LONG TIME VERSUS STEADY STATE OPTIMAL CONTROL

被引:84
|
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.
引用
收藏
页码:4242 / 4273
页数:32
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