Ruigang Wang

Orcid: 0000-0001-8219-6876

According to our database1, Ruigang Wang authored at least 51 papers between 2014 and 2024.

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Bibliography

2024
A Novel Data-Driven Physical Iterative Modeling Approach and its Application in Quantum Instrumentation.
IEEE Trans. Syst. Man Cybern. Syst., September, 2024

Optimal Spin Polarization Control for the Spin-Exchange Relaxation-Free System Using Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Recurrent Equilibrium Networks: Flexible Dynamic Models With Guaranteed Stability and Robustness.
IEEE Trans. Autom. Control., May, 2024

LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers.
CoRR, 2024

On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks.
CoRR, 2024

Learning Stable and Passive Neural Differential Equations.
CoRR, 2024

Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks.
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.
IEEE Trans. Cybern., November, 2023

Magnetic Field Compensation Control for Spin-Exchange Relaxation-Free Comagnetometer Using Reinforcement Learning.
IEEE Trans. Instrum. Meas., 2023

Learning Over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System.
IEEE Control. Syst. Lett., 2023

RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness.
CoRR, 2023

Learning Over All Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems.
CoRR, 2023

Direct Parameterization of Lipschitz-Bounded Deep Networks.
Proceedings of the International Conference on Machine Learning, 2023

Learning Stable and Robust Linear Parameter-Varying State-Space Models.
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.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Learning Over Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Model Predictive Control of Spreading Processes via Sparse Resource Allocation.
Proceedings of the American Control Conference, 2023

2022
Hyperfine Structure of Regolith Unveiled by Chang'E-5 Lunar Regolith Penetrating Radar.
IEEE Trans. Geosci. Remote. Sens., 2022

Reduced-Order Nonlinear Observers Via Contraction Analysis and Convex Optimization.
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.
Remote. Sens., 2022

Atomic Spin Polarization Controllability Analysis: A Novel Controllability Determination Method for Spin-Exchange Relaxation-Free Co-Magnetometers.
IEEE CAA J. Autom. Sinica, 2022

Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees.
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.
Remote. Sens., 2021

Flight Experiment Validation of Altitude Measurement Performance of MOSIR on Tianwen-1 Orbiter.
Remote. Sens., 2021

A Convex Parameterization of Robust Recurrent Neural Networks.
IEEE Control. Syst. Lett., 2021

Nonlinear parameter-varying state-feedback design for a gyroscope using virtual control contraction metrics.
CoRR, 2021

Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models.
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.
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.
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.
J. Robotics Netw. Artif. Life, 2020

Lipschitz Bounded Equilibrium Networks.
CoRR, 2020

Convex Sets of Robust Recurrent Neural Networks.
CoRR, 2020

Virtual Control Contraction Metrics: Convex Nonlinear Feedback Design via Behavioral Embedding.
CoRR, 2020

On Necessary Conditions of Tracking Control for Nonlinear Systems via Contraction Analysis.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics.
Proceedings of the 2020 American Control Conference, 2020

2019
A Comparison of LPV Gain Scheduling and Control Contraction Metrics for Nonlinear Control.
CoRR, 2019

Robust Contraction Analysis of Nonlinear Systems via Differential IQC.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Fault diagnosis based on dissipativity property.
Comput. Chem. Eng., 2018

Advanced-step Stochastic Model Predictive Control using Random Forests.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Robust Control Synthesis for Linear Differential Systems with Parametric Uncertainty.
Proceedings of the 2018 Australian & New Zealand Control Conference (ANZCC), 2018

2017
Distributed Economic MPC With Separable Control Contraction Metrics.
IEEE Control. Syst. Lett., 2017

A behavior based robust fault detection approach for LTI systems.
Proceedings of the 11th Asian Control Conference, 2017

A modified moving horizon estimation scheme for multi-timescale chemical processes.
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.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Deep LSTM Networks for Online Chinese Handwriting Recognition.
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

Control of distributed energy storage systems in residential microgrids.
Proceedings of the Australian Control Conference, AuCC 2016, Newcastle, 2016

Plantwide analysis of large-scale stochastic linear discrete-time systems.
Proceedings of the Australian Control Conference, AuCC 2016, Newcastle, 2016

2015
Minimum phase characterization for nonlinear systems with periodic trajectories using differential dissipativity.
Proceedings of the 2015 5th Australian Control Conference (AUCC), Gold Coast, 2015

Distributed plantwide process control based on dissipativity.
Proceedings of the 2015 5th Australian Control Conference (AUCC), Gold Coast, 2015

Decentralized control of polynomial systems using differential dissipativity.
Proceedings of the 2015 IEEE Conference on Control Applications, 2015

2014
Model predictive control of differentially flat systems using Haar wavelets.
Proceedings of the 4th Australian Control Conference, AuCC 2014, Canberra, 2014


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