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Band 65

Real Time Control Engineering Systems And Automation

Aus der Reihe Studies in Systems, Decision and Control

83,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

07.06.2018

Abbildungen

XXIII, 95 illus., 26 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Verlag

Springer Singapore

Seitenzahl

181

Maße (L/B/H)

23,5/15,5/1,2 cm

Gewicht

324 g

Auflage

Softcover reprint of the original 1st edition 2016

Sprache

Englisch

ISBN

978-981-10-9371-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

07.06.2018

Abbildungen

XXIII, 95 illus., 26 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Verlag

Springer Singapore

Seitenzahl

181

Maße (L/B/H)

23,5/15,5/1,2 cm

Gewicht

324 g

Auflage

Softcover reprint of the original 1st edition 2016

Sprache

Englisch

ISBN

978-981-10-9371-5

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: GPSR Kontakt

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  • Produktbild: Real Time Control Engineering
  • Produktbild: Real Time Control Engineering


  • Chapter 1 --- Introduction   

    1.1 Objectives

    1.2 Highlights of the book

    1.3 Organisation of the book

    Chapter 2 --- Embedded Intruder System   

    2.1 Requirements & Assumptions

    2.2 Hardware Design

    2.3 Software Design

    2.4 System Program   

    Chapter 3 --- Mechatronics

    3.1 Liquid Level Control

    3.2 Oscillating Planar

    3.3 Conveyor Inspection Using Shift Registers   

    3.4 Modern Speed Control   

    Chapter 4 --- Microcontroller

    4.1 Basic I/O Modules

    4.2 LCD & Keypad

    4.3 Waveform Timings

    4.4 Pressure Control

    4.5 Temperature Control

    4.6 Stepper Motor Control

    4.7 Serial Communications

    Chapter 5 --- Electronics Control

    5.1 D.C Motor Control

    5.2 Square Wave Generator

    5.3 PID Controller

    5.4 Control Of An Electro-Pneumatic Mechanism   

    Chapter 6 --- Electrical System

    6.1 Elevator Control

    6.2 Programmable Logic Controller

    6.3 Ladder Diagram Control Structure s   

    6.4 Safety Control Features   

    Chapter 7 --- Power Flow

    7.1 Power System Analysis

    7.2 Newton Raphson Formulation

    7.3 Load Flow Analysis Using Newton Raphson

    Chapter 8 --- Process Control

    8.1 Water Tank Control System

    8.2 Single Tank Control

    Chapter 9 --- Machine Learning

    9.1 Neural Network In Process Control

    9.2 The Artificial Neurons

    9.3 Techniques Involved In The Controllers

    9.4 NN Learning Rules

    9.5 Selection Of The Learning Algorithms

    9.6 The Network Topology

    9.7 MLP Backpropagation Network For Process Control

    9.8 Neural Network Feedback Control System

    9.8.1 Process Design:-

    9.8.2 Process Verification:-   

    9.8.3 Process Improvement:-

    9.9 Remote Operated Neural Network Control Plant

    9.9.1 Field Instrumentations

    9.9.2 Scaling And Conversions

    9.9.3 Control Valves

    9.9.4 Wireless Transmissions

    9.10 Valves And Chemical Plant Tunings

    9.10.1 Desired Chemical Mixture, Samples and NN Data

    9.10.2 Chemical And Valves Calibrations

    9.10.3 Trial Test In Actual Plant

    9.11 Computerized Neural Network Control Plant

    9.11.1 NN Real Time Control Plant

    9.11.2 Neural Network Control Program   

    Chapter 10 --- Computer Vision

    10.1 Image Thresholding

    10.2 Zhang Suen Algorithm

    10.3 Brief descriptions Of The Program Algorithm

    10.4 Image Results

    Appendix 1: MC68HC11 Registers

    Appendix 2: MCU Port Testers

    Appendix 3: LCD References   

    References   

    Index