Switching properties of linear time optimal control problems with bounded state constraints

1981 ◽  
Vol 34 (1) ◽  
pp. 111-125 ◽  
Author(s):  
W.D. COLLINS
2019 ◽  
Vol 25 ◽  
pp. 1 ◽  
Author(s):  
Lucas Bonifacius ◽  
Konstantin Pieper

Sufficient conditions for strong stability of a class of linear time-optimal control problems with general convex terminal set are derived. Strong stability in turn guarantees qualified optimality conditions. The theory is based on a characterization of weak invariance of the target set under the controlled equation. An appropriate strengthening of the resulting Hamiltonian condition ensures strong stability and yieldsa prioribounds on the size of multipliers, independent of,e.g., the initial point or the running cost. In particular, the results are applied to the control of the heat equation into anL2-ball around a desired state.


2014 ◽  
Vol 24 (02) ◽  
pp. 1440002
Author(s):  
Tibor Kmet

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.


Automatica ◽  
2017 ◽  
Vol 81 ◽  
pp. 297-304 ◽  
Author(s):  
Timm Faulwasser ◽  
Milan Korda ◽  
Colin N. Jones ◽  
Dominique Bonvin

Sign in / Sign up

Export Citation Format

Share Document