On a Fully Adaptive SQP Method for PDAE-Constrained Optimal Control Problems with Control and State Constraints

2014 ◽  
pp. 85-108
Author(s):  
Stefanie Bott ◽  
Debora Clever ◽  
Jens Lang ◽  
Stefan Ulbrich ◽  
Jan Carsten Ziems ◽  
...  
Keyword(s):  
Optimal Control ◽  
State Constraints ◽  
Optimal Control Problems ◽  
Control Problems ◽  
Sqp Method ◽  
Constrained Optimal Control ◽  
Fully Adaptive ◽  
Control And State Constraints

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.

Neural Networks Solving Free and Fixed Final Time Optimal Control Problems

2014 ◽  
Vol 24 (02) ◽  
pp. 1440002
Author(s):  
Tibor Kmet
Keyword(s):  
Neural Network ◽  
Optimal Control ◽  
State Constraints ◽  
Optimal Control Problems ◽  
Time Optimal Control ◽  
Control Problems ◽  
Final Time ◽  
Adaptive Critic ◽  
Time Optimal ◽  
Control And State Constraints

In this paper, the neural network based optimal control synthesis is presented for solving free and fixed final time optimal control problems with the control and state constraints. The optimal control problem is transcribed into a nonlinear programming problem, which is implemented with the adaptive critic neural network. The proposed simulation methods are illustrated by the optimal control problem of photosynthetic production and the nitrogen transformation cycle model. The results show that the adaptive critic based systematic approach is promising in obtaining free and fixed final time optimal control with the control and state constraints.

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