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Neural network model-based automotive engine air/fuel ratio control and robustness evaluation
Yu Jia Zhai, Ding Li Yu
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Corresponding author for this work
Liverpool John Moores University
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peer-review
74
Citations (Scopus)
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73
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Dive into the research topics of 'Neural network model-based automotive engine air/fuel ratio control and robustness evaluation'. Together they form a unique fingerprint.
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Engineering
Evaluation
100%
Air-Fuel Ratio
100%
Engines
100%
Network Model
100%
Automotive Engine
100%
Models
60%
Performance
40%
Algorithm
40%
Prediction
20%
Optimization
20%
Demonstrates
20%
Simulation Result
20%
Multivariable System
20%
Benchmark
20%
Predictive Control Model
20%
Control Strategy
20%
Tasks
20%
Mean Value
20%
Non-Linear Dynamic
20%
Integral Control
20%