Stochastic Distribution Control System Design (Record no. 2465)

000 -LEADER
fixed length control field 05319nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-1-84996-030-4
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20141014113501.0
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 100512s2010 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781849960304
-- 978-1-84996-030-4
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-84996-030-4
Source of number or code doi
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
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 Guo, Lei.
Relator term author.
245 10 - TITLE STATEMENT
Title Stochastic Distribution Control System Design
Medium [electronic resource] :
Remainder of title A Convex Optimization Approach /
Statement of responsibility, etc by Lei Guo, Hong Wang.
260 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc London :
Name of publisher, distributor, etc Springer London,
Date of publication, distribution, etc 2010.
264 #1 -
-- London :
-- Springer London,
-- 2010.
300 ## - PHYSICAL DESCRIPTION
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 Developments in Stochastic Distribution Control Systems -- Developments in Stochastic Distribution Control Systems -- Structural Controller Design for Stochastic Distribution Control Systems -- Proportional Integral Derivative Control for Continuous-time Stochastic Systems -- Constrained Continuous-time Proportional Integral Derivative Control Based on Convex Algorithms -- Constrained Discrete-time Proportional Integral Control Based on Convex Algorithms -- Two-step Intelligent Optimization Modeling and Control for Stochastic Distribution Control Systems -- Adaptive Tracking Stochastic Distribution Control for Two-step Neural Network Models -- Constrained Adaptive Proportional Integral Tracking Control for Two-step Neural Network Models with Delays -- Constrained Proportional Integral Tracking Control for Takagi-Sugeno Fuzzy Model -- Statistical Tracking Control – Driven by Output Statistical Information Set -- Multiple-objective Statistical Tracking Control Based on Linear Matrix Inequalities -- Adaptive Statistical Tracking Control Based on Two-step Neural Networks with Time Delays -- Fault Detection and Diagnosis for Stochastic Distribution Control Systems -- Optimal Continuous-time Fault Detection Filtering -- Optimal Discrete-time Fault Detection and Diagnosis Filtering -- Conclusions -- Summary and Potential Applications.
520 ## - SUMMARY, ETC.
Summary, etc Stochastic distribution control (SDC) systems are widely seen in practical industrial processes, the aim of the controller design being generation of output probability density functions for non-Gaussian systems. Examples of SDC processes are: particle-size-distribution control in chemical engineering, flame-distribution control in energy generation and combustion engines, steel and film production, papermaking and general quality data distribution control for various industries. SDC is different from well-developed forms of stochastic control like minimum-variance and linear-quadratic-Gaussian control, in which the aim is limited to the design of controllers for the output mean and variances. An important recent development in SDC-related problems is the establishment of intelligent SDC models and the intensive use of linear-matrix-inequality-based (LMI-based) convex optimization methods. Within this theoretical framework, control parameter determination can be designed and stability and robustness of closed-loop systems can be analyzed. Stochastic Distribution Control System Design describes the new framework of SDC system design and provides a comprehensive description of the modelling of controller design tools and their real-time implementation. The book starts with a review of current research on SDC and moves on to some basic techniques for modelling and controller design of SDC systems. This is followed by a description of controller design for fixed-control-structure SDC systems, PDF control for general input- and output-represented systems, filtering designs, and fault detection and diagnosis (FDD) for SDC systems. Many new LMI techniques being developed for SDC systems are shown to have independent theoretical significance for robust control and FDD problems. This monograph will be of interest to academic researchers in statistical, robust and process control, and FDD, process and quality control engineers working in industry and as a reference for graduate control students.  
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 Chemical engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Distribution (Probability theory).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machinery.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element System safety.
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 Probability Theory and Stochastic Processes.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Industrial Chemistry/Chemical Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Manufacturing, Machines, Tools.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Quality Control, Reliability, Safety and Risk.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Wang, Hong.
Relator term author.
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 9781849960298
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/10.1007/978-1-84996-030-4
912 ## -
-- ZDB-2-ENG
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type E-Books

No items available.



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