implementation Techniques a comprehensive and powerful reference.Recurrent methodsBoltzmann machinesConstructive learning with methods for the reduction of complexity in neural network systemsModular systemsAssociative memoryNeural network design based on the concept of the Inductive Logic UnitData classificationIntegrated neuron model systems that function as programmable rational approximators

Implementation Techniques (Volume 3) (Neural Network Systems Techniques and Applications, Volume 3)

Industrial and Manufacturing Systems serves as an in-depth guide to major applications in this focal area of interest to the engineering community. This volume emphasizes the neural network structures used to achieve practical and effective systems, and provides numerous examples. Industrial and Manufacturing Systems is a unique and comprehensive reference to diverse application methodologies and implementations by means of neural network systems. It willbe of use to practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering.Quality control techniquesActive noise and vibration controlChemical processing systemsProcess monitoring and diagnosisRobotic assembly in electronics manufacturing systemsSmart structural systems of improved effectivenessClosed loop feedback control in uncertain nonlinear manufacturing systemsAdaptive neural controllers in industrial systemsMachine tool control systems Emphasis is placed on neural network structures for achieving practical and effective systems, with numerous examples illustrating the text; Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering, will find this volume a unique and comprehensive reference to diverse application methodologies and implementations by means of neura network systems.

Industrial and Manufacturing Systems (Volume 4) (Neural Network Systems Techniques and Applications, Volume 4)

Image Processing and Pattern Recognition covers major applications in the field, including optical character recognition, speech classification, medical imaging, paper currency recognition, classification reliability techniques, and sensor technology. The text emphasizes algorithms and architectures for achieving practical and effective systems, and presents many examples. Practitioners, researchers, and students in computer science, electrical engineering, andradiology, as well as those working at financial institutions, will value this unique and authoritative reference to diverse applications methodologies.Coverage includes: Optical character recognitionSpeech classificationMedical imagingPaper currency recognitionClassification reliability techniquesSensor technology Algorithms and architectures for achieving practical and effective systems are emphasized, with many examples illustrating the text. Practitioners, researchers, and students in computer science, electrical engineering, and radiology, as wellk as those working at financial institutions, will find this volume a unique and comprehensive reference source for this diverse applications area.

Image Processing and Pattern Recognition (Volume 5) (Neural Network Systems Techniques and Applications, Volume 5)

This volume covers the integration of fuzzy logic and expert systems. A vital resource in the field, it includes techniques for applying fuzzy systems to neural networks for modeling and control, systematic design procedures for realizing fuzzy neural systems, techniques for the design of rule-based expert systems using the massively parallel processing capabilities of neural networks, the transformation of neural systems into rule-based expert systems, the characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets, and applications to system identification and control as well as nonparametric, nonlinear estimation. Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will appreciate this reference source to diverse application methodologies.
<ul>
<li>Fuzzy system techniques applied to neural networks for modeling and control</li>
<li>Systematic design procedures for realizing fuzzy neural systems</li>
<li>Techniques for the design of rule-based expert systems</li>
<li>Characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets</li>
<li>System identification and control</li>
<li>Nonparametric, nonlinear estimation</li>
</ul>
Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will find this volume a unique and comprehensive reference to these diverse application methodologies

Neural Network Systems Techniques and Applications, Fuzzy Logic and Expert Systems Applications, Volume 6

Applications of fuzzy theory (often referred to as "fuzzy logic") are maturing and multiplying at a phenomenal rate, and a comprehensive treatment of these real-world techniques and applications is now very timely. Unlike traditional computer logic involving clear true or false decisions, a fuzzy logic system chooses what is most true after "considering" several contributing and possibly conflicting variables. Examples of practical devices using fuzzy computer decision-making are thermostats that respond to a combination of temperature and humidity (comfort factors), an elevator that considers how crowded a car is rather than just its proximity to the desired floor, and a camera that integrates the variables affecting picture quality. These volumes will present a logical progression from implementation and modeling techniques to industrial/commercial applications to fuzzy neural and adaptive fuzzy systems.

Fuzzy Theory Systems: Techniques and Applications

Computer Science

See the best price to sell, buy, or rent books by Leondes, Cornelius T.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Leondes, Cornelius T.

See the best price to sell, buy, or rent books by Leondes, Cornelius T.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Control and Dynamic Systems: Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 1 of 3 (Control & Dynamic Systems)

Control and Dynamic Systems: Advances in Theory and Applications : Robust Control System Techniques and Applications Part 1 (Control & Dynamic Systems)

Algorithms and Architectures (Volume 1) (Neural Network Systems Techniques and Applications, Volume 1)

Optimization Techniques (Volume 2) (Neural Network Systems Techniques and Applications, Volume 2)

Implementation Techniques (Volume 3) (Neural Network Systems Techniques and Applications, Volume 3)

Industrial and Manufacturing Systems (Volume 4) (Neural Network Systems Techniques and Applications, Volume 4)

Image Processing and Pattern Recognition (Volume 5) (Neural Network Systems Techniques and Applications, Volume 5)

Neural Network Systems Techniques and Applications, Fuzzy Logic and Expert Systems Applications, Volume 6

Fuzzy Theory Systems: Techniques and Applications

Fuzzy Theory Systems: Techniques and Applications