2010
DOI: 10.1007/s11771-010-0050-2
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A new semi-active suspension control strategy through mixed H 2/H ∞ robust technique

Abstract: A new semi-active suspension control strategy through mixed H 2 /H ∞ robust technique was developed due to its flexibility and robustness to model uncertainties. A full car model with seven degrees of freedom was established to demonstrate the effectiveness of the new control approach. Magneto-rheological (MR) dampers were designed, manufactured and characterized as available semi-active actuators in the developed semi-active suspension system. The four independent mixed H 2 /H ∞ controllers were devised in or… Show more

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Cited by 7 publications
(7 citation statements)
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“…After the data was standardized, the weight of each index was determined by using entropy method. In this study, the evaluation standards were divided into five levels which were poorer state, poor state, general state, good state and ideal state [5]. Then the fuzzy matrix was compounded based on the relation of membership between the evaluation parameters and rating.…”
Section: Methodsmentioning
confidence: 99%
“…After the data was standardized, the weight of each index was determined by using entropy method. In this study, the evaluation standards were divided into five levels which were poorer state, poor state, general state, good state and ideal state [5]. Then the fuzzy matrix was compounded based on the relation of membership between the evaluation parameters and rating.…”
Section: Methodsmentioning
confidence: 99%
“…The conversion of cinnamaldehyde and yield of benzaldehyde in the presence and absence of sodium bicarbonate in ethanol and propylene glycol were listed in Table 1. On the other side, the selectivity for benzaldehyde was raised to 82% in propylene glycol comparing to 68% in ethanol and 54% in water [15], which means the oxidation reaction demonstrated higher selectivity for benzaldehyde in propylene glycol.…”
Section: Applied Mechanics and Materials Vols 522-524mentioning
confidence: 95%
“…2. [8,9]. In order to achieve more accurate and precise diagnosis, it is crucial to learn Bayesian network structure.…”
Section: Fault Diagnosis Of Bayesian Network In Momentum Wheelmentioning
confidence: 99%