Abstract
In this paper, a value iteration algorithm, which makes use of just input/output measurements, is proposed to solve linear quadratic (LQ) optimal control problems for single-input, single-output (SISO) plants. This algorithm is designed by coupling an adaptive Luenberger observer with an indirect value iteration architecture for continuous-time plants. The effectiveness of the proposed approach is validated via numerical simulations.
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