49 datasets found

The dataset used in the paper is a set of data for the optimal coordination of automated vehicles at intersections. It includes the state and control trajectories of the...

The dataset used in the paper is a double pendulum system, which is a Hamiltonian system with the energy function H(q1, q2, p1, p2) = 1/2 * (m1 * v1^2 + m2 * v2^2) + m1 * g *...

The dataset used in the paper is a set of impedance models for a three-phase symmetrical TL-VSC grid-connected system.

The dataset used in the paper is a general discrete-time nonlinear system with unknown dynamics.

The dataset used in the paper is a collection of input-output measurements of a nonlinear dynamical system.

The dataset is used for training and testing of spiking neural networks for height control of a hexacopter. The dataset consists of a set of inputs and corresponding outputs,...

The dataset used in this paper is a set of data generated by solving the open loop OCP (2.1) for a set of (randomly sampled) initial conditions.

The dataset used in this paper is a set of data generated by solving the open loop OCP (2.1) for a set of (randomly sampled) initial conditions.

The dataset used for the numerical simulation of the two-cable crane system and the two-link robotic arm.

The dataset used for the Control-Coherent Koopman Modeling method, which includes the equations of motion of a multi-cable crane system and a two-link robotic arm.

The dataset used in this paper is a simulated two-joint robotic arm task with a target reaching task.

The dataset used in the Temporally Layered Architecture (TLA) for adaptive, distributed and continuous control.

The dataset used in this paper is a set of data for training and testing the neural network predictive controller for virtual synchronous generator.

The dataset used in the paper is a set of rocket landing control data with grid fins and path-following using MPC.

The Coupled Electric Drive (CED) benchmark.

The Cascade Tank with overflow (CCT) benchmark.

The dataset used in this paper is a model of a Battery Energy Storage System (BESS) and its control architecture.

The dataset used in the paper is a continuous-time policy gradient method for optimisation of structured neural controller.

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 collection of closed-loop state trajectories of a linear time-invariant system performing an iterative task. The system is subject to an...