6 datasets found

The dataset used in this paper is a collection of N input-output pairs (xj, y∗j) ∈ Rn × Rm, where N is a positive integer. The inputs xj are randomly generated from a continuous...

The dataset used in this paper for data-driven feedback linearization of nonlinear systems with periodic orbits in the zero-dynamics.

The dataset used in the paper is a set of data collected from an offline open-loop experiment, which includes input and state sequences.

The dataset used in this paper is a nonlinear system with unsymmetrical input constraints, and the authors proposed a new design scheme to solve the optimal control problem for...

The dataset used in this paper is a nonlinear positive multi-agent system with sector input nonlinearities.

We develop data-driven reinforcement learning (RL) control designs for input-affine nonlinear systems. We use Carleman linearization to express the state-space representation of...