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In parallel, a nominal model was learned from vehicles which complied with the traffic rules.
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For DOB-based controllers, a nominal model is needed; however, obtaining the nominal model is difficult for systems with friction.
Modeling error between practical plant and nominal model is used to design GSMC.
A nominal model is chosen among many linear models linearized under various operating conditions.
A H∞ controller, based on a nominal model is first considered.
Figure 5 shows the results for a single realization when a number of parameters in the nominal model are unknown.
Using this measure, a robust controller design approach, which is based on a nominal model, is proposed.
Using the new proposed method, a decentralized PI controller for the uncertain LTI nominal model is designed.
A nominal model is selected from models identified using experimental data and is used as the a prior model of the controlled process.
The problem is more involved if uncertainties are also present and a computational tractable nominal model is needed for the design.
The nominal model is identified from frequency response data and the uncertainty is presented by a frequency weighted multiplicative modeling method.
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