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To achieve a fast and stable response for real power control, the intelligent controller consists of an RBFNSM and a GRNN for MPPT (maximum power point tracking) control.
To achieve a fast and stable response for the power control, the intelligent controller consists of a RBFNSM and a GRNN for maximum power point tracking (MPPT) control.
The controller consists of a variable structure control (VSC) for maneuvering control of the slow subsystem and a Lyapunov based controller for vibration suppression of the flexible structure.
The DO based filtered PI (DO-FPI) controller consists of the P control with adjustable filter.
The controller consists of current and power control loops.
The velocity controller consists of a digital feedback control.
The flight phase controller consists of an adaptive feedforward control based on the nonlinear flight dynamics.
Presented controller consists of model reference adaptive control (MRAC) for basal and heuristic adaptive disturbance rejection for bolus insulin administration.
The controller consists of an adaptive learning-based control law, a Nussbaum gain, and a switching function scheme.
The controller consists of a Proximate Time-optimal Servomechanism (PTOS) control law and a compensation term for the unknown disturbance.
The basic assumption, that the architecture of the walking controller consists of individual modules (Fig. 3) each controlling the movement of one leg, is well supported by many experiments (behavioral observations date back to Buddenbrock 1921; Bässler 1983; Wendler 1964, for neurobiological results see a review by Bässler and Büschges 1998).
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