Adaptive process optimization using functional-link networks and evolutionary optimization

被引：28

作者：

Cass, R ^{[1
]}

Radl, B ^{[1
]}

机构：

[1] PEGASUS TECHNOL CORP,PAINESVILLE,OH

来源：

CONTROL ENGINEERING PRACTICE | 1996年 / 4卷 / 11期

关键词：

neural networks; functional-link network; evolutionary programming; combustion; process optimization; supervisory control; optimal control;

D O I：

10.1016/0967-0661(96)00173-6

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 reports on a process optimization software system which improves plant operating performance on-line and continuously. The system combines neural network modeling and multi-objective constrained nonlinear optimization capabilities, Application of the system to process modeling and optimization in general, and in the specific domain of coal fired furnaces, is addressed, and results of applying the system are reported.

引用

页码：1579 / 1584

页数：6

共 11 条

[1]

[Anonymous], 1992, STEAM ITS GENERATION

[2]

BAUER FW, 1992, P 1992 EPRI HEAT RAT

[3]

CAI R, 1995, P 1995 INT C NEUR IN

[4]

IGELNIK B, 1993, IJCNN 93

[5] LEARNING AND GENERALIZATION CHARACTERISTICS OF THE RANDOM VECTOR FUNCTIONAL-LINK NET [J].

PAO, YH ;

PARK, GH ;

SOBAJIC, DJ .

NEUROCOMPUTING, 1994, 6 (02) :163-180

[6]

PAO YH, 1995, FUZZY LOGIC NEURAL N

[7]

PAO YH, 1994, IEEE WORLD C COMP IN

[8]

RADL B, 1994, P 56 ANN AM POW C CH

[9]

RADL B, 1995, P ISA CAN TOR CAN

[10]

RADL B, 1994, P 1994 EPRI HEAT RAT

← 1 2 →