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A performance approach to fuzzy control design for nonlinear systems
Zong Mu Yeh
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Corresponding author for this work
Department of Mechatronic Engineering
Research output
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Contribution to journal
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Article
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peer-review
39
Citations (Scopus)
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INIS
control
100%
performance
100%
design
100%
fuzzy logic
100%
nonlinear systems
100%
interactions
33%
simulation
33%
errors
33%
algorithms
33%
nonlinear problems
33%
manipulators
33%
mode control
33%
pendulums
33%
coefficient of performance
33%
Engineering
Fuzzy Control
100%
Control Design
100%
Nonlinear System
100%
Simulation Result
50%
Sliding Mode Control
50%
Fuzzy Logic Controller
50%
Inverted Pendulum
50%
Pendulum System
50%
Systematic Methodology
50%
Link Manipulator
50%
Fuzzy Rules
50%
Computer Science
Nonlinear System
100%
Fuzzy Control
100%
Manipulator
50%
Sliding Mode Control
50%
Adaptive Algorithm
50%
Residual Error
50%
Nonlinear Interaction
50%
Fuzzy Mathematics
50%
Systematic Methodology
50%