Abstract
A control system is described which employs an adaptive modeler to estimate the state, dynamics, and future trajectory of an unknown plant. Control is automatically synthesized to minimize a performance index involving the estimated future. The effects of perfect and imperfect modeling and of optimal and sub-optimal instrumentation are considered. Experimental results are presented.
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