2019
DOI: 10.1002/rnc.4757
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Radial pole path approach for fast response of affine constrained nonlinear systems with matched uncertainties

Abstract: Summary This article proposes a novel robust feedback linearization control scheme for affine uncertain nonlinear systems subject to matched uncertainties and constraints on the control input. In this method, instead of placing the linearized system poles at exact locations, radial paths in the open left‐hand plane are selected to freely move the poles so as to enhance as much as possible the speed of response while guaranteeing satisfaction of input signal constraints. The stability of our proposed method is … Show more

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Cited by 8 publications
(2 citation statements)
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References 50 publications
(87 reference statements)
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“…Based on the above results, we can see that the actuator-sensor fault compensation method is more effective than the sensor fault compensation method presented previously [33]. With the implementation of powerful control methods, the impact of the control input signal is very large when the input signal is very high, as shown in [44,45]. However, when the control speed is in the allowable limits (no more than 25 mm/s), a fault compensation based robust fault-tolerant control method can greatly reduce the effects of faults after each closed control loop.…”
mentioning
confidence: 81%
“…Based on the above results, we can see that the actuator-sensor fault compensation method is more effective than the sensor fault compensation method presented previously [33]. With the implementation of powerful control methods, the impact of the control input signal is very large when the input signal is very high, as shown in [44,45]. However, when the control speed is in the allowable limits (no more than 25 mm/s), a fault compensation based robust fault-tolerant control method can greatly reduce the effects of faults after each closed control loop.…”
mentioning
confidence: 81%
“…A comprehensive control scheme should consider both the robustness and the quality response of the considered systems (e.g., control effort minimization, settling time modification, and so forth). In this regard, several control approaches have been presented for making nonlinear systems robust against matched uncertainties 1‐7 and mismatched uncertainties, 8‐13 which are not in the range space of the input matrix. Due to their unique features, designing a controller that be able to optimally and robustly manage nonlinear systems subjected to mismatched uncertainties has been the desire of researchers.…”
Section: Introductionmentioning
confidence: 99%