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Temporally Layered Architecture (TLA) for Adaptive, Distributed and Continuou...
The dataset used in the Temporally Layered Architecture (TLA) for adaptive, distributed and continuous control. -
Neural Network Predictive Controller for Grid-Connected Virtual Synchronous G...
The dataset used in this paper is a set of data for training and testing the neural network predictive controller for virtual synchronous generator. -
Rocket Landing Control with Grid Fins and Path-following using MPC
The dataset used in the paper is a set of rocket landing control data with grid fins and path-following using MPC. -
Coupled electric drives data set and reference models
The Coupled Electric Drive (CED) benchmark. -
Three benchmarks addressing open challenges in non-linear system identification
The Cascade Tank with overflow (CCT) benchmark. -
Battery Energy Storage System
The dataset used in this paper is a model of a Battery Energy Storage System (BESS) and its control architecture. -
Continuous-Time Policy Gradient for Optimisation of Structured Neural Controller
The dataset used in the paper is a continuous-time policy gradient method for optimisation of structured neural controller. -
Data-based stabilization of unknown bilinear systems
The dataset used in the paper is a set of data collected from an offline open-loop experiment, which includes input and state sequences. -
Closed-Loop State Trajectories
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... -
Rotator Experiment
The dataset used in the paper is a pendulum experiment. -
Time-Delay System
The dataset used in the paper is a time-delay system, which is a nonlinear system of the form ̇x1 = f1(x1, x2 - y2d2, u1) + w1 and ̇x2 = f2(x2, x1 - y1d1, u2) + w2, where y1 and... -
Synthesis of Neural Barrier Certificates
The dataset used in the paper is a set of polynomial and non-polynomial dynamical models, including the Darboux model, the exponential model, the obstacle avoidance problem, the... -
Neural Identification for Control
The proposed method for learning control for an unknown nonlinear dynamical system by formulating a system identification task. -
Stability Verification in Stochastic Control Systems via Neural Network
The dataset used in the paper is a discrete-time stochastic dynamical system with two novel aspects: (a) using ranking supermartingales (RSMs) to certify almost-sure asymptotic... -
Controller Structure for Autonomous E-Scooter
The proposed controller structure for the driving dynamics of the autonomous e-scooter. -
VRFT dataset for vehicle dynamics control
The dataset used in this paper for Virtual Reference Feedback Tuning (VRFT) is a set of data for vehicle dynamics control, including yaw-rate tracking and sideslip angle... -
MPC dataset for vehicle dynamics control
The dataset used in this paper for Model Predictive Control (MPC) is a set of data for vehicle dynamics control, including yaw-rate tracking and sideslip angle estimation. -
TiL-C dataset for vehicle dynamics control
The dataset used in this paper for Twin-in-the-Loop Control (TiL-C) is a set of data for vehicle dynamics control, including yaw-rate tracking and sideslip angle estimation. -
Cart-pole problem dataset
The dataset used for the cart-pole problem is a finite set of states: S, a finite set of actions: A, a state transition probability matrix, P, a reward function R, and a...
