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Crust taxa differ in susceptibility to damage and removal by different disturbances (Ponzetti et al. 2007).
For different disturbances, the positions of voltage sources in the simulated DC loop are different.
The methods for estimation and control were tested using different disturbances scenarios.
The LS-SVM control signals can be adapted by various operating conditions and different disturbances.
Variety of experiments was conducted to check the compressor under different disturbances.
Experimental results verified that the proposed controller can achieve excellent tracking performance under different disturbances.
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In addition, the controller is robust in the presence of parameter uncertainties and different disturbance patterns.
Both controllers are scenario based, but originate in two different disturbance modeling paradigms; stochastic and deterministic.
The proposed approach allows different disturbance attenuation levels (DALs) at the vertices of the uncertainty polytope.
The tedious analysis of a large number of different disturbance realizations is not required.
The parameters of the damping controller are estimated by the heuristic optimization algorithm MVMO simultaneously for three different disturbance scenarios.
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