Comparison of average reward values in various simulation scenarios.

Comparison of average reward values in various simulation scenarios.

<p>Comparison of average reward values in various simulation scenarios.</p>

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Bibliographic Details
Main Author: Honglei Pang (22693724) (author)
Other Authors: He Huang (50693) (author), Yangping Fan (22693727) (author), Lei Yao (75933) (author), Yong Chen (109188) (author)
Published: 2025
Subjects:
Biotechnology
Biological Sciences not elsewhere classified
split -&# 956
sliding mode control
road surface parameters
proximal policy optimization
output tracking analysis
objective reward function
model predictive control
intelligent integrated longitudinal
decreases lateral deviation
critical sideslip angle
25 &# 8211
15 &# 8211
vehicle dynamics model
incorporate vehicle states
continuous state space
maintaining vehicle stability
algorithm &# 8217
emergency braking scenarios
vehicle stability
emergency braking
action space
electromechanical braking
validation confirms
uniform adhesion
smc ),
simulation platform
results show
python co
pivotal challenge
paper proposes
involves designing
fidelity models
extreme conditions
dynamic characteristics
dynamic accuracy
conducted via
adhesion surfaces
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Summary:<p>Comparison of average reward values in various simulation scenarios.</p>

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