38 datasets found

The dataset used in the paper is an Inverted Pendulum dataset, which is a standard benchmark system in control and reinforcement learning.

The dataset used in this paper for compatibility checking of multiple control barrier functions for input constrained systems.

NNSynth: Neural Network Guided Abstraction-Based Controller Synthesis for Stochastic Systems

The dataset used in the paper is a collection of data points from a unicycle robot system, where the robot is controlled using a policy computed via Algorithm 1. The dataset is...

The dataset used in the paper is a collection of data points from a pendulum system, where the pendulum is controlled using a policy computed via Algorithm 1. The dataset is...

The dataset used in this paper is a single state-input trajectory generated from a linear time-invariant system affected by bounded disturbances.

The dataset used for the simulation study of the autoencoder-based Koopman operator.

The dataset used in the paper for forced oscillation source localization in transmission grids.

The dataset used for the inverted pendulum task.

The dataset used for switching density networks for hybrid control law identification.

The cart-pole problem is a classic control problem in robotics and control theory. It is a continuous control problem where the goal is to keep the pole upright by applying a...

The dataset used in this paper is a collection of disturbance data for a quadrotor drone, with 10,000 samples at 100 Hz.

The dataset used in this paper is a collection of trajectory data for a quadrotor drone, with 10,000 samples at 100 Hz.

The dataset used in the paper is a set of reference-tracking control experiments with a heavy-duty machine.

The DeepMind Control Suite is a collection of 20 robotic manipulation tasks, each with 5 different environments and 5 different robot parameters. The tasks are designed to test...

The dataset used in the paper for real-time adaptive safety-critical control with Gaussian processes in high-order uncertain models.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used several continuous control environments from the OpenAI Gym.

The CartPole problem is a classic control problem in robotics and control theory. It is a simple, continuous control problem where a pole is attached to a mass on a cart, and...