Multicriterion optimization of dynamic control systems

Cybernetics ◽  
1981 ◽  
Vol 16 (4) ◽  
pp. 520-535
Author(s):  
A. N. Voronin
2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Mourad Kerboua ◽  
Amar Debbouche ◽  
Dumitru Baleanu

We study a class of fractional stochastic dynamic control systems of Sobolev type in Hilbert spaces. We use fixed point technique, fractional calculus, stochastic analysis, and methods adopted directly from deterministic control problems for the main results. A new set of sufficient conditions for approximate controllability is formulated and proved. An example is also given to provide the obtained theory.


1996 ◽  
Vol 82 (3) ◽  
pp. 3409-3411
Author(s):  
F. D. Pryashnikov ◽  
A. I. Grushun ◽  
T. A. Grushun

1963 ◽  
Vol 2 (2) ◽  
pp. 81-89 ◽  
Author(s):  
C. A. Jones ◽  
E. F. Johnson ◽  
Leon Lapidus ◽  
R. H. Wilhelm

2018 ◽  
Author(s):  
Nina Nikolaevna Subbotina ◽  
Evgeniy Aleksandrovitch Krupennikov

2011 ◽  
Vol 2011.20 (0) ◽  
pp. 179-180
Author(s):  
Yasutake HARAMIISHI ◽  
Hiroshi MOURI ◽  
Yoichi SAKAI

2013 ◽  
Vol 2013 ◽  
pp. 1-4 ◽  
Author(s):  
Teresa Grilo ◽  
Fernando Lobo Pereira ◽  
Sílvio Gama

We present the problem of minimum time control of a particle advected in Couette and Poiseuille flows and solve it by using the Pontryagin maximum principle. This study is a first step of an effort aiming at the development of a mathematical framework for the control and optimization of dynamic control systems whose state variable is driven by interacting ODEs and PDEs which can be applied in the control of underwater gliders and mechanical fishes.


SIMULATION ◽  
1992 ◽  
Vol 59 (4) ◽  
pp. 246-252 ◽  
Author(s):  
Ka C. Cheok ◽  
Ningjian Huang

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