Adaptive fuzzy relational predictive control

被引：9

作者：

Wong, CH ^{[1
]}

Shah, SL ^{[1
]}

Bourke, MM ^{[1
]}

Fisher, DG ^{[1
]}

机构：

[1] Univ Alberta, Dept Chem & Mat Engn, Edmonton, AB T6G 2G6, Canada

来源：

FUZZY SETS AND SYSTEMS | 2000年 / 115卷 / 02期

关键词：

process control; fuzzy identification; fuzzy control; adaptive control; long-range prediction; fuzzy relational structures;

D O I：

10.1016/S0165-0114(98)00295-4

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The performance of Two fuzzy relational controllers namely the self-learning predictive fuzzy controller (SLPFC) (Bourke and Fisher, Proc. 5th Int. Conf. on Fuzzy Systems, New Orleans, 1996, pp. 464-1470) and the fuzzy relational long range predictive controller (FRLRPC) (Postlethwaite, IEE Proc. D 138(3) (1991) 199-206) are evaluated experimentally on a laboratory scale, non-linear, interacting tank process. Both fuzzy controllers gave good closed-loop control performance but the SLPFC gave slightly better results. It was also found that the choice of the on-line fuzzy relational identification scheme has a large impact on control performance. (C) 2000 Published by Elsevier Science B.V. All rights reserved.

引用

页码：247 / 260

页数：14

共 50 条

[41] Research on Vehicle Adaptive Cruise Control Method Based on Fuzzy Model Predictive Control
Mao, Jin
Yang, Lei
Hu, Yuanbo
Liu, Kai
Du, Jinfu
MACHINES, 2021, 9 (08)
[42] About simple fuzzy control and fuzzy control based on fuzzy relational equations
Pavlica, V
Petrovacki, D
FUZZY SETS AND SYSTEMS, 1999, 101 (01) : 41 - 47
[43] Fuzzy Relational Control of an Uncertain System
Kadri, Muhammad Bilal
Dexter, Arthur
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2014, 22 (02) : 243 - 261
[44] Comparison of Fuzzy Logic Control and Model Predictive Control for a Smart Adaptive Cruise Control Vehicle System
Shaout, Adnan K.
Ahmad, Syed Adil
Osborn, Dan
JORDAN JOURNAL OF ELECTRICAL ENGINEERING, 2024, 10 (01): : 27 - 47
[45] PREDICTIVE ADAPTIVE CONTROL
POWELL, FD
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1969, AC14 (05) : 550 - &
[46] Multivariable adaptive fuzzy predictive control based on T-S model
Liu F.-C.
Ren L.-N.
Lu P.-L.
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2010, 32 (12): : 2660 - 2663
[47] Robustness Analysis of Indirect Adaptive Model Predictive Control Supervised by Fuzzy Logic
Mamboundou, Jerry
Langlois, Nicolas
2012 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), 2012, : 284 - 291
[48] Adaptive fuzzy predictive functional control based on T-S model
National Key Laboratory of Industrial Control Technology, Institute of Advanced Process Control, Zhejiang University, Hangzhou 310027, China
Zhejiang Daxue Xuebao (Gongxue Ban), 2007, 3 (390-395):
[49] Adaptive fuzzy model based predictive control of an exothermic batch chemical reactor
Venkateswarlu, C
Naidu, KVS
CHEMICAL ENGINEERING COMMUNICATIONS, 2001, 186 : 1 - 23
[50] Adaptive Fuzzy Generalized Predictive Control of pH in Tubular Photobioreactors on Microalgae Plant
Amaro, Mafalda
Mendes, Jerome
Matias, Tiago
Araujo, Rui
2023 IEEE 2ND INDUSTRIAL ELECTRONICS SOCIETY ANNUAL ON-LINE CONFERENCE, ONCON, 2023,

← 1 2 3 4 5 →