DocumentCode :
439057
Title :
Optimal sensor network design using the minimally backed-off operating point notion of profit
Author :
Peng, Jui-Kun ; Chmielewski, Donald J.
Author_Institution :
Dept. of Chem. & Environ. Eng., Illinois Inst. of Technol., Chicago, IL, USA
fYear :
2005
fDate :
June 8-10, 2005
Firstpage :
220
Lastpage :
224
Keywords :
closed loop systems; convex programming; integer programming; optimal control; predictive control; real-time systems; sensors; state estimation; tree searching; branch-and-bound procedure; closed-loop partial state information dynamic systems; economic information; minimally backed-off operating point; mixed integer convex program; model predictive control; optimal search; optimal sensor network design; optimal sensor selection; profit; real-time optimization; reverse-convex form; sensor array; sensor capital cost; Chemical technology; Control systems; Costs; Economic forecasting; Environmental economics; Hardware; Predictive control; Predictive models; Sensor arrays; Sensor systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2005. Proceedings of the 2005
ISSN :
0743-1619
Print_ISBN :
0-7803-9098-9
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2005.1469935
Filename :
1469935
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=439057
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