2012
DOI: 10.1016/j.automatica.2011.11.012
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Global stabilization of a chain of integrators with input saturation and disturbances: A new approach

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Cited by 58 publications
(57 citation statements)
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“…, x n are bounded over [0,T ], which completes the proof. Remark 3.4: It should be noted that the similar problem is also studied in Gayaka et al (2012), where the bounded control for a chain of integrators with disturbance is considered based upon Teel's theory (Teel, 1992). However, it can be verified that when d(t) = 0, the results in Gayaka et al (2012) are similar to that in this paper.…”
Section: Theorem 32supporting
confidence: 64%
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“…, x n are bounded over [0,T ], which completes the proof. Remark 3.4: It should be noted that the similar problem is also studied in Gayaka et al (2012), where the bounded control for a chain of integrators with disturbance is considered based upon Teel's theory (Teel, 1992). However, it can be verified that when d(t) = 0, the results in Gayaka et al (2012) are similar to that in this paper.…”
Section: Theorem 32supporting
confidence: 64%
“…Remark 3.4: It should be noted that the similar problem is also studied in Gayaka et al (2012), where the bounded control for a chain of integrators with disturbance is considered based upon Teel's theory (Teel, 1992). However, it can be verified that when d(t) = 0, the results in Gayaka et al (2012) are similar to that in this paper. The main difference between Gayaka et al (2012) and this paper lies in that the disturbance rejection is achieved by tuning parameters in Gayaka et al (2012), while the disturbance rejection in this paper is determined by a DOB and feedforward compensation.…”
Section: Theorem 32supporting
confidence: 64%
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“…First, it has the difficulty in handling modeling uncertainties and disturbances, which are inherent to any physical control system. 8 Second, it requires large computational amounts. Recently, the modified backstepping approach has attracted great attention 9,10 Modified backstepping approaches provide us a systematic control design scheme for the constrained systems.…”
Section: Introductionmentioning
confidence: 99%