2001 European Control Conference (ECC) 2001
DOI: 10.23919/ecc.2001.7076497
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An optimal control methodology for braking in a corner with stability

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Cited by 6 publications
(1 citation statement)
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“…In [3] and [21], the authors propose different versions of the extended Kalman filter. A H ∞ filter is suggested in [16]; [15] proposes a neural network approach and [6] a recursive least squares method; [23] uses sliding modes techniques; [2] implements a high gain observer; [4], [5], [10], [11], [12], [13], [24], [25] exploit a Lyapunov function in order to synthesize asymptotic nonlinear observers of tire forces or vehicle velocities. Those approaches are only valid under very favorable conditions, such as small steering angles or slowly variable velocities.…”
Section: Based Estimation Methods Have Been Developed In Recent Yearsmentioning
confidence: 99%
“…In [3] and [21], the authors propose different versions of the extended Kalman filter. A H ∞ filter is suggested in [16]; [15] proposes a neural network approach and [6] a recursive least squares method; [23] uses sliding modes techniques; [2] implements a high gain observer; [4], [5], [10], [11], [12], [13], [24], [25] exploit a Lyapunov function in order to synthesize asymptotic nonlinear observers of tire forces or vehicle velocities. Those approaches are only valid under very favorable conditions, such as small steering angles or slowly variable velocities.…”
Section: Based Estimation Methods Have Been Developed In Recent Yearsmentioning
confidence: 99%