On the sensitivity and relaxability of optimal control problems governed by nonlinear evolution equations with state constraints

1990 ◽  
Vol 109 (1) ◽  
pp. 1-23 ◽  
Author(s):  
Evgenios P. Avgerinos ◽  
Nikolaos S. Papageorgiou
Keyword(s):  
Optimal Control ◽  
State Constraints ◽  
Evolution Equations ◽  
Optimal Control Problems ◽  
Nonlinear Evolution ◽  
Nonlinear Evolution Equations ◽  
Control Problems

scholarly journals Optimality conditions for systems driven by nonlinear evolution equations

1995 ◽  
Vol 1 (1) ◽  
pp. 27-36
Author(s):  
N. Papageorgiou
Keyword(s):  
Nonlinear Evolution Equation ◽  
Evolution Equations ◽  
Optimal Control Problems ◽  
Nonlinear Evolution ◽  
Sufficient Conditions ◽  
Nonlinear Evolution Equations ◽  
Control Problems ◽  
Terminal Constraints ◽  
Sufficient Conditions For Optimality ◽  
Necessary And Sufficient

Using the Dubovitskii-Milyutin theory we derive necessary and sufficient conditions for optimality for a class of Lagrange optimal control problems monitored by a nonlinear evolution equation and involving initial and/or terminal constraints. An example of a parabolic control system is also included.

scholarly journals Nonlinearly constrained optimal control problems

1992 ◽  
Vol 33 (4) ◽  
pp. 517-530 ◽  
Author(s):  
K. L. Teo ◽  
K. H. Wong
Keyword(s):  
Optimal Control ◽  
General Class ◽  
State Constraints ◽  
Computational Algorithm ◽  
Optimal Control Problems ◽  
Control Problems ◽  
Constrained Optimal Control ◽  
Continuous State ◽  
Constraint Transcription ◽  
Inequality Type

AbstractIn a paper by Teo and Jennings, a constraint transcription is used together with the concept of control parametrisation to devise a computational algorithm for solving a class of optimal control problems involving terminal and continuous state constraints of inequality type. The aim of this paper is to extend the results to a more general class of constrained optimal control problems, where the problem is also subject to terminal equality state constraints. For illustration, a numerical example is included.

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