Abstract
Locally optimal backstepping is extended to output-feedback systems with input disturbances and nonlinearities that depend only on the measured output. The constructive design blends worst-case filtering with backstepping, and results in a disturbance attenuating dynamic output-feedback controller that achieves semiglobal inverse optimality and local near-optimality.
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