Model Predictive Control of Wastewater Systems (Record no. 111022)

000 -LEADER
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
-- PDF
-- 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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