| dc.contributor.author |
Paraskevopoulos, P |
en |
| dc.contributor.author |
Tsirikos, A |
en |
| dc.contributor.author |
Arvanitis, K |
en |
| dc.date.accessioned |
2014-06-06T06:42:03Z |
|
| dc.date.available |
2014-06-06T06:42:03Z |
|
| dc.date.issued |
1991 |
en |
| dc.identifier.uri |
http://dx.doi.org/10.1007/BF00939923 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/400 |
|
| dc.subject |
Approximation Error |
en |
| dc.subject |
Linear System |
en |
| dc.subject |
Optimal Control |
en |
| dc.subject |
Optimal Control Problem |
en |
| dc.subject |
State Space |
en |
| dc.subject |
Taylor Series |
en |
| dc.subject |
Time Varying |
en |
| dc.title |
New Taylor series approach to state-space analysis and optimal control of linear systems |
en |
| heal.type |
journalArticle |
en |
| heal.identifier.primary |
10.1007/BF00939923 |
en |
| heal.publicationDate |
1991 |
en |
| heal.abstract |
A new Taylor series approach is presented which reduces the problem of determining the state vector coefficient matrixX for time-invariant systems to an expression involving multiplications of matrices of small dimensions. This approach is numerically superior to known techniques and is extended to cover the time-varying case, wherein analogous expressions are derived. Furthermore, the optimal control problem is solved using |
en |
| heal.journalName |
Journal of Optimization Theory and Applications |
en |
| dc.identifier.doi |
10.1007/BF00939923 |
en |