NDLI: A systematic design method for fuzzy logic control with application to automotive idle speed control

Content Provider	IEEE Xplore Digital Library
Author	Vachtsevanos, G. Farinwata, S.S. Kang, H.
Copyright Year	1992
Description	Author affiliation: Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA (Vachtsevanos, G.; Farinwata, S.S.; Kang, H.)
Abstract	A systematic design procedure for automatic rule generation for dynamic systems such as a nonlinear engine dynamic model is investigated. By 'automatic rule generation' the authors mean clustering or collection of such meaningful transitional relations from one conditional subspace to another. Elements that result from such transitions are anticipated according to the applied action of each rule. Data required for this transitional set of rules can be collected via (i) information such as experimental results, (ii) numerical simulation runs based on dynamic models, and (iii) heuristics. However, the main advantage of the automatic rule generation scheme is that reliability can be potentially increased even in the presence of large-grained uncertainty in the system investigated. Specifications-accuracy and precision-of the system tolerances can be arbitrarily adjusted and are a function of the resolution of the design parameters.<>
Starting Page	2547
Ending Page	4548
File Size	197006
Page Count	2002
File Format	PDF
ISBN	0780308727
DOI	10.1109/CDC.1992.371066
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-12-16
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Design methodology Fuzzy logic Control systems Automatic control Engines Numerical simulation Uncertainty
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A design method for vehicle dynamic systems based on fuzzy logic control

Robust automotive idle speed control design based on μ-synthesis

Design of fuzzy logic based engine idle-speed controllers

The optimized fuzzy logic in control systems

Idle speed control of a 4-cylinder automotive engine using hybrid system method

VLSI design and implementation of a fuzzy logic controller for engine idle speed

Fuzzy sliding mode control. Application to idle speed control

A systematic design method for fuzzy logic speed controller for brushless DC motor drives

Performance evaluation of a systematic fuzzy logic control system

A systematic design method for fuzzy logic control with application to automotive idle speed control

Similar Documents

A design method for vehicle dynamic systems based on fuzzy logic control

Robust automotive idle speed control design based on μ-synthesis

Design of fuzzy logic based engine idle-speed controllers

The optimized fuzzy logic in control systems

Idle speed control of a 4-cylinder automotive engine using hybrid system method

VLSI design and implementation of a fuzzy logic controller for engine idle speed

Fuzzy sliding mode control. Application to idle speed control

A systematic design method for fuzzy logic speed controller for brushless DC motor drives

Performance evaluation of a systematic fuzzy logic control system

A systematic design method for fuzzy logic control with application to automotive idle speed control