Ruigang Wang

According to our database, Ruigang Wang authored at least 50 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

A Novel Data-Driven Physical Iterative Modeling Approach and its Application in Quantum Instrumentation.

Bodong Qin, Zhuo Wang, Wenfeng Fan, Ruigang Wang, Feng Li, Wei Quan

IEEE Trans. Syst. Man Cybern. Syst., September, 2024

Optimal Spin Polarization Control for the Spin-Exchange Relaxation-Free System Using Adaptive Dynamic Programming.

Ruigang Wang, Zhuo Wang, Sixun Liu, Tao Li, Feng Li, Bodong Qin, Qinglai Wei

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Recurrent Equilibrium Networks: Flexible Dynamic Models With Guaranteed Stability and Robustness.

Max Revay, Ruigang Wang, Ian R. Manchester

IEEE Trans. Autom. Control., May, 2024

On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks.

Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester

CoRR, 2024

Learning Stable and Passive Neural Differential Equations.

Jing Cheng, Ruigang Wang, Ian R. Manchester

CoRR, 2024

Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks.

Ruigang Wang, Krishnamurthy Dj Dvijotham, Ian R. Manchester

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Fractional Exponential Feedback Control for Finite-Time Stabilization and its Application in a Spin-Exchange Relaxation-Free Comagnetometer.

Zhuo Wang, Ruigang Wang, Sixun Liu, Li Xing, Bodong Qin

IEEE Trans. Cybern., November, 2023

Magnetic Field Compensation Control for Spin-Exchange Relaxation-Free Comagnetometer Using Reinforcement Learning.

Feng Li, Zhuo Wang, Ruigang Wang, Sixun Liu, Bodong Qin, Zehua Liu, Xinxiu Zhou

IEEE Trans. Instrum. Meas., 2023

Learning Over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System.

Ruigang Wang, Nicholas Barbara, Max Revay, Ian R. Manchester

IEEE Control. Syst. Lett., 2023

RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness.

Nicholas H. Barbara, Max Revay, Ruigang Wang, Jing Cheng, Ian R. Manchester

CoRR, 2023

Learning Over All Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems.

Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester

CoRR, 2023

Direct Parameterization of Lipschitz-Bounded Deep Networks.

Ruigang Wang, Ian R. Manchester

Proceedings of the International Conference on Machine Learning, 2023

Learning Stable and Robust Linear Parameter-Varying State-Space Models.

Chris Verhoek, Ruigang Wang, Roland Tóth

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Lipschitz-Bounded 1D Convolutional Neural Networks using the Cayley Transform and the Controllability Gramian.

Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Learning Over Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems.

Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Model Predictive Control of Spreading Processes via Sparse Resource Allocation.

Ruigang Wang, Armaghan Zafar, Ian R. Manchester

Proceedings of the American Control Conference, 2023

2022

Hyperfine Structure of Regolith Unveiled by Chang'E-5 Lunar Regolith Penetrating Radar.

Yan Su, Ruigang Wang, Xiangjin Deng, Zongyu Zhang, Jianfeng Zhou, Zhiyong Xiao, Chunyu Ding, Yuxi Li, Shun Dai, Xin Ren, Xingguo Zeng, Xingye Gao, Jianjun Liu, Dawei Liu, Bin Liu, Bin Zhou, Guangyou Fang, Chunlai Li

IEEE Trans. Geosci. Remote. Sens., 2022

Reduced-Order Nonlinear Observers Via Contraction Analysis and Convex Optimization.

Bowen Yi, Ruigang Wang, Ian R. Manchester

IEEE Trans. Autom. Control., 2022

Electromagnetic Signal Attenuation Characteristics in the Lunar Regolith Observed by the Lunar Regolith Penetrating Radar (LRPR) Onboard the Chang'E-5 Lander.

Chunyu Ding, Yan Su, Zhonghan Lei, Zongyu Zhang, Mi Song, Yuanzhou Liu, Ruigang Wang, Qingquan Li, Chunlai Li, Shaopeng Huang

Remote. Sens., 2022

Atomic Spin Polarization Controllability Analysis: A Novel Controllability Determination Method for Spin-Exchange Relaxation-Free Co-Magnetometers.

Zhuo Wang, Sixun Liu, Ruigang Wang, Linlin Yuan, Jiong Huang, Yueyang Zhai, Sheng Zou

IEEE CAA J. Autom. Sinica, 2022

Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees.

Ruigang Wang, Ian R. Manchester

Proceedings of the American Control Conference, 2022

2021

A Novel Approach for Permittivity Estimation of Lunar Regolith Using the Lunar Penetrating Radar Onboard Chang'E-4 Rover.

Ruigang Wang, Yan Su, Chunyu Ding, Shun Dai, Chendi Liu, Zongyu Zhang, Tiansheng Hong, Qing Zhang, Chunlai Li

Remote. Sens., 2021

Flight Experiment Validation of Altitude Measurement Performance of MOSIR on Tianwen-1 Orbiter.

Tiansheng Hong, Yan Su, Mingyi Fan, Shun Dai, Peng Lv, Chunyu Ding, Zongyu Zhang, Ruigang Wang, Chendi Liu, Wei Du, Shuning Liu, Chunlai Li

Remote. Sens., 2021

A Convex Parameterization of Robust Recurrent Neural Networks.

Max Revay, Ruigang Wang, Ian R. Manchester

IEEE Control. Syst. Lett., 2021

Nonlinear parameter-varying state-feedback design for a gyroscope using virtual control contraction metrics.

Ruigang Wang, Patrick J. W. Koelwijn, Ian R. Manchester, Roland Tóth

CoRR, 2021

Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models.

Max Revay, Ruigang Wang, Ian R. Manchester

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial.

Ian R. Manchester, Max Revay, Ruigang Wang

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Reduced-order observers for nonlinear systems via contraction analysis and convex optimization.

Bowen Yi, Ruigang Wang, Ian R. Manchester

Proceedings of the 2021 American Control Conference, 2021

2020

Data-based Analysis Methods for the State Controllability and State Observability of Discrete-time LTI Systems with Time-delays.

Zhuo Wang, Ruigang Wang

J. Robotics Netw. Artif. Life, 2020

Lipschitz Bounded Equilibrium Networks.

Max Revay, Ruigang Wang, Ian R. Manchester

CoRR, 2020

Convex Sets of Robust Recurrent Neural Networks.

Max Revay, Ruigang Wang, Ian R. Manchester

CoRR, 2020

Virtual Control Contraction Metrics: Convex Nonlinear Feedback Design via Behavioral Embedding.

Ruigang Wang, Roland Tóth, Ian R. Manchester

CoRR, 2020

On Necessary Conditions of Tracking Control for Nonlinear Systems via Contraction Analysis.

Bowen Yi, Ruigang Wang, Ian R. Manchester

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics.

Ruigang Wang, Ian R. Manchester

Proceedings of the 2020 American Control Conference, 2020

2019

A Comparison of LPV Gain Scheduling and Control Contraction Metrics for Nonlinear Control.

Ruigang Wang, Roland Tóth, Ian R. Manchester

CoRR, 2019

Robust Contraction Analysis of Nonlinear Systems via Differential IQC.

Ruigang Wang, Ian R. Manchester

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Fault diagnosis based on dissipativity property.

Qingyang Lei, Ruigang Wang, Jie Bao

Comput. Chem. Eng., 2018

Advanced-step Stochastic Model Predictive Control using Random Forests.

Ruigang Wang, Jie Bao

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Robust Control Synthesis for Linear Differential Systems with Parametric Uncertainty.

Yitao Yan, Ruigang Wang, Jie Bao

Proceedings of the 2018 Australian & New Zealand Control Conference (ANZCC), 2018

2017

Distributed Economic MPC With Separable Control Contraction Metrics.

Ruigang Wang, Ian R. Manchester, Jie Bao

IEEE Control. Syst. Lett., 2017

A behavior based robust fault detection approach for LTI systems.

Ruigang Wang, Qingyang Lei, Jie Bao

Proceedings of the 11th Asian Control Conference, 2017

A modified moving horizon estimation scheme for multi-timescale chemical processes.

Ruigang Wang, Chee Keong Tan, Jie Bao, Mohd Azlan Hussain

Proceedings of the 2017 Australian and New Zealand Control Conference (ANZCC), 2017

2016

Novel character segmentation method for overlapped Chinese handwriting recognition based on LSTM neural networks.

Tonghua Su, Shukai Jia, Qiufeng Wang, Li Sun, Ruigang Wang

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Deep LSTM Networks for Online Chinese Handwriting Recognition.

Li Sun, Tonghua Su, Ce Liu, Ruigang Wang

Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

Control of distributed energy storage systems in residential microgrids.

Xinan Zhang, Ruigang Wang, Jie Bao, Maria Skyllas-Kazacos

Proceedings of the Australian Control Conference, AuCC 2016, Newcastle, 2016

Plantwide analysis of large-scale stochastic linear discrete-time systems.

Ruigang Wang, Jie Bao

Proceedings of the Australian Control Conference, AuCC 2016, Newcastle, 2016

2015

Minimum phase characterization for nonlinear systems with periodic trajectories using differential dissipativity.

Ruigang Wang, Jie Bao

Proceedings of the 2015 5th Australian Control Conference (AUCC), Gold Coast, 2015

Distributed plantwide process control based on dissipativity.

Jie Bao, Ruigang Wang

Proceedings of the 2015 5th Australian Control Conference (AUCC), Gold Coast, 2015

Decentralized control of polynomial systems using differential dissipativity.

Ruigang Wang, Jie Bao

Proceedings of the 2015 IEEE Conference on Control Applications, 2015

2014

Model predictive control of differentially flat systems using Haar wavelets.

Ruigang Wang, Michael James Tippett, Jie Bao

Proceedings of the 4th Australian Control Conference, AuCC 2014, Canberra, 2014