Overview

Environmental Systems Engineering explains how to use new computerized tools to tackle problems in systems engineering. This book covers: expert systems, fuzzy logic, networks, process dynamics, control and statistical approaches to systems analysis. Computer simulation, mathematical models, and newer methods that apply artificial intelligence and neural networks to environmental problems are emphasized. Each book topic is supported by an interactive web site featuring computer graphics, teaching games and navigational aids. Topics are developed through the use of computer exercises using practical problems as examples.

Full Product Details

Author:   Henry R. Bungay
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 1998
Dimensions:   Width: 15.50cm , Height: 1.20cm , Length: 23.50cm
Weight:   0.355kg
ISBN:  

9781461375166

ISBN 10:   1461375169
Pages:   209
Publication Date:   05 November 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Introduction.- Systems engineering.- Biological concepts.- Programming for systems applications.- Old reliable languages.- Newer languages.- Equation solvers.- 2. SIMULATION.- SIMBAS, SIMulation in BASic.- Guide for writing simbas programs.- Dissolved oxygen sag curve.- Tricks with simbas.- 3. Process Dynamics.- Dynamic analysis.- Forcing functions.- Controllers.- Distance-velocity lag.- Templates for graphical design or analysis.- Stability.- Linearity.- Open- and closed-loop responses.- Bode diagrams in matlab.- Feedforward control.- Programs for dynamic analysis.- 4. Databases.- Database management.- Spreadsheets.- Electronic databases.- 5. COMPUTER MODELS.- Philosophy.- Curve fitting.- Growth-rate relationships.- Clemson model of activated sludge.- Partial differential equations.- Plume models for air pollution.- Estuarine contaminant simulator.- Fugacity approach.- Observers.- Cellular automata models.- Conclusions.- 6. Hydraulic Networks.- Network principles.- Pipe networks.- More complicated networks.- Software for processes.- 7. Neural Networks.- How many boxes and hidden layers?.- Neural algorithms.- Commercial shells for neural networks.- Discussion.- Bioprocess monitoring and control.- Public domain programs.- 8. Expert Systems.- Common expert systems.- Advanced features of expert systems.- Commercial programs for expert systems.- Applications.- 9. Fuzzy Logic.- Fuzzy operations.- Fuzzy truth.- Fuzzy controllers.- Fuzzy approaches to state estimation.- A little more theory.- 10. Statistical Approaches.- Definitions.- Distributions.- Process performance.- Statistical features of spreadsheets.- Time series analysis.- Extreme value problems.- Independent variables.- Optimization.- Appendices A. Running Dos Programs.- B. INTRODUCTION TO A SPREADSHEET.- C. MATLAB PIPE NETWORK PROGRAM.

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