Genetic fuzzy tracking controllers for autonomous ground vehicles

被引：0

作者：

Leo, YG ^{[1
]}

Zak, SH ^{[1
]}

机构：

[1] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA

来源：

PROCEEDINGS OF THE 2002 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 2002年 / 1-6卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Genetic algorithm (GA) based fuzzy logic controller (FLC) design methods are presented for the step-lane-change maneuver of an autonomous ground vehicle. Fuzzy logic allows us to incorporate expert knowledge in the controller design. However, the fine-tuning process of a fuzzy logic controller may be very tedious and time consuming. If the information, regarding the controller operation, derived from the expert knowledge is incomplete, then an appropriately designed genetic algorithm is employed to complete the rule base specifying the desired functioning of the controller.

引用

页码：2144 / 2149

页数：6

共 10 条

[1] Evolving fuzzy rule based controllers using genetic algorithms [J].

Carse, B ;

Fogarty, TC ;

Munro, A .

FUZZY SETS AND SYSTEMS, 1996, 80 (03) :273-293

[2]

CHAING C, 1997, IEEE T FUZZY SYST, V5, P460

[3] SIMULTANEOUS DESIGN OF MEMBERSHIP FUNCTIONS AND RULE SETS FOR FUZZY CONTROLLERS USING GENETIC ALGORITHMS [J].

HOMAIFAR, A ;

MCCORMICK, E .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1995, 3 (02) :129-139

[4] SELECTING FUZZY IF-THEN RULES FOR CLASSIFICATION PROBLEMS USING GENETIC ALGORITHMS [J].

ISHIBUCHI, H ;

NOZAKI, K ;

YAMAMOTO, N ;

TANAKA, H .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1995, 3 (03) :260-270

[5] Evolutionary design of fuzzy rule base for nonlinear system modeling and control [J].

Kang, SJ ;

Woo, CH ;

Hwang, HS ;

Woo, KB .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2000, 8 (01) :37-45

[6]

Karr C. L., 1993, IEEE Transactions on Fuzzy Systems, V1, P46, DOI 10.1109/TFUZZ.1993.390283

[7] Fuzzy system parameters discovery by bacterial evolutionary algorithm [J].

Nawa, NE ;

Furuhashi, T .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1999, 7 (05) :608-616

[8]

WANG W, 1998, IEEE T EVOLUTIONARY, V2, P138

[9] Modelling and control of an automated vehicle [J].

Will, AB ;

Zak, SH .

VEHICLE SYSTEM DYNAMICS, 1997, 27 (03) :131-155

[10] A systematic method for design of multivariable fuzzy logic control systems [J].

Yeh, ZM .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1999, 7 (06) :741-752

← 1 →