Active magnetic bearing (AMB) systems are multi-input multi-output (MIMO) systems with many interacting mechanisms that need to fulfill conflicting performance criteria. That is why robust control techniques are a perfect application for AMB systems as they provide systematic methods to address both robustness and performance objectives. However, robust control techniques generally result in high order controllers that require high-end control hardware for implementation. Such controllers are not desirable by industrial AMB vendors since their hardware is based on embedded systems with limited bandwidth. That is why the computational cost is a major obstacle towards industry adaptation of robust controllers. This thesis developed two novel strategies to reduce the computational cost of implementing robust controllers.

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