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The braking effectiveness of antilock braking system (ABS) could be degraded for rough road conditions (e.g., icy/snowy roads). In this work, a neuro-adaptive control design method is proposed for improving the performance of ABS. A neuro-adaptive unit is constructed to compensate external disturbances and uncertain dynamics due to road condition variation. This method does not involve analytical...
This paper addresses the problem of attitude control of crew exploration vehicle (CEV). Unlike traditional spacecraft with surface deflections for attitude control, CEV uses RCS jet engines for attitude adjustment, which calls for control algorithms for firing the small propulsion engines mounted in the vehicle. In this work, by combining both actuation and attitude dynamics, we develop a strategy...
High precision landing of CEVs plays a vital role in ensuring safe and reliable mission on space exploration. This paper considers the problem of automatic landing control of CEV along a given path with specific landing orientations/attitudes. We formulate it as a 3D trajectory tracking problem and present a robust and adaptive landing control strategy. To account for modeling uncertainties and unpredictable...
This work is focused on controlling nonlinear systems with uncertain dynamics arisen from external disturbances, unmodeled nonlinearities, and/or unpredictable faults. A simple yet effective "hybrid memory-based control" method is proposed to cope with such uncertainties. The method does not involve direct nonlinearity cancellation, or on-line estimation of upper bounds on uncertainties,...
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