Sensitivity methods for analysis and design of dynamic systems with applications in control engineering: feedforward control – feedback control – robust control – state estimation
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1. Verfasser: | |
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Format: | Abschlussarbeit Buch |
Sprache: | English |
Veröffentlicht: |
Aachen
Shaker Verlag
2017
|
Schriftenreihe: | Berichte aus dem Lehrstuhl für Mechatronik Universität Rostock
Band 6 |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | XXXII, 223 Seiten Illustrationen, Diagramme 21 cm x 14.8 cm, 384 g |
ISBN: | 9783844054989 3844054987 |
Internformat
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245 | 1 | 0 | |a Sensitivity methods for analysis and design of dynamic systems with applications in control engineering |b feedforward control – feedback control – robust control – state estimation |c Andreas Rauh |
263 | |a 201709 | ||
264 | 1 | |a Aachen |b Shaker Verlag |c 2017 | |
300 | |a XXXII, 223 Seiten |b Illustrationen, Diagramme |c 21 cm x 14.8 cm, 384 g | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
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490 | 1 | |a Berichte aus dem Lehrstuhl für Mechatronik Universität Rostock |v Band 6 | |
502 | |b Habilitationsschrift |c Universität Rostock |d 2017 | ||
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653 | |a Feedback control | ||
653 | |a Feedforward control | ||
653 | |a Sensitivity analysis | ||
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Datensatz im Suchindex
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adam_text | CONTENTS
LIST OF FIGURES XIX
LIST OF TABLES XXIII
LIST OF SYMBOLS XXV
1 INTRODUCTION 1
1.1 VALIDATION AND VERIFICATION OF DYNAMIC S YSTEM S
.............................................................
1
1.1.1 VALIDATION IN THE CONTEXT OF MODELING AND IDEN TIFICATIO N
................................
1
1.1.2 VERIFICATION APPROACHES IN SIMULATION AND SYNTHESIS OF CONTROLLERS
AND STATE
ESTIMATORS
..............................................................................................................
2
1.2 DERIVATIVE COMPUTATION AND SENSITIVITY ANALYSIS FOR DYNAMIC SYSTEMS
IN CONTROL
ENGINEERING: USAGE OF ALGORITHMIC D IFFEREN TIATIO N
....................................................... 3
1.3 MODEL-PREDICTIVE AND ADAPTIVE CONTROL P RO C E D U RE
S....................................................... 4
1.4 ESTIMATION AND IDENTIFICATION A P P RO A C H E
S.......................................................................
5
1.5 BASIC CONTRIBUTIONS OF THIS W O RK
.......................................................................................
7
1.6 OUTLINE
.................................................................................................................................
7
1 METHODOLOGICAL BACKGROUND OF SENSITIVITY ANALYSIS AND ROBUST
STABILIZATION OF DYNAMIC SYSTEMS 9
2 SENSITIVITY ANALYSIS IN FEEDBACK CONTROL OF DYNAMIC SYSTEMS * AN
OVERVIEW
OF THE STATE-OF-THE-ART 11
2.1 CONTROL AND OBSERVER DESIGN FOR LINEAR DYNAMIC SYSTEMS: THE
CONTINUOUS-TIME CASE 13
2.1.1 STATE FEEDBACK C
ONTROL...........................................................................................
13
2.1.2 OUTPUT FEEDBACK CONTROL D ESIGN
..........................................................................
14
2.1.3 CONTROL DESIGN BASED ON LINEAR MATRIX INEQUALITIES FOR
CONTINUOUS-TIME
S YSTEM
S....................................................................................................................
14
2.1.4 CONTROL DESIGN BASED ON LINEAR MATRIX INEQUALITIES FOR
DISCRETE-TIME SYSTEMS 17
2.2 STATE OBSERVER DESIGN
.......................................................................................................
20
2.2.1 OBSERVER DESIGN FOR LINEAR DYNAMIC SYSTEMS: THE CONTINUOUS-TIME
CASE . 21
2.2.2 OBSERVER DESIGN FOR LINEAR DYNAMIC SYSTEMS: THE DISCRETE-TIME CASE
. . . 22
2.3 ROBUST STRATEGIES FOR CONTROL AND ESTIMATION OF UNCERTAIN LINEAR
DYNAMIC SYSTEMS . 23
2.3.1 ROBUST LMI DESIGN FOR FEEDBACK C O N TRO L
..........................................................
23
2.3.2 ROBUST STATE O B S E RV E
R...........................................................................................
25
2.3.3 ROBUST PI STATE FEEDBACK
....................................................................................
26
2.3.4 GENERALIZATION TO UNCERTAIN DISCRETE-TIME SYSTEM S
..........................................
28
2.3.5 ROBUST OUTPUT FEEDBACK D E SIG N
..........................................................................
30
2.3.6 AUGMENTATION BY COMBINED STATE AND SENSITIVITY F E E D B A C K
..........................
31
2.4 DISCRETE-TIME C A S E
..............................................................................................................
35
2.5 SIMPLIFIED VERSION OF THE DIFFERENTIAL SENSITIVITY F E E D B A C K
.............................................
38
2.6 OBSERVER-BASED SENSITIVITY E STIM ATION
.............................................................................
40
2.6.1 CONTINUOUS-TIME C A S E
...............................................................................................
40
2.6.2 DISCRETE-TIME C A SE
....................................................................................................
41
3 MODELING AND SENSITIVITY ANALYSIS OF DYNAMIC SYSTEMS 43
3.1 MODELING AND SENSITIVITY ANALYSIS FOR SYSTEMS OF ORDINARY
DIFFERENTIAL EQUATIONS . . 43
3.2 MODELING AND SENSITIVITY ANALYSIS FOR SYSTEMS OF DISCRETE-TIME
DIFFERENCE EQUATIONS 44
3.3 MODELING AND SENSITIVITY ANALYSIS BY USING DIFFERENTIAL-ALGEBRAIC
EQUATIONS .... 45
3.4 SENSITIVITY ANALYSIS FOR PARTIAL DIFFERENTIAL E Q U ATIO N
S.................................................... 47
3.4.1 EXAMPLE 1: PARTIAL DIFFERENTIAL EQUATION FOR HEAT TRANSFER IN
CARTESIAN CO
ORDINATES
....................................................................................................................
48
3.4.2 EXAMPLE 2: PARTIAL DIFFERENTIAL EQUATION FOR HEAT TRANSFER IN
CYLINDRICAL CO
ORDINATES
....................................................................................................................
50
3.4.3 EXAMPLE 3: PARTIAL DIFFERENTIAL EQUATION FOR THE ELASTIC
DEFLECTION OF A BERNOULLI
B E A M
...........................................................................................................................
50
3.5 DIFFERENTIAL-ALGEBRAIC EQUATIONS IN THE FRAMEWORK OF FEEDFORWARD
CONTROL DESIGN
AS WELL AS STATE AND PARAMETER E STIM A TIO N
.......................................................................
51
3.5.1 FORMULATION OF TRAJECTORY PLANNING AND TRACKING CONTROL FOR
SYSTEMS WITH
CONSISTENT INITIAL C
ONDITIONS....................................................................................
52
3.5.2 DIFFERENTIAL-ALGEBRAIC FORMULATION OF STATE ESTIMATION TASKS
...........................
54
4 SENSITIVITY ANALYSIS FOR THE DESIGN OF MODEL-BASED CONTROL AND STATE
ESTIMA
TION PROCEDURES 57
4.1 SENSITIVITY-BASED FEEDFORWARD TRACKING CONTROL AND SENSITIVITY-BASED
PREDICTIVE CON
TROL
..............................................................................................................................................
57
4.2 EXTENSION OF THE SENSITIVITY-BASED CONTROL PROCEDURE TO SYSTEMS OF
DIFFERENTIAL-
ALGEBRAIC
EQUATIONS.................................................................................................................
61
4.3 SENSITIVITY-BASED CONTROL FOR DISCRETE-TIME S Y S TE M S
....................................................... 64
4.4 EXTENSION OF THE SENSITIVITY-BASED CONTROL PROCEDURE TO DYNAMIC
SYSTEMS WITH IN
TERVAL U N
CERTAINTIES.................................................................................................................
65
4.4.1 FUNDAMENTAL PROPERTIES OF INTERVAL A NALYSIS
...........................................................
65
4.4.2 A VERIFIED PREDICTIVE CONTROL PROCEDURE
................................................................
67
4.4.3 PATH FOLLOWING: AUTOMATIC ADAPTATION OF OUTPUT T RA JE C TO RIE
S.......................... 69
4.4.4 ILLUSTRATIVE EXAMPLE FOR THE SENSITIVITY-BASED CONTROL PROCEDURE
WITH INTER
VAL U N C ERTA IN TIES 70
4.5 DESIGN OF SENSITIVITY-BASED STATE AND PARAMETER ESTIMATION
PROCEDURES FOR SYSTEMS
OF ORDINARY DIFFERENTIAL E Q U A TIO N
S.......................................................................................
72
4.5.1 GRADIENT-BASED ESTIMATION PROCEDURES
................................................................
74
4.5.2 NEWTON-LIKE OPTIMIZATION P RO C E D U RE
.................................................................... 76
4.5.3 OPTIONAL STEP-SIZE C O N TRO
L.......................................................................................
77
4.6 DESIGN OF SENSITIVITY-BASED STATE AND PARAMETER ESTIMATION
PROCEDURES FOR SYSTEMS
OF DIFFERENTIAL-ALGEBRAIC EQUATIONS
....................................................................................
77
4.7 SENSITIVITY ANALYSIS FOR THE IMPLEMENTATION OF LEARNING-TYPE C O N
TRO LLE RS
....................
79
4.7.1 EXTENDED SENSITIVITY-BASED CONTROL FOR CONTINUOUS-TIME AND
DISCRETE-TIME
S YSTEM
S.......................................................................................................................
79
4.7.2 ILLUSTRATIVE EXAMPLE FOR THE DISCRETE-TIME C A SE
.................................................... 81
5 EIGENVALUE SENSITIVITIES AND INCREMENTAL GAIN SCHEDULING FOR EXTENDED
LIN
EARIZATION 83
5.1 EXTENDED LINEARIZATION TECHNIQUES FOR FEEDBACK CONTROL OF NONLINEAR
CONTINUOUS-
TIME S Y STE M
S........................................................................................................................
84
5.2 CLASSICAL PROCEDURES FOR POLE ASSIGNMENT IN EXTENDED L INEARIZATION
..........................
85
5.3 INCREMENTAL GAIN SCHEDULING AND EIGENVALUE T RA C K IN G
................................................. 86
5.4 EXTENSIONS OF THE INCREMENTAL GAIN SCHEDULING PROCEDURE
..........................................
90
5.4.1 TRACKING OF NON-CONSTANT EIGENVALUES
.............................................................
90
5.4.2 GUARANTEED STABILIZATION OF TIME-VARYING S Y S TE M S
.............................................
91
5.4.3 INCREMENTAL GAIN SCHEDULING FOR NONLINEAR O B S E RV E RS
.......................... 92
6 SENSITIVITY ANALYSIS IN THE FRAME OF A VERIFIED SIMULATION OF CONTROL
SYSTEMS
WITH INTERVAL UNCERTAINTY 95
6.1 VERIFIED SIMULATION OF SETS OF ORDINARY DIFFERENTIAL EQUATIONS:
BASIC ALGORITHMS . . 96
6.1.1 ALGORITHM 1
....................................................................................................
97
6.1.2 ALGORITHM 2
.....................................................................................................
99
6.2 APPLICATION: CATALYTIC R E A C TO
R...........................................................................................
102
6.3 VERIFIED SENSITIVITY A N A LY S IS
..............................................................................................
103
6.3.1 RESULTS FOR THE VERIFIED SENSITIVITY ANALYSIS OF A BENCHMARK
EXAMPLE .... 104
6.3.2 USAGE OF SENSITIVITY ANALYSIS FOR THE ENHANCEMENT OF VERIFIED
SOLVERS FOR
ORDINARY DIFFERENTIAL E Q U A TIO N S
.............................................................................
104
6.4 COOPERATIVITY TEST OF DYNAMIC S Y S TE M S
..........................................................................
105
II APPLICATIONS OF SENSITIVITY-BASED TECHNIQUES AS WELL AS ROBUST
CONTROL AND ESTIMATOR SYNTHESIS 107
7 APPLICATIONS OF ROBUST STATE AND SENSITIVITY-FEEDBACK IN CONTROL AND
STATE
ESTIMATION 109
7.1 SENSITIVITY-FEEDBACK IN CONTROL AND STATE ESTIMATION FOR
ILLUSTRATING EXAMPLES . . . 109
7.1.1 ILLUSTRATING BENCHMARK A P P LIC A TIO N
.................................................................... 109
7.1.2 SIMPLE ROBOTIC M
ANIPULATOR.................................................................................
110
7.2 ROBUST FEEDBACK CONTROL AND STATE ESTIMATION OF A SPATIALLY
TWO-DIMENSIONAL HEAT
ING SYSTEM
...........................................................................................................................
114
7.2.1 CONTROL-ORIENTED MODELING OF THE TWO-DIMENSIONAL HEAT TRANSFER
PROCESS . 116
7.2.2 DESIGN OF ROBUST OBSERVER-BASED STATE FEEDBACK CONTROL L A W S
............
119
7.2.3 FEEDFORWARD CONTROL DESIGN AND VALIDATION IN SIMULATIONS AND
EXPERIMENTS 120
8 SENSITIVITY-BASED STATE AND PARAMETER ESTIMATION 125
8.1 SENSITIVITY-BASED STATE ESTIMATION FOR LITHIUM-ION BATTERY S Y S TE
M S
..........................
125
8.1.1 CONTROL-ORIENTED MODELING FOR LITHIUM-ION BATTERY S YSTEM S
................
125
8.1.2 EXTENDED KALMAN FILTER FOR BATTERY SYSTEMS
.................................................... 128
8.1.3 SENSITIVITY-BASED STATE AND PARAMETER ESTIMATION FOR BATTERY
SYSTEMS .... 130
8.2 SENSITIVITY-BASED ESTIMATION OF STATES AND PARAMETERS FOR
HIGH-TEMPERATURE SOLID
OXIDE FUEL CELLS
.................................................................................................................
133
8.2.1 CONTROL-ORIENTED MODELING OF THE THERMAL BEHAVIOR OF SOLID OXIDE
FUEL CELL
S YSTEM
S....................................................................................................................
133
8.2.2 SELECTED CONFIGURATIONS OF THE FINITE VOLUME MODEL FOR THE
TEMPERATURE IN
THE FUEL CELL S T A C K
.................................................................................................
135
8.2.3 SENSITIVITY-BASED PARAMETER AND STATE ESTIMATION FOR SOLID OXIDE
FUEL CELL
S YSTEM
S....................................................................................................................
137
9 SENSITIVITY-BASED CLOSED-LOOP PREDICTIVE CONTROL 141
9.1 SENSITIVITY-BASED PREDICTIVE CONTROL FOR A SPATIALLY ONE-DIMENSIONAL
DISTRIBUTED HEAT
ING SYSTEM
...........................................................................................................................
141
9.1.1 EXPERIMENTAL SETUP AND MATHEMATICAL M O D E LIN G
.............................................
141
9.1.2 FLOATING-POINT-BASED PREDICTIVE C ONTROL
.............................................................
149
9.1.3 STATE AND DISTURBANCE OBSERVER D E S I G N
.............................................................
150
9.1.4 EXPERIMENTAL VALIDATION OF THE PREDICTIVE CONTROL P RO C E D U RE
.......................... 152
9.2 SENSITIVITY-BASED CONTROL AND ESTIMATION FOR DIFFERENTIAL-ALGEBRAIC
SYSTEM MODELS:
TEMPERATURE CONTROL OF A CLIMATE C H A M B E
R....................................................................
153
9.2.1 CONTROL-ORIENTED MODELING OF A CLIMATE C H A M B E R
....................................
154
9.2.2 SENSITIVITY-BASED PREDICTIVE C O N TRO
L....................................................................
155
9.3 INTERVAL-BASED PREDICTIVE CONTROL FOR A HIGH-TEMPERATURE FUEL CELL S
Y S TE M
.............
157
10 SENSITIVITY-BASED LEARNING-TYPE FEEDFORWARD AND FEEDBACK CONTROL 163
10.1 SENSITIVITY-BASED LEARNING CONTROL OF A DISTRIBUTED HEATING S Y S
TE M
..........................
163
10.1.1 FINITE-DIMENSIONAL MODELING BY MEANS OF THE CRANK-NICOLSON METHOD
. . . 163
10.1.2 CONTROL-ORIENTED SYSTEM REPRESENTATION
..........................................................
165
10.1.3 SENSITIVITY-BASED LEARNING CONTROL WITH AN EQUIDISTANT TIME
DISCRETIZATION
M E S H
........................................................................................................................
167
10.1.4 SIMULATION RESULTS OF THE SENSITIVITY-BASED LEARNING-TYPE CONTROL
STRATEGY . 167
10.1.5 EXPERIMENTAL RESULTS OF THE SENSITIVITY-BASED LEARNING-TYPE
CONTROL STRATEGY 168
10.2 SENSITIVITY-BASED FEEDFORWARD CONTROL STRATEGIES FOR A SPATIALLY
TWO-DIMENSIONAL
HEAT TRANSFER P RO C E
SS...............................................................................................................169
10.2.1 FINITE ELEMENT DISCRETIZATION USING THE METHOD OF
INTEGRODIFFERENTIAL RELA
TIONS (MIDR)
...........................................................................................................
169
10.2.2 EIGENVALUE ANALYSIS OF THE FINITE VOLUME AND FINITE ELEMENT
MODELS
.... 175
10.2.3 COMPARISON OF EXPLICIT AND IMPLICIT TIME DISCRETIZATION S C H E M
E S
.............
175
10.2.4 CONTROL D E S IG N
..................................................................................................
176
10.2.5 PIECEWISE CONSTANT FEEDFORWARD C O N T R O L
..................................................... 177
10.2.6 COMPUTATIONAL EFFORT AND SIMULATION R E S U LTS
..............................................
179
10.3 SENSITIVITY-BASED FEEDFORWARD CONTROL STRATEGIES FOR A FLEXIBLE
HIGH-SPEED RACK
FEEDER SYSTEM
................................................................................................................
180
10.3.1 CONTROL-ORIENTED MODELING OF THE RACK FEEDER S Y STE M
..............................
180
10.3.2 SENSITIVITY-BASED LEARNING CONTROL WITH AUTOMATIC REFINEMENT OF
TIME DIS
CRETIZATION M E S H E S
............................................................................................
185
10.3.3 COMPUTATIONAL EFFORT AND SIMULATION R E S U LTS
..............................................
186
11 INCREMENTAL GAIN SCHEDULING CONTROL 191
11.1 INCREMENTAL GAIN SCHEDULING CONTROL FOR AN INVERTED PENDULUM ON A C
A R T
................
191
11.1.1 MATHEMATICAL MODELING OF THE PENDULUM S Y S TE M
........................................
191
11.1.2 CONTROL S TRU C TU RE
...............................................................................................
192
11.1.3 SIMULATION R E S U LTS
............................................................................................
192
11.1.4 EXPERIMENTAL V A LID A TIO N
..................................................................................
194
11.2 INCREMENTAL GAIN SCHEDULING PROCEDURES FOR TRACKING CONTROL OF
SHIPS
...................
195
11.2.1 MATHEMATICAL MODELING OF SHIP M O T I O N S
..................................................... 195
11.2.2 INCREMENTAL GAIN SCHEDULING FOR SHIP MOTION C O N TR O L
..............................
196
11.2.3 SENSITIVITY-BASED FEEDFORWARD C O N T R O L
............................................................ 199
12 CONCLUSIONS AND OUTLOOK ON FUTURE RESEARCH 201
12.1 SUMMARY OF THE W
ORK..............................................................................................................
201
12.2 FUTURE W O RK
...............................................................................................................................203
BIBLIOGRAPHY 205
INDEX 219
|
any_adam_object | 1 |
author | Rauh, Andreas 1977- |
author_GND | (DE-588)1088767664 |
author_facet | Rauh, Andreas 1977- |
author_role | aut |
author_sort | Rauh, Andreas 1977- |
author_variant | a r ar |
building | Verbundindex |
bvnumber | BV044617904 |
classification_rvk | ZQ 5060 |
ctrlnum | (OCoLC)1015845602 (DE-599)DNB1138578312 |
dewey-full | 621.3 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 621 - Applied physics |
dewey-raw | 621.3 |
dewey-search | 621.3 |
dewey-sort | 3621.3 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Elektrotechnik / Elektronik / Nachrichtentechnik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
format | Thesis Book |
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genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
genre_facet | Hochschulschrift |
id | DE-604.BV044617904 |
illustrated | Illustrated |
indexdate | 2024-07-10T07:57:16Z |
institution | BVB |
institution_GND | (DE-588)1064118135 |
isbn | 9783844054989 3844054987 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030016234 |
oclc_num | 1015845602 |
open_access_boolean | |
owner | DE-83 DE-29T |
owner_facet | DE-83 DE-29T |
physical | XXXII, 223 Seiten Illustrationen, Diagramme 21 cm x 14.8 cm, 384 g |
publishDate | 2017 |
publishDateSearch | 2017 |
publishDateSort | 2017 |
publisher | Shaker Verlag |
record_format | marc |
series | Berichte aus dem Lehrstuhl für Mechatronik Universität Rostock |
series2 | Berichte aus dem Lehrstuhl für Mechatronik Universität Rostock |
spelling | Rauh, Andreas 1977- Verfasser (DE-588)1088767664 aut Sensitivity methods for analysis and design of dynamic systems with applications in control engineering feedforward control – feedback control – robust control – state estimation Andreas Rauh 201709 Aachen Shaker Verlag 2017 XXXII, 223 Seiten Illustrationen, Diagramme 21 cm x 14.8 cm, 384 g txt rdacontent n rdamedia nc rdacarrier Berichte aus dem Lehrstuhl für Mechatronik Universität Rostock Band 6 Habilitationsschrift Universität Rostock 2017 Regelungstechnik (DE-588)4076594-5 gnd rswk-swf Sensitivitätsanalyse (DE-588)4129730-1 gnd rswk-swf Dynamisches System (DE-588)4013396-5 gnd rswk-swf Feedback control Feedforward control Sensitivity analysis (DE-588)4113937-9 Hochschulschrift gnd-content Regelungstechnik (DE-588)4076594-5 s Sensitivitätsanalyse (DE-588)4129730-1 s Dynamisches System (DE-588)4013396-5 s DE-604 Shaker Verlag (DE-588)1064118135 pbl Berichte aus dem Lehrstuhl für Mechatronik Universität Rostock Band 6 (DE-604)BV044693615 6 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030016234&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Rauh, Andreas 1977- Sensitivity methods for analysis and design of dynamic systems with applications in control engineering feedforward control – feedback control – robust control – state estimation Berichte aus dem Lehrstuhl für Mechatronik Universität Rostock Regelungstechnik (DE-588)4076594-5 gnd Sensitivitätsanalyse (DE-588)4129730-1 gnd Dynamisches System (DE-588)4013396-5 gnd |
subject_GND | (DE-588)4076594-5 (DE-588)4129730-1 (DE-588)4013396-5 (DE-588)4113937-9 |
title | Sensitivity methods for analysis and design of dynamic systems with applications in control engineering feedforward control – feedback control – robust control – state estimation |
title_auth | Sensitivity methods for analysis and design of dynamic systems with applications in control engineering feedforward control – feedback control – robust control – state estimation |
title_exact_search | Sensitivity methods for analysis and design of dynamic systems with applications in control engineering feedforward control – feedback control – robust control – state estimation |
title_full | Sensitivity methods for analysis and design of dynamic systems with applications in control engineering feedforward control – feedback control – robust control – state estimation Andreas Rauh |
title_fullStr | Sensitivity methods for analysis and design of dynamic systems with applications in control engineering feedforward control – feedback control – robust control – state estimation Andreas Rauh |
title_full_unstemmed | Sensitivity methods for analysis and design of dynamic systems with applications in control engineering feedforward control – feedback control – robust control – state estimation Andreas Rauh |
title_short | Sensitivity methods for analysis and design of dynamic systems with applications in control engineering |
title_sort | sensitivity methods for analysis and design of dynamic systems with applications in control engineering feedforward control feedback control robust control state estimation |
title_sub | feedforward control – feedback control – robust control – state estimation |
topic | Regelungstechnik (DE-588)4076594-5 gnd Sensitivitätsanalyse (DE-588)4129730-1 gnd Dynamisches System (DE-588)4013396-5 gnd |
topic_facet | Regelungstechnik Sensitivitätsanalyse Dynamisches System Hochschulschrift |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030016234&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV044693615 |
work_keys_str_mv | AT rauhandreas sensitivitymethodsforanalysisanddesignofdynamicsystemswithapplicationsincontrolengineeringfeedforwardcontrolfeedbackcontrolrobustcontrolstateestimation AT shakerverlag sensitivitymethodsforanalysisanddesignofdynamicsystemswithapplicationsincontrolengineeringfeedforwardcontrolfeedbackcontrolrobustcontrolstateestimation |