2015
DOI: 10.1016/j.laa.2015.08.022
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Matrix form of the inverse Young inequalities

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Cited by 4 publications
(4 citation statements)
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“…e observer of [25] only estimates the sensor fault, not the actuator fault and disturbance; the observer of [30] can only estimate unmeasured states, the essence of its method is passive compensation. e ESO in this study has been greatly improved, which can simultaneously estimate disturbance, states, sensor fault, and actuator fault, and has more functions.…”
Section: Attitude Angle Sensormentioning
confidence: 99%
“…e observer of [25] only estimates the sensor fault, not the actuator fault and disturbance; the observer of [30] can only estimate unmeasured states, the essence of its method is passive compensation. e ESO in this study has been greatly improved, which can simultaneously estimate disturbance, states, sensor fault, and actuator fault, and has more functions.…”
Section: Attitude Angle Sensormentioning
confidence: 99%
“…A matrix version of this inverse inequality was attempted by Manjegani and Norouzi [6], but their paper is flawed. Their main result ([6, Theorem 2.4]) is that (2.1) below holds for A and B positive definite n × n matrices and all ν > 1.…”
mentioning
confidence: 99%
“…Their main result ([6, Theorem 2.4]) is that (2.1) below holds for A and B positive definite n × n matrices and all ν > 1. In fact, this is false for ν = 2 (see the addendum), and the 'proof' given in [6] is invalid in the entire range 1 < ν < ∞. Already, equation (10) in Manjegani and Norouzi [6] is incorrect.…”
mentioning
confidence: 99%
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