Update search
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
NARROW
Format
Journal
Type
Date
Availability
1-3 of 3
Keywords: Linearization
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
COMPEL (2014) 33 (5): 1819–1830.
Published: 26 August 2014
...Andrzej Zawadzki Purpose – The purpose of this paper is to aim to an application of element of the theory of differential geometry for building the state space transformation, linearizing nonlinear dynamic system into a linear form. Design/methodology/approach – It is assumed...
Journal Articles
COMPEL (2013) 33 (1-2): 581–593.
Published: 20 December 2013
... M to the diagonal elements corresponding to each PV node and to the slack one as shown in Figure 2(a) . The solution of the linearized set of equations of the FDLF B″ΔV=R/V would give a near zero ΔV i value for each PV (or slack) type bus. © Emerald Group...
Journal Articles
COMPEL (2001) 20 (3): 813–827.
Published: 01 September 2001
... defines the design space by 12 variables which have the largest influence on the goal function. The design space is constrained by a number of linear and nonlinear constraints. The optimization process is based on successive linearizations of the goal function and the nonlinear constraints followed...
