Language:
English
繁體中文
Help
圖資館首頁
Login
Back
to Search results for
[ author_sort:"skormin, victor a." ]
Switch To:
Labeled
|
MARC Mode
|
ISBD
Introduction to process controlanaly...
~
Skormin, Victor A.
Introduction to process controlanalysis, mathematical modeling, control and optimization /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Introduction to process controlby Victor A. Skormin.
Reminder of title:
analysis, mathematical modeling, control and optimization /
Author:
Skormin, Victor A.
Published:
Cham :Springer International Publishing :2016.
Description:
xvii, 254 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Business.
Online resource:
http://dx.doi.org/10.1007/978-3-319-42258-9
ISBN:
9783319422589$q(electronic bk.)
Introduction to process controlanalysis, mathematical modeling, control and optimization /
Skormin, Victor A.
Introduction to process control
analysis, mathematical modeling, control and optimization /[electronic resource] :by Victor A. Skormin. - Cham :Springer International Publishing :2016. - xvii, 254 p. :ill., digital ;24 cm. - Springer texts in business and economics,2192-4333. - Springer texts in business and economics..
Statistical Methods and their Applications -- Mathematical Description of Manufacturing Processes -- Computer Control of Manufacturing Processes -- Methods and Models of Optimazation.
This textbook is intended for an introductory graduate level on process control, taught in most engineering curricula. It focuses on the statistical techniques and methods of control and system optimization needed for the mathematical modeling, analysis, simulation, control and optimization of multivariable manufacturing processes. In four sections, it covers: Relevant mathematical methods, including random events, variables and processes, and their characteristics; estimation and confidence intervals; Bayes applications; correlation and regression analysis; statistical cluster analysis; and singular value decomposition for classification applications. Mathematical description of manufacturing processes, including static and dynamic models; model validation; confidence intervals for model parameters; principal component analysis; conventional and recursive least squares procedures; nonlinear least squares; and continuous-time, discrete-time, s-domain and Z-domain models. Control of manufacturing processes, including transfer function/transfer matrix models; state-variable models; methods of discrete-time classical control; state variable discrete-time control; state observers/estimators in control systems; methods of decoupling control; and methods of adaptive control. Methods and applications of system optimization, including unconstrained and constrained optimization; analytical and numerical optimization procedures; use of penalty functions; methods of linear programming; gradient methods; direct search methods; genetic optimization; methods and applications of dynamic programming; and applications to estimation, design, control, and planning. Each section of the book will include end-of-chapter exercises, and the book will be suitable for any systems, electrical, chemical, or industrial engineering program, as it focuses on the processes themselves, and not on the product being manufactured. Students will be able to obtain a mathematical model of any manufacturing process, to design a computer-based control system for a particular continuous manufacturing process, and be able to formulate an engineering problem in terms of optimization, as well as the ability to choose and apply the appropriate optimization technique.
ISBN: 9783319422589$q(electronic bk.)
Standard No.: 10.1007/978-3-319-42258-9doiSubjects--Topical Terms:
188101
Business.
LC Class. No.: HD30.23
Dewey Class. No.: 658.40301
Introduction to process controlanalysis, mathematical modeling, control and optimization /
LDR
:03519nmm a2200337 a 4500
001
498194
003
DE-He213
005
20161019155604.0
006
m d
007
cr nn 008maaau
008
170511s2016 gw s 0 eng d
020
$a
9783319422589$q(electronic bk.)
020
$a
9783319422572$q(paper)
024
7
$a
10.1007/978-3-319-42258-9
$2
doi
035
$a
978-3-319-42258-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
HD30.23
072
7
$a
KJT
$2
bicssc
072
7
$a
KJMD
$2
bicssc
072
7
$a
BUS049000
$2
bisacsh
082
0 4
$a
658.40301
$2
23
090
$a
HD30.23
$b
.S628 2016
100
1
$a
Skormin, Victor A.
$3
284710
245
1 0
$a
Introduction to process control
$h
[electronic resource] :
$b
analysis, mathematical modeling, control and optimization /
$c
by Victor A. Skormin.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2016.
300
$a
xvii, 254 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Springer texts in business and economics,
$x
2192-4333
505
0
$a
Statistical Methods and their Applications -- Mathematical Description of Manufacturing Processes -- Computer Control of Manufacturing Processes -- Methods and Models of Optimazation.
520
$a
This textbook is intended for an introductory graduate level on process control, taught in most engineering curricula. It focuses on the statistical techniques and methods of control and system optimization needed for the mathematical modeling, analysis, simulation, control and optimization of multivariable manufacturing processes. In four sections, it covers: Relevant mathematical methods, including random events, variables and processes, and their characteristics; estimation and confidence intervals; Bayes applications; correlation and regression analysis; statistical cluster analysis; and singular value decomposition for classification applications. Mathematical description of manufacturing processes, including static and dynamic models; model validation; confidence intervals for model parameters; principal component analysis; conventional and recursive least squares procedures; nonlinear least squares; and continuous-time, discrete-time, s-domain and Z-domain models. Control of manufacturing processes, including transfer function/transfer matrix models; state-variable models; methods of discrete-time classical control; state variable discrete-time control; state observers/estimators in control systems; methods of decoupling control; and methods of adaptive control. Methods and applications of system optimization, including unconstrained and constrained optimization; analytical and numerical optimization procedures; use of penalty functions; methods of linear programming; gradient methods; direct search methods; genetic optimization; methods and applications of dynamic programming; and applications to estimation, design, control, and planning. Each section of the book will include end-of-chapter exercises, and the book will be suitable for any systems, electrical, chemical, or industrial engineering program, as it focuses on the processes themselves, and not on the product being manufactured. Students will be able to obtain a mathematical model of any manufacturing process, to design a computer-based control system for a particular continuous manufacturing process, and be able to formulate an engineering problem in terms of optimization, as well as the ability to choose and apply the appropriate optimization technique.
650
0
$a
Business.
$3
188101
650
0
$a
Operations research.
$3
182516
650
0
$a
Decision making.
$3
183849
650
0
$a
Management information systems.
$3
199355
650
0
$a
Industrial management.
$3
174961
650
0
$a
Industrial engineering.
$3
200218
650
0
$a
Production engineering.
$3
199955
650
1 4
$a
Business and Management.
$2
eflch
$3
639169
650
2 4
$a
Operation Research/Decision Theory.
$3
585050
650
2 4
$a
Business Process Management.
$3
714086
650
2 4
$a
Industrial and Production Engineering.
$3
273753
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Springer texts in business and economics.
$3
557968
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-42258-9
950
$a
Business and Management (Springer-41169)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000133629
電子館藏
1圖書
電子書
EB HD30.23 S628 2016
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
http://dx.doi.org/10.1007/978-3-319-42258-9
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login