A value iteration approach based solely on input/output measurements is proposed to solve linear quadratic (LQ) optimal control problems for single-input, single-output (SISO) continuous-time systems. Such an algorithm is designed by coupling an adaptive Luenberger observer with an indirect value iteration architecture. The continuous-time implementation of this controller requires that the gathered estimates are strongly controllable. A hybrid adaptation mechanism is envisioned to overcome such a requirement. The effectiveness of the proposed approach is validated via numerical simulations.
Possieri, C. (2024). Value iteration for linear quadratic optimal control of single-input single-output systems via output feedback. IEEE CONTROL SYSTEMS LETTERS, 8, 1-6 [10.1109/LCSYS.2024.3393847].
Value iteration for linear quadratic optimal control of single-input single-output systems via output feedback
Possieri C.
2024-01-01
Abstract
A value iteration approach based solely on input/output measurements is proposed to solve linear quadratic (LQ) optimal control problems for single-input, single-output (SISO) continuous-time systems. Such an algorithm is designed by coupling an adaptive Luenberger observer with an indirect value iteration architecture. The continuous-time implementation of this controller requires that the gathered estimates are strongly controllable. A hybrid adaptation mechanism is envisioned to overcome such a requirement. The effectiveness of the proposed approach is validated via numerical simulations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
