2010
DOI: 10.1080/00423110903509327
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Output feedback H /GH 2 preview control of active vehicle suspensions: a comparison study of LQG preview

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Cited by 67 publications
(38 citation statements)
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“…For a semi-active vehicle suspension, H 1 control of the vehicle suspension with a magneto-rheological (MR) damper was used to significantly attenuate the lateral, yaw, and roll accelerations of the car body [8][9][10]. For an active vehicle suspension, the H 1 controller was used to improve the vehicle suspension performance (including ride comfort, road holding, and suspension deflection) [11][12][13], and other research considered the problem of using robust H 1 control for a half-vehicle active suspension system with input delay [14][15][16]. The H 1 control method was also used to improve the driving safety and steering http performance for the steering model of a vehicle (including the steering flexibility, feeling of side slipping, and deviation of the vehicle from the planned path) [17,18].…”
Section: Introductionmentioning
confidence: 99%
“…For a semi-active vehicle suspension, H 1 control of the vehicle suspension with a magneto-rheological (MR) damper was used to significantly attenuate the lateral, yaw, and roll accelerations of the car body [8][9][10]. For an active vehicle suspension, the H 1 controller was used to improve the vehicle suspension performance (including ride comfort, road holding, and suspension deflection) [11][12][13], and other research considered the problem of using robust H 1 control for a half-vehicle active suspension system with input delay [14][15][16]. The H 1 control method was also used to improve the driving safety and steering http performance for the steering model of a vehicle (including the steering flexibility, feeling of side slipping, and deviation of the vehicle from the planned path) [17,18].…”
Section: Introductionmentioning
confidence: 99%
“…An H ∞ control [17] was used for active suspension systems. A Linear Quadratic Gaussian (LQG) control was also considered in [18]. Although these optimal control or robust control schemes can address the control constraints, the system dynamics studied in aforementioned results are assumed to be linear.…”
Section: Introductionmentioning
confidence: 99%
“…Adaptive sliding-mode control for active suspensions using fuzzy approach is shown in [13]. In [14], a linear-quadratic-Gaussian (LQG) control is used to obtain a trade-off between the conflicting suspension requirements.…”
Section: Introductionmentioning
confidence: 99%