Autonomous intelligent cruise control using a novel multiple-controller framework incorporating fuzzy-logic-based switching and tuning

Neurocomputing

Volumn 71, Issue 13-15, 2008, Pages 2727-2741

  Abdullah, Rudwan ^a   Hussain, Amir ^a   Warwick, Kevin ^b   Zayed, Ali ^c  

^a UNIVERSITY OF STIRLING   (United Kingdom)

^b UNIVERSITY OF READING   (United Kingdom)

^c Seventh April University   (Libyan Arab Jamahiriya)

Author keywords

Autonomous cruise control; ETC system; Fuzzy switchingFuzzy tuning; Intelligent adaptive control; Neural networks; PID control; Zero pole placement control

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ADAPTIVE CRUISE CONTROL; CLOSED LOOP SYSTEMS; COMPUTER CIRCUITS; CONTROLLERS; FUZZY LOGIC; FUZZY NEURAL NETWORKS; NEURAL NETWORKS; POLES; POLES AND ZEROS; PROPORTIONAL CONTROL SYSTEMS; SUPERVISORY PERSONNEL; THREE TERM CONTROL SYSTEMS; TUNING; TWO TERM CONTROL SYSTEMS; VEHICLES;

AUTONOMOUS CRUISE CONTROL; ETC SYSTEM; FUZZY SWITCHINGFUZZY TUNING; INTELLIGENT ADAPTIVE CONTROL; ZERO-POLE PLACEMENT CONTROL;

CRUISE CONTROL;

ARTIFICIAL INTELLIGENCE; CONFERENCE PAPER; FUZZY LOGIC; MATHEMATICAL MODEL; MOTOR VEHICLE; NONLINEAR SYSTEM; PRIORITY JOURNAL; SIMULATION; VELOCITY;

EID: 56449101413     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2007.05.016     Document Type: Conference Paper

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