Random Sequence Model for Nonlinear Systems with Unknown Control Direction
The iterative learning control is constructed for the discrete-time networked nonlinear systems with random data dropout at the measurement side and unknown control direction, which have not been studied simultaneously in literature. A novel regulating approach based on truncations is introduced to make the proposed algorithm find the correct control direction adaptively, and then guarantee the almost sure convergence property.
- 4.Shen, D.: Iterative Learning Control for Nonlinear Stochastic Systems. Ph.D. thesis, Chinese Academy of Sciences (2010)Google Scholar