Ye Wang
Orcid: 0000-0003-1395-1676Affiliations:
- University of Melbourne, Australia
- Harbin Engineering University, College of Automation, Harbin, China
- Universitat Politècnica de Catalunya, Barcelona, Spain (PhD 2018)
According to our database1,
Ye Wang
authored at least 36 papers
between 2014 and 2023.
Collaborative distances:
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Bibliography
2023
2022
Integrated inventory and transportation management with stochastic demands: A scenario-based economic model predictive control approach.
Expert Syst. Appl., 2022
Real-Time Distributed Model Predictive Control with Limited Communication Data Rates.
CoRR, 2022
Improved Pump Setpoint Selection Using a Calibrated Hydraulic Model of a High-Pressure Irrigation System.
CoRR, 2022
Robust distributed model predictive control of linear systems: Analysis and synthesis.
Autom., 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the IEEE Conference on Control Technology and Applications, 2022
Proceedings of the IEEE Conference on Control Technology and Applications, 2022
2021
Int. J. Syst. Sci., 2021
Zonotopic fault detection observer for discrete-time descriptor systems considering - fault sensitivity.
Int. J. Syst. Sci., 2021
Real-time Distributed MPC for Multiple Underwater Vehicles with Limited Communication Data-rates.
Proceedings of the 2021 American Control Conference, 2021
Path Following by Formations of Agents with Collision Avoidance Guarantees using Distributed Model Predictive Control.
Proceedings of the 2021 American Control Conference, 2021
2020
Fault-Tolerant Control Based on Virtual Actuator and Sensor for Discrete-Time Descriptor Systems.
IEEE Trans. Circuits Syst., 2020
Eur. J. Control, 2020
Minimizing Pumping Energy Cost in Real-time Operations of Water Distribution Systems using Economic Model Predictive Control.
CoRR, 2020
Robust Cooperative Distributed Model Predictive Control based on Set-membership Approach.
Proceedings of the Australian and New Zealand Control Conference, 2020
2019
Robust Fault Detection and Set-Theoretic UIO for Discrete-Time LPV Systems With State and Output Equations Scheduled by Inexact Scheduling Variables.
IEEE Trans. Autom. Control., 2019
IEEE Trans. Autom. Control., 2019
IEEE Trans. Autom. Control., 2019
Robust fault detection and isolation based on zonotopic unknown input observers for discrete-time descriptor systems.
J. Frankl. Inst., 2019
Robust fault detection and isolation based on finite-frequency H-/ H∞ unknown input observers and zonotopic threshold analysis.
IEEE CAA J. Autom. Sinica, 2019
Set-invariance characterizations of discrete-time descriptor systems with application to active mode detection.
Autom., 2019
Proceedings of the 4th Conference on Control and Fault Tolerant Systems, 2019
Proceedings of the 4th Conference on Control and Fault Tolerant Systems, 2019
2018
PhD thesis, 2018
Int. J. Syst. Sci., 2018
Set-membership approach and Kalman observer based on zonotopes for discrete-time descriptor systems.
Autom., 2018
Proceedings of the 16th European Control Conference, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Probability-Guaranteed Set-Membership State Estimation for Polynomially Uncertain Linear Time-Invariant Systems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
Robust invariant sets and active mode detection for discrete-time uncertain descriptor systems.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
Economic MPC with periodic terminal constraints of nonlinear differential-algebraic-equation systems: Application to drinking water networks.
Proceedings of the 15th European Control Conference, 2016
Periodic economic model predictive control with nonlinear-constraint relaxation for water distribution networks.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016
2015
Robust Model Predictive Control based on Gaussian Processes: Application to drinking water networks.
Proceedings of the 14th European Control Conference, 2015
2014
Gaussian-Process-Based Demand Forecasting for Predictive Control of Drinking Water Networks.
Proceedings of the Critical Information Infrastructures Security, 2014