# A modified filter SQP method as a tool for optimal control of nonlinear systems with spatio-temporal dynamics

Ewaryst Rafajłowicz; Krystyn Styczeń; Wojciech Rafajłowicz

International Journal of Applied Mathematics and Computer Science (2012)

- Volume: 22, Issue: 2, page 313-326
- ISSN: 1641-876X

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topEwaryst Rafajłowicz, Krystyn Styczeń, and Wojciech Rafajłowicz. "A modified filter SQP method as a tool for optimal control of nonlinear systems with spatio-temporal dynamics." International Journal of Applied Mathematics and Computer Science 22.2 (2012): 313-326. <http://eudml.org/doc/208110>.

@article{EwarystRafajłowicz2012,

abstract = {Our aim is to adapt Fletcher's filter approach to solve optimal control problems for systems described by nonlinear Partial Differential Equations (PDEs) with state constraints. To this end, we propose a number of modifications of the filter approach, which are well suited for our purposes. Then, we discuss possible ways of cooperation between the filter method and a PDE solver, and one of them is selected and tested.},

author = {Ewaryst Rafajłowicz, Krystyn Styczeń, Wojciech Rafajłowicz},

journal = {International Journal of Applied Mathematics and Computer Science},

keywords = {filter approach; nonlinear programming; optimal control; partial differential equations; sequential quadratic programming},

language = {eng},

number = {2},

pages = {313-326},

title = {A modified filter SQP method as a tool for optimal control of nonlinear systems with spatio-temporal dynamics},

url = {http://eudml.org/doc/208110},

volume = {22},

year = {2012},

}

TY - JOUR

AU - Ewaryst Rafajłowicz

AU - Krystyn Styczeń

AU - Wojciech Rafajłowicz

TI - A modified filter SQP method as a tool for optimal control of nonlinear systems with spatio-temporal dynamics

JO - International Journal of Applied Mathematics and Computer Science

PY - 2012

VL - 22

IS - 2

SP - 313

EP - 326

AB - Our aim is to adapt Fletcher's filter approach to solve optimal control problems for systems described by nonlinear Partial Differential Equations (PDEs) with state constraints. To this end, we propose a number of modifications of the filter approach, which are well suited for our purposes. Then, we discuss possible ways of cooperation between the filter method and a PDE solver, and one of them is selected and tested.

LA - eng

KW - filter approach; nonlinear programming; optimal control; partial differential equations; sequential quadratic programming

UR - http://eudml.org/doc/208110

ER -

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