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A passivity based control method is proposed in [39].
A passivity based control method is also proposed for a DC/DC boost converter.
One of the main advantages of the proposed discrepancy based control method is that no model reduction is required.
For the non isothermal case, the so-called Interconnection and Damping Assignment Passivity Based Control method is applied to stabilize the system at a desired state.
In this paper, a battery energy storage system (BESS) based control method is proposed to improve the damping ratio of a target oscillation mode to a desired level by charging or discharging the installed BESS using local measurements.
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Experimental results demonstrate that the presented acceleration sensor based control methods are effective.
The proposed approach indicates that the nonlinear inversion-based control method is also valid for controlling uncertain nonlinear MIMO systems with uncertainties and disturbances, provided that a compensative controller is designed appropriately.
An improved MAS based manipulator control method is also presented in detail.
In this paper, a novel data-driven inverse system identification based predictive control method is proposed for multivariate molten iron quality (MIQ) indices in BF ironmaking process.
In order to overcome these limitations, a novel self-tuning (ST -VSG baST -VSGquency control method is developed in this paper, which decreases the computational basedn ofrequency and provides the self-tuning virtual inertia as well as virtual damping.
At first, a virtual closed-loop system based adaptive fault tolerant control method is developed.
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