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Integrated System for Intelligent Control, Ming Rao


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Автор: Ming Rao
Название:  Integrated System for Intelligent Control
ISBN: 9783540549130
Издательство: Springer
Классификация:
ISBN-10: 3540549137
Обложка/Формат: Paperback
Страницы: 137
Вес: 0.25 кг.
Дата издания: 17.12.1991
Серия: Lecture Notes in Control and Information Sciences
Язык: English
Размер: 244 x 170 x 8
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The main objectives of this book are a) to provide a refe-rence book for teaching graduate and undergraduate studentsin control systems, distributedAI, computer integrated ma-nufacturing, AI in engineering applications and computerscience, b) to help professional research staff to trace theup-to-date technology developed in above areas;


Soft Computing for Intelligent Control and Mobile Robotics

Автор: Oscar Castillo; Witold Pedrycz
Название: Soft Computing for Intelligent Control and Mobile Robotics
ISBN: 3642422985 ISBN-13(EAN): 9783642422980
Издательство: Springer
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Цена: 30606.00 р.
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Описание: Soft Computing includes intelligent computing paradigms such as fuzzy logic, neural networks, and bio-inspired optimization algorithms. This book describes hybrid intelligent systems with soft computing techniques for intelligent control and mobile robotics.

Advances in Robot Design and Intelligent Control

Автор: Rodi?
Название: Advances in Robot Design and Intelligent Control
ISBN: 3319490575 ISBN-13(EAN): 9783319490571
Издательство: Springer
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Цена: 39130.00 р.
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Описание: This book presents the proceedings of the 25th International Conference on Robotics in Alpe-Adria-Danube Region, RAAD 2016 held in Belgrade, Serbia, on June 30th–July 2nd, 2016. In keeping with the tradition of the event, RAAD 2016 covered all the important areas of research and innovation in new robot designs and intelligent robot control, with papers including Intelligent robot motion control; Robot vision and sensory processing; Novel design of robot manipulators and grippers; Robot applications in manufacturing and services; Autonomous systems, humanoid and walking robots; Human–robot interaction and collaboration; Cognitive robots and emotional intelligence; Medical, human-assistive robots and prosthetic design; Robots in construction and arts, and Evolution, education, legal and social issues of robotics. For the first time in RAAD history, the themes cloud robots, legal and ethical issues in robotics as well as robots in arts were included in the technical program. The book is a valuable resource for researchers in fields of robotics, engineers who implement robotic solutions in manufacturing, services and healthcare, and master’s and Ph.D. students working on robotics projects.

Complex System Modelling and Control Through Intelligent Soft Computations

Автор: Quanmin Zhu; Ahmad Taher Azar
Название: Complex System Modelling and Control Through Intelligent Soft Computations
ISBN: 3319128825 ISBN-13(EAN): 9783319128825
Издательство: Springer
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Цена: 26122.00 р.
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Описание: Design and Modeling of Anti Wind Up PID Controllers.- A Hybrid Global Optimization Algorithm: Particle Swarm Optimization in Association with a Genetic Algorithm.- Towards Robust Performance Guarantees for Models Learned from High-Dimensional Data.- Expert-Based Method of Integrated Waste Management Systems for Developing Fuzzy Cognitive Map.- Leukocyte Detection through an Evolutionary Method.- PWARX model identification based on clustering approach.- Supplier quality evaluation using a fuzzy multi criteria decision making approach.- Concept Trees: Building Dynamic Concepts from Semi-Structured Data using Nature-Inspired Methods.- Swarm Intelligence Techniques and Their Adaptive Nature with Applications.- Signal Based Fault Detection and Diagnosis for rotating electrical machines: Issues and Solutions.- Modelling Of Intrusion Detection System Using Artificial Intelligence -Evaluation Of Performance Measures.- Enhanced Power System Security Assessment through Intelligent Decision Trees.- Classification of Normal and Epileptic Seizure EEG Signals based on Empirical Mode Decomposition.- A Rough Set Based Total Quality Management Approach in Higher Education.- Iterative Dual Rational Krylov and Iterative SVD-Dual Rational Krylov Model Reduction for Switched Linear Systems.- Household Electrical Consumption Modeling through Fuzzy Logic Approach.- Modeling, Identification and Control of irrigation station with sprinkling: Takagi- Sugeno approach.- Review and Improvement of Several Optimal Intelligent Pitch Controllers and Estimator of WECS via Artificial Intelligent Approaches.- Secondary and Tertiary Structure Prediction of Proteins: A Bioinformatic Approach.- Approximation of Optimized Fuzzy Logic Controller for Shunt Active Power Filter.-Soft Computing Techniques For Optimal Capacitor Placement.- Advanced Metaheuristics-based Approach for Fuzzy Control Systems Tuning.- Robust Estimation Design for Unknown Inputs Fuzzy Bilinear Models: Application to Faults Diagnosis.- Unit Commitment Optimization Using Gradient-Genetic algorithm and Fuzzy logic approaches.- Impact of Hardware/Software Partitioning and MicroBlaze FPGA Configurations on the Embedded Systems Performances.- A Neural Approach to Cursive Handwritten Character Recognition using Features Extracted from Binarization Technique.- System Identification Technique and Neural Networks for Material Lifetime Assessment Application.- Measuring Software Reliability: A Trend using Machine Learning Techniques.- Hybrid Metaheuristic Approach for Scheduling of Aperiodic OS Tasks.

Complex System Modelling and Control Through Intelligent Soft Computations

Автор: Quanmin Zhu; Ahmad Taher Azar
Название: Complex System Modelling and Control Through Intelligent Soft Computations
ISBN: 3319382381 ISBN-13(EAN): 9783319382388
Издательство: Springer
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Цена: 22201.00 р.
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Описание: Design and Modeling of Anti Wind Up PID Controllers.- A Hybrid Global Optimization Algorithm: Particle Swarm Optimization in Association with a Genetic Algorithm.- Towards Robust Performance Guarantees for Models Learned from High-Dimensional Data.- Expert-Based Method of Integrated Waste Management Systems for Developing Fuzzy Cognitive Map.- Leukocyte Detection through an Evolutionary Method.- PWARX model identification based on clustering approach.- Supplier quality evaluation using a fuzzy multi criteria decision making approach.- Concept Trees: Building Dynamic Concepts from Semi-Structured Data using Nature-Inspired Methods.- Swarm Intelligence Techniques and Their Adaptive Nature with Applications.- Signal Based Fault Detection and Diagnosis for rotating electrical machines: Issues and Solutions.- Modelling Of Intrusion Detection System Using Artificial Intelligence -Evaluation Of Performance Measures.- Enhanced Power System Security Assessment through Intelligent Decision Trees.- Classification of Normal and Epileptic Seizure EEG Signals based on Empirical Mode Decomposition.- A Rough Set Based Total Quality Management Approach in Higher Education.- Iterative Dual Rational Krylov and Iterative SVD-Dual Rational Krylov Model Reduction for Switched Linear Systems.- Household Electrical Consumption Modeling through Fuzzy Logic Approach.- Modeling, Identification and Control of irrigation station with sprinkling: Takagi- Sugeno approach.- Review and Improvement of Several Optimal Intelligent Pitch Controllers and Estimator of WECS via Artificial Intelligent Approaches.- Secondary and Tertiary Structure Prediction of Proteins: A Bioinformatic Approach.- Approximation of Optimized Fuzzy Logic Controller for Shunt Active Power Filter.-Soft Computing Techniques For Optimal Capacitor Placement.- Advanced Metaheuristics-based Approach for Fuzzy Control Systems Tuning.- Robust Estimation Design for Unknown Inputs Fuzzy Bilinear Models: Application to Faults Diagnosis.- Unit Commitment Optimization Using Gradient-Genetic algorithm and Fuzzy logic approaches.- Impact of Hardware/Software Partitioning and MicroBlaze FPGA Configurations on the Embedded Systems Performances.- A Neural Approach to Cursive Handwritten Character Recognition using Features Extracted from Binarization Technique.- System Identification Technique and Neural Networks for Material Lifetime Assessment Application.- Measuring Software Reliability: A Trend using Machine Learning Techniques.- Hybrid Metaheuristic Approach for Scheduling of Aperiodic OS Tasks.

Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control

Автор: Oscar Castillo; Witold Pedrycz
Название: Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control
ISBN: 3642045138 ISBN-13(EAN): 9783642045134
Издательство: Springer
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Цена: 26122.00 р.
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Описание: Soft Computing (SC) consists of intelligent computing paradigms used to create powerful hybrid intelligent systems. This book offers new methods for evolutionary design of intelligent systems using SC and their applications in modeling, simulation and control.

Intelligent Control and Computer Engineering

Автор: Sio-Iong Ao; Oscar Castillo; He Huang
Название: Intelligent Control and Computer Engineering
ISBN: 9400734565 ISBN-13(EAN): 9789400734562
Издательство: Springer
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Цена: 30606.00 р.
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Описание: Covering the latest advances in intelligent control and computer engineering, the 25 revised and extended papers in this volume are an excellent reference point for researchers and graduate students working on intelligent control and computer engineering.

Intelligent Control and Innovative Computing

Автор: Sio Iong Ao; Oscar Castillo; He Huang
Название: Intelligent Control and Innovative Computing
ISBN: 1489993142 ISBN-13(EAN): 9781489993144
Издательство: Springer
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Цена: 30606.00 р.
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Описание: This book gathers 25 articles by participants in the Advances in Intelligent Control and Innovative Computing conference (held at IMECS March, 2011). Covers AI, control engineering, decision support systems, modeling and simulation and industrial applications.

Type-2 Fuzzy Logic in Intelligent Control Applications

Автор: Oscar Castillo
Название: Type-2 Fuzzy Logic in Intelligent Control Applications
ISBN: 3642270158 ISBN-13(EAN): 9783642270154
Издательство: Springer
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Цена: 15672.00 р.
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Описание: Hybrid intelligent systems combine intelligent computing paradigms including fuzzy logic and bio-inspired optimization algorithms to produce powerful automatic control systems. This volume explains several important control applications of Type-2 fuzzy logic.


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