Second-Order Necessary Optimality Conditions in Optimal Impulsive Control Problems

2018 ◽  
Vol 54 (8) ◽  
pp. 1083-1101 ◽  
Author(s):  
A. V. Arutyunov ◽  
D. Yu. Karamzin ◽  
F. L. Pereira ◽  
N. Yu. Chernikova
2020 ◽  
pp. 152-158
Author(s):  
Stepan Sorokin ◽  
Maxim Staritsyn

We propose and compare three numeric algorithms for optimal control of state-linear impulsive systems. The algorithms rely on the standard transformation of impulsive control problems through the discontinuous time rescaling, and the so-called “feedback”, direct and dual, maximum principles. The feedback maximum principles are variational necessary optimality conditions operating with feedback controls, which are designed through the usual constructions of the Pontryagin’s Maximum Principle (PMP); though these optimality conditions are formulated completely in the formalism of PMP, they essentially strengthen it. All the algorithms are non-local in the sense that they are aimed at improving non-optimal extrema of PMP (local minima), and, therefore, show the potential of global optimization.


2004 ◽  
Vol 37 (17) ◽  
pp. 2-12
Author(s):  
A. Arutyunov ◽  
V. Dykhta ◽  
D. Karamzin ◽  
F. Pereira

2006 ◽  
Vol 16 (2) ◽  
pp. 153-160 ◽  
Author(s):  
Boban Marinkovic

Discrete optimal control problems with varying endpoints are considered. First and second order necessary optimality conditions are obtained without normality assumptions.


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