This paper is concerned with the output tracking control problem for random nonlinear systems time-varying powers. A distinct feature of this that we consider powers and second-order moment process simultaneously, which more practical in real applications than existing results where only one factor considered. We propose a new design scheme, ensures fourth error can be adjusted to arbitrarily s...

In this paper, we propose an adaptive data-driven control approach for linear time varying systems, affected by bounded measurement noise. The plant to be controlled is assumed unknown, and no information in regard its behaviour exploited. First, using set-membership identification techniques, formulate the controller design problem through a model-matching scheme, i.e., designing such that clo...