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New-designed mathematical model by coordinate system transforming achieves the tracking of single simulative photon.
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Based on the observer, a fuzzy sliding model controller is developed to achieve the tracking performance.
To deal with the uncertainty, a sliding mode control approach is designed to achieve the tracking control.
To achieve the tracking objectives, an optimal robust controller is designed based on μ-synthesis with DK-iteration algorithm.
Motivated by the principle of certainty equivalentcontrol, a decentralized adaptive controller is designed to achieve the tracking objective without computation of the T-S fuzz ymodel.
From the perspective of system operation management, the above integrated control scheme provides a framework to achieve the tracking performance optimization, monitoring and maintaining simultaneously.
A robust neuro-fuzzy controller with tuning mechanism of membership functions and neural weights to achieve the tracking control of composite multivariable systems is proposed.
First, a fuzzy-based adaptive feedback linearization control scheme is designed to achieve the tracking of unknown (or uncertain) missile systems.
Flatness-based feedforward control design for semilinear plug flow reactors is considered in combination with an easily tunable PI controller to achieve the tracking of desired output trajectories.
Finally, the synthesis of controller and disturbance observer is used to achieve the tracking for the velocity and altitude of the FAHV and simulations are presented to illustrate the effectiveness of the control strategies.
More precisely, we consider the force as a virtual control input for the translational dynamics, from which we extract the required (desired) system attitude and thrust achieving the tracking objective.
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