
- 360 pages
- English
- PDF
- Available on iOS & Android
About this book
The present edited book is a collection of 18 chapters written by internationally recognized experts and well-known professionals of the field. Chapters contribute to diverse facets of automation and control. The volume is organized in four parts according to the main subjects, regarding the recent advances in this field of engineering. The first thematic part of the book is devoted to automation. This includes solving of assembly line balancing problem and design of software architecture for cognitive assembling in production systems. The second part of the book concerns different aspects of modelling and control. This includes a study on modelling pollutant emission of diesel engine, development of a PLC program obtained from DEVS model, control networks for digital home, automatic control of temperature and flow in heat exchanger, and non-linear analysis and design of phase locked loops. The third part addresses issues of parameter estimation and filter design, including methods for parameters estimation, control and design of the wave digital filters. The fourth part presents new results in the intelligent control. This includes building a neural PDF strategy for hydroelectric satation simulator, intelligent network system for process control, neural generalized predictive control for industrial processes, intelligent system for forecasting, diagnosis and decision making based on neural networks and self-organizing maps, development of a smart semantic middleware for the Internet, development of appropriate AI methods in fault-tollerant control, building expert system in rotary railcar dumpers, expert system for plant asset management, and building of a image retrieval system in heterogeneous database. The content of this thematic book admirably reflects the complementary aspects of theory and practice which have taken place in the last years. Certainly, the content of this book will serve as a valuable overview of theoretical and practical methods in control and automation to those who deal with engineering and research in this field of activities.
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Table of contents
- AUTOMATION & CONTROL - Theory and Practice
- Contents
- Preface
- 1. Assembly Line Balancing Problem Single and Two-Sided Structures
- 2. A Software Architecture for Cognitive Technical Systems Suitable for an Assembly Task in a Production Environment II. Modeling and Control
- 3. Two stage approaches for modeling pollutant emission of diesel engine based on Kriging model
- 4. An approach to obtain a PLC program from a DEVS model
- 5. A framework for simulating home control networks
- 6. Comparison of Defuzzification Methods: Automatic Control of Temperature and Flow inHeat Exchanger
- 7. Nonlinear Analysis and Design of Phase-Locked Loops III. Estimation and Filter Design
- 8. Methods for parameter estimation and frequency control of piezoelectric transducers
- 9. Design of the Wave Digital Filters IV. Intelligent Control
- 10. Neural PDF Control Strategy for a Hydroelectric Station Simulator
- 11. Intelligent Network System for Process Control: Applications, Challenges, Approaches
- 12. Neural Generalized Predictive Control for Industrial Processes
- 13. Forecasting, Diagnosis and Decision Making with Neural Networks and Self-Organizing Maps
- 14. Challenges of Middleware for the Internet of Things
- 15. Artificial Intelligence Methods in Fault Tolerant Control
- 16. A Real Time Expert System For Decision Making in Rotary Railcar Dumpers
- 17. Modular and Hybrid Expert System for Plant Asset Management
- 18. Image Retrieval System in Heterogeneous Database
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