Nonlinear Systems Identification Using Deep Dynamic Neural Networks

Nonlinear Systems Identification Using Deep Dynamic Neural Networks

5 October 2016

Olalekan P. Ogunmolu

Papers citing "Nonlinear Systems Identification Using Deep Dynamic Neural Networks"

14 / 14 papers shown

Title
ReachLipBnB: A branch-and-bound method for reachability analysis of neural autonomous systems using Lipschitz bounds Taha Entesari Sina Sharifi Mahyar Fazlyab 41 6 0 01 Nov 2022
Gradient-Based Trajectory Optimization With Learned Dynamics Bhavya Sukhija Nathanael Kohler Miguel Zamora Simon Zimmermann Sebastian Curi Andreas Krause Stelian Coros 30 9 0 09 Apr 2022
Neural Ordinary Differential Equations for Nonlinear System Identification Aowabin Rahman Ján Drgoňa Aaron Tuor J. Strube 25 22 0 28 Feb 2022
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning Said Ouala Steven L. Brunton A. Pascual Bertrand Chapron F. Collard L. Gaultier Ronan Fablet PINN AI4TS AI4CE 18 10 0 11 Feb 2022
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 33 93 0 02 Nov 2021
Assured Neural Network Architectures for Control and Identification of Nonlinear Systems James Ferlez Yasser Shoukry 31 0 0 21 Sep 2021
Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics Ján Drgoňa Aaron Tuor V. Chandan D. Vrabie AI4CE 27 115 0 11 Nov 2020
Deep neural network for solving differential equations motivated by Legendre-Galerkin approximation Bryce Chudomelka Youngjoon Hong Hyunwoo J. Kim Jinyoung Park 27 7 0 24 Oct 2020
State space models for building control: how deep should you go? B. Schubnel R. Carrillo Paolo Taddeo L. C. Casals J. Salom Y. Stauffer P. Alet 27 14 0 23 Oct 2020
Neural-Learning Trajectory Tracking Control of Flexible-Joint Robot Manipulators with Unknown Dynamics Shuyang Chen J. Wen 18 15 0 08 Aug 2019
Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN Alireza Koochali P. Schichtel Sheraz Ahmed Andreas Dengel AI4TS 22 72 0 29 Mar 2019
Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems F. J. Gonzalez Maciej Balajewicz AI4CE 22 138 0 03 Aug 2018
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding K. Hundman V. Constantinou Christopher Laporte Ian Colwell T. Söderström AI4TS 16 1,223 0 13 Feb 2018
Deep and Confident Prediction for Time Series at Uber Lingxue Zhu N. Laptev BDL AI4TS 30 342 0 06 Sep 2017