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By introducing a novel adaptive control architecture, decentralized controllers are developed, which allow for parametric uncertainties.
By introducing a novel adaptive control architecture, decentralized controllers are developed, which allow for parameter uncertainties and unknown external disturbances.
In the new approach the GDF and GSF controllers are developed to control complex production systems.
Further more, a robust H2 and robust mixed H2/H∞ controllers are developed for networked control systems (NCSs).
By using standard control methods, a set of simple feedback controllers are developed for the considered system.
In this article, model-based parametric controllers are developed to obtain an optimal positioning control for these motors.
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A stabilisation control system using proportional-integral-derivative (PID) controllers was developed in order to achieve stabilised flight on the calculated navigation trajectories.
In this paper, a new automatic loop-shaping procedure to design QFT controllers is developed.
An independent design method for robust partially decentralized controllers is developed.
Some fractional-order controllers were developed in, e.g., [10, 11].
Based on this observer, an efficient backstepping design and a simple controller are developed for controlling Chen's chaotic system.
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