Publications [#322838] of Silvia Ferrari

Papers Published

1. Lu, W; Zhu, P; Ferrari, S, A hybrid-adaptive dynamic programming approach for the model-free control of nonlinear switched systems, Ieee Transactions on Automatic Control, vol. 61 no. 10 (January, 2016), pp. 3203-3208, Institute of Electrical and Electronics Engineers (IEEE) [doi]
   (last updated on 2021/09/05)

   Abstract:
   This paper presents a hybrid adaptive dynamic programming (hybrid-ADP) approach for determining the optimal continuous and discrete control laws of a switched system online, solely from state observations. The new hybrid-ADP recurrence relationships presented are applicable to model-free control of switched hybrid systems that are possibly nonlinear. The computational complexity and convergence of the hybrid-ADP approach are analyzed, and the method is validated numerically showing that the optimal controller and value function can be learned iteratively online from state observations.