Model Predictive Control of Wastewater Systems (Record no. 111022)
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000 -LEADER | |
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fixed length control field | 04017nam a22004455i 4500 |
001 - CONTROL NUMBER | |
control field | 978-1-84996-353-4 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20140220084516.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 100930s2010 xxk| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781849963534 |
-- | 978-1-84996-353-4 |
024 7# - OTHER STANDARD IDENTIFIER | |
Standard number or code | 10.1007/978-1-84996-353-4 |
Source of number or code | doi |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | TJ212-225 |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | TJFM |
Source | bicssc |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | TEC004000 |
Source | bisacsh |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 629.8 |
Edition number | 23 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Ocampo-Martinez, Carlos. |
Relator term | author. |
245 10 - TITLE STATEMENT | |
Title | Model Predictive Control of Wastewater Systems |
Medium | [electronic resource] / |
Statement of responsibility, etc | by Carlos Ocampo-Martinez. |
264 #1 - | |
-- | London : |
-- | Springer London, |
-- | 2010. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | XXX, 217p. 69 illus., 21 illus. in color. |
Other physical details | online resource. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
-- | |
-- | rda |
490 1# - SERIES STATEMENT | |
Series statement | Advances in Industrial Control, |
International Standard Serial Number | 1430-9491 |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Background and Case Study Modelling -- Background -- Principles of the Mathematical Modelling of Sewer Networks -- Model Predictive Control of Sewer Networks -- Formulating the Model Predictive Control Problem -- Predictive Control Problem Formulation and Hybrid Systems -- Suboptimal Hybrid Model Predictive Control -- Fault-tolerance Capabilities of Model Predictive Control -- Model Predictive Control and Fault Tolerance -- Fault-tolerance Evaluation of Actuator Fault Configurations -- Concluding Remarks -- Concluding Remarks. |
520 ## - SUMMARY, ETC. | |
Summary, etc | Sewer networks are large-scale systems with many variables, complex dynamics and strongly nonlinear behaviour. Their control plays a fundamental role in the management of hydrological systems related to the natural water cycle, potentially avoiding flooding and sewer overflow in extreme weather. An adequate control scheme must deal with the complicated nature of sewer networks. Model Predictive Control of Wastewater Systems shows how sewage systems can be modelled and controlled within the framework of model predictive control (MPC). Several MPC-based strategies are proposed, accounting for the inherently complex dynamics and the multi-objective nature of the control required. The effect of system disturbance, represented by data from real rain episodes, on the performance of the control loop to which these strategies give rise is also accommodated. Complementary to these considerations is the incorporation of the closed-loop system within a fault-tolerant architecture and the study of faults in system actuators. Actuator faults are represented using hybrid modelling techniques, avoiding the loss of convexity of the related optimisation problem when the linear case is considered. The methods and control designs described in this book can easily be extrapolated to other complex systems of similar nature such as drinking-water networks and irrigation canals. A MATLAB® toolbox, created by the author and available for download from www.springer.com/ISBN will assist readers in implementing the MPC methods described within a sewer network. Model Predictive Control of Wastewater Systems will be of interest to academic researchers working with large-scale and complex systems and studying the applications of model-predictive, hybrid and fault-tolerant control. Control engineers employed in industries associated with water management will find this book a most useful resource for suggesting improvements in the control algorithms they employ. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Engineering. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Environmental pollution. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Engineering. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Control. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution. |
710 2# - ADDED ENTRY--CORPORATE NAME | |
Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY | |
Title | Springer eBooks |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Display text | Printed edition: |
International Standard Book Number | 9781849963527 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
Uniform title | Advances in Industrial Control, |
-- | 1430-9491 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-1-84996-353-4 |
912 ## - | |
-- | ZDB-2-ENG |
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