A robust safety-oriented autonomous cruise control scheme for electric vehicles based on model predictive control and online sequential extreme learning machine with a hyper-level fault tolerance-based supervisor

Neurocomputing

Volumn 151, Issue P2, 2015, Pages 845-856

  Mozaffari, Ahmad ^a   Vajedi, Mahyar ^a   Azad, Nasser L ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Autonomous cruise control; Electric vehicles; Hyper level fault tolerance based supervisor; Model predictive control; Online sequential extreme learning machine

Indexed keywords

CONTROLLERS; CRUISE CONTROL; E-LEARNING; ELECTRIC MACHINE THEORY; ELECTRIC VEHICLES; ENERGY UTILIZATION; FAULT TOLERANCE; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; MODEL PREDICTIVE CONTROL; PREDICTIVE CONTROL SYSTEMS; RECURRENT NEURAL NETWORKS; SUPERVISORY PERSONNEL;

AUTONOMOUS CRUISE CONTROL; COMPUTATIONAL ADVANTAGES; DEGREE OF ROBUSTNESS; DIAGONAL RECURRENT NEURAL NETWORKS; MACHINE LEARNING APPROACHES; NEGATIVE CORRELATION LEARNING; ONLINE SEQUENTIAL EXTREME LEARNING MACHINE; STRUCTURAL FLEXIBILITIES;

ELECTRIC MACHINE CONTROL;

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; AUTONOMOUS CRUISE CONTROL; CAR DRIVING; CONTROLLED STUDY; ELECTRIC VEHICLE; ENERGY CONSUMPTION; FILTER; INTERMETHOD COMPARISON; LINEAR SYSTEM; MACHINE LEARNING; MATHEMATICAL MODEL; MODEL PREDICTIVE CONTROL; MOTOR VEHICLE; ONLINE SEQUENTIAL EXTREME LEARNING MACHINE WITH A HYPER LEVEL FAULT TOLERANCE BASED SUPERVISOR; PERFORMANCE; RELIABILITY; SAFETY; SELECTIVE NEGATIVE CORRELATION LEARNING;

EID: 84919662494     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.10.011     Document Type: Article

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