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Robust fuzzy-based sliding mode tracking control designs are proposed for constrained robot systems with plant uncertainties and external disturbances. Structures of mechanical dynamics can be allowed to be completely unknown and the constraint surface to be perturbed by time-varying bounded uncertainties. Adaptive fuzzy systems are employed to approximate the behaviors of uncertain dynamics and the...
This study presents a analysis of the cruise control for the high speed train (HST). For a train system, the system are designed to being safe and reliable with high efficiency and fault tolerance; however, users require faster, more stable and more comfort transportation. To make sure the safety at such high speed, automatic train control (ATC) is needed and used for the modern HST to guarantee the...
This paper applies a newly developed optimal dynamic output feedback control method to control the angle of attack ?? and pitch angle ?? (for longitudinal control), and the angle of sideslip ?? and roll angle ?? (for lateral-directional control), so that pilot can maneuver and control the airplane to the desired flight attitude precisely. The control design model is based on the linearized aircraft...
Model matching control to unmodeled high frequency dynamic is studied using singular perturbation theory. Both the frequency-domain method and sampled-data control approach are examined. It is shown that the controller designed on the basis of reduced-order model is able to make the full system match the stable model.
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