2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics 2015
DOI: 10.1109/saci.2015.7208175
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Inverted pendulum controlled through fuzzy logic

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Cited by 3 publications
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“…This is a challenging control problem because the system is highly unstable, nonlinear and underactuated. Different control agorithms are studied by many researchers, from classical PID controllers [2], [13] to advanced controllers such as fuzzy control [3], [14] neural networks [4], [15] and genetic algorithms [5], [16]. Recently, optimal control approach is one of the potential solutions for a given set of performance objectives [17], [21], with detail review in [6].…”
Section: Introductionmentioning
confidence: 99%
“…This is a challenging control problem because the system is highly unstable, nonlinear and underactuated. Different control agorithms are studied by many researchers, from classical PID controllers [2], [13] to advanced controllers such as fuzzy control [3], [14] neural networks [4], [15] and genetic algorithms [5], [16]. Recently, optimal control approach is one of the potential solutions for a given set of performance objectives [17], [21], with detail review in [6].…”
Section: Introductionmentioning
confidence: 99%