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.
Possieri, C. (2023). Value iteration via output feedback for LQ optimal control of SISO systems. In IFAC-PapersOnLine (pp.11861-11866). Amsterdam : Elsevier B.V. [10.1016/j.ifacol.2023.10.590].
Value iteration via output feedback for LQ optimal control of SISO systems
Possieri C.
2023-01-01
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.File in questo prodotto:
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