|
|
|
|
LEADER |
00000nam a22000005i 4500 |
001 |
978-1-84996-453-1 |
003 |
DE-He213 |
005 |
20220116151249.0 |
007 |
cr nn 008mamaa |
008 |
110204s2011 xxk| s |||| 0|eng d |
020 |
|
|
|a 9781849964531
|9 978-1-84996-453-1
|
024 |
7 |
|
|a 10.1007/978-1-84996-453-1
|2 doi
|
050 |
|
4 |
|a TJ212-225
|
072 |
|
7 |
|a TJFM
|2 bicssc
|
072 |
|
7 |
|a GPFC
|2 bicssc
|
072 |
|
7 |
|a TEC004000
|2 bisacsh
|
072 |
|
7 |
|a TJFM
|2 thema
|
082 |
0 |
4 |
|a 629.8312
|2 23
|
082 |
0 |
4 |
|a 003
|2 23
|
100 |
1 |
|
|a Stefanovic, Margareta.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
245 |
1 |
0 |
|a Safe Adaptive Control
|h [electronic resource] :
|b Data-driven Stability Analysis and Robust Synthesis /
|c by Margareta Stefanovic, Michael G. Safonov.
|
250 |
|
|
|a 1st ed. 2011.
|
264 |
|
1 |
|a London :
|b Springer London :
|b Imprint: Springer,
|c 2011.
|
300 |
|
|
|a XII, 148 p. 89 illus., 21 illus. in color.
|b online resource.
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a text file
|b PDF
|2 rda
|
490 |
1 |
|
|a Lecture Notes in Control and Information Sciences,
|x 1610-7411 ;
|v 405
|
505 |
0 |
|
|a Introduction -- Definitions and Preliminary Facts -- Stability Results -- Generalization to the Time-varying Case -- Switched Adaptive Controller: Robust Synthesis -- Comparison with Other Switching Adaptive Schemes -- Conclusion.
|
520 |
|
|
|a Safe Adaptive Control gives a formal and complete algorithm for assuring the stability of a switched control system when at least one of the available candidate controllers is stabilizing. The possibility of having an unstable switched system even in the presence of a stabilizing candidate controller is demonstrated by referring to several well-known adaptive control approaches, where the system goes unstable when a large mismatch between the unknown plant and the available models exists ("plant-model mismatch instability"). Sufficient conditions for this possibility to be avoided are formulated, and a "recipe" to be followed by the control system designer to guarantee stability and desired performance is provided. The problem is placed in a standard optimization setting. Unlike the finite controller sets considered elsewhere, the candidate controller set is allowed to be continuously parametrized so that it can deal with plants with a very large range of uncertainties.
|
650 |
|
0 |
|a Control engineering.
|
650 |
|
0 |
|a System theory.
|
650 |
|
0 |
|a Control theory.
|
650 |
|
0 |
|a Mathematical optimization.
|
650 |
|
0 |
|a Artificial intelligence.
|
650 |
1 |
4 |
|a Control and Systems Theory.
|
650 |
2 |
4 |
|a Systems Theory, Control .
|
650 |
2 |
4 |
|a Optimization.
|
650 |
2 |
4 |
|a Artificial Intelligence.
|
700 |
1 |
|
|a Safonov, Michael G.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer Nature eBook
|
776 |
0 |
8 |
|i Printed edition:
|z 9781849964524
|
776 |
0 |
8 |
|i Printed edition:
|z 9781849964548
|
830 |
|
0 |
|a Lecture Notes in Control and Information Sciences,
|x 1610-7411 ;
|v 405
|
856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/978-1-84996-453-1
|z Texto Completo
|
912 |
|
|
|a ZDB-2-ENG
|
912 |
|
|
|a ZDB-2-SXE
|
912 |
|
|
|a ZDB-2-LNI
|
950 |
|
|
|a Engineering (SpringerNature-11647)
|
950 |
|
|
|a Engineering (R0) (SpringerNature-43712)
|