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LONG TIME VERSUS STEADY STATE OPTIMAL CONTROL
被引:85
|作者:
Porretta, Alessio
[1
]
Zuazua, Enrique
[2
,3
]
机构:
[1] Univ Roma Tor Vergata, Dipartimento Matemat, I-00133 Rome, Italy
[2] BCAM, E-48009 Bilbao, Spain
[3] Basque Fdn Sci, Ikerbasque, Bilbao 48011, Spain
关键词:
optimal control problems;
long time behavior;
controllability;
observability;
MEAN-FIELD GAMES;
DIMENSIONAL CONTROL-PROBLEMS;
CONTROLLABILITY;
EXISTENCE;
EQUATIONS;
AVERAGE;
SYSTEM;
D O I:
10.1137/130907239
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
This paper analyzes the convergence of optimal control problems for an evolution equation in a finite time-horizon [0, T] toward the limit steady state ones as T -> infinity. We focus on linear problems. We first consider linear time-independent finite-dimensional systems and show that the optimal controls and states exponentially converge in the transient time (as T tends to infinity) to the ones of the corresponding steady state model. For this to occur suitable observability assumptions need to be imposed. We then extend the results to infinite-dimensional systems including the linear heat and wave equations with distributed controls.
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页码:4242 / 4273
页数:32
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