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Jie Bao 0002
Person information
- affiliation: The University of New South Wales, School of Chemical Engineering, Sydney, Australia
Other persons with the same name
- Jie Bao — disambiguation page
- Jie Bao 0001 — Rensselaer Polytechnic Institute, Troy, NY, USA
- Jie Bao 0003
— JD Intelligent Cities Research, Beijing, China (and 2 more)
- Jie Bao 0004 — Nanjing Normal University, School of Computer Science and Technology, China
- Jie Bao 0005
- Jie Bao 0006
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2020 – today
- 2024
- [j23]Yitao Yan
An Approach to Data-Based Linear Quadratic Optimal Control. IEEE Control. Syst. Lett. 8: 1120-1125 (2024) - [j22]Yitao Yan
On Approximation of System Behavior From Large Noisy Data Using Statistical Properties of Measurement Noise. IEEE Trans. Autom. Control. 69(4): 2414-2421 (2024) - [j21]Yitao Yan
Distributed Data-Driven Predictive Control via Dissipative Behavior Synthesis. IEEE Trans. Autom. Control. 69(5): 2899-2914 (2024) - [c28]Lai Wei, Ryan McCloy, Jie Bao:
Adaptive Meshes and Contraction Condition Certification for Nonlinear Control Synthesis Using Machine Learning. ACC 2024: 1843-1848 - [c27]Shuangyu Han
Big Data-driven Predictive Control Using Multi-view Clustering. ACC 2024: 5100-5105 - [c26]Yitao Yan, Jie Bao, Biao Huang:
Approximating the System Behavior with Input Uncertainty Using Big Data. ICCA 2024: 924-929 - 2023
- [j20]Wangyan Li
Data-Based Fault Diagnosis via Dissipativity-Shaping. IEEE Control. Syst. Lett. 7: 484-489 (2023) - [i9]Yitao Yan, Jie Bao, Biao Huang:
Distributed Data-driven Predictive Control via Dissipative Behavior Synthesis. CoRR abs/2303.00251 (2023) - 2022
- [j19]Mengjie Zhao, Yitao Yan, Jie Bao
Data predictive control of nonlinear process feature dynamics through latent variable behaviours. Comput. Chem. Eng. 163: 107857 (2022) - [j18]Lai Wei
Discrete-time contraction-based control of nonlinear systems with parametric uncertainties using neural networks. Comput. Chem. Eng. 166: 107962 (2022) - [j17]Ryan McCloy
Contraction-Based Control of Switched Nonlinear Systems Using Dwell Times and Switched Contraction Metrics. IEEE Control. Syst. Lett. 6: 1382-1387 (2022) - [i8]Ryan McCloy, Yifeng Li, Jie Bao, Maria Skyllas-Kazacos:
Electrolyte Flow Rate Control for Vanadium Redox Flow Batteries using the Linear Parameter Varying Framework. CoRR abs/2201.12812 (2022) - [i7]Lai Wei, Ryan McCloy, Jie Bao:
Adaptive Contraction-based Control of Uncertain Nonlinear Processes using Neural Networks. CoRR abs/2201.12816 (2022) - [i6]Lai Wei, Ryan McCloy
A Contraction-constrained Model Predictive Control for Nonlinear Processes using Disturbance Forecasts. CoRR abs/2205.04033 (2022) - [i5]Ryan McCloy, Lai Wei, Jie Bao:
A Contraction-constrained Model Predictive Control for Multi-timescale Nonlinear Processes. CoRR abs/2205.04465 (2022) - 2021
- [c25]Lai Wei, Ryan McCloy
A Neural Network-based Contraction Control with Online Parameter Identification for Uncertain Nonlinear Systems. ANZCC 2021: 143-148 - [i4]Yitao Yan, Jie Bao, Biao Huang:
Behavioural Approach to Distributed Control of Interconnected Systems. CoRR abs/2103.10063 (2021) - [i3]Lai Wei, Ryan McCloy, Jie Bao:
Control Contraction Metric Synthesis for Discrete-time Nonlinear Systems. CoRR abs/2104.10352 (2021) - [i2]Lai Wei, Ryan McCloy, Jie Bao:
Discrete-time Contraction-based Control of Nonlinear Systems with Parametric Uncertainties using Neural Networks. CoRR abs/2105.05432 (2021) - [i1]Lai Wei, Ryan McCloy, Jie Bao:
Contraction Analysis and Control Synthesis for Discrete-time Nonlinear Processes. CoRR abs/2112.04699 (2021) - 2020
- [j16]Yi Liu
A Unified Probabilistic Monitoring Framework for Multimode Processes Based on Probabilistic Linear Discriminant Analysis. IEEE Trans. Ind. Informatics 16(10): 6291-6300 (2020) - [c24]Mengjie Zhao, Yitao Yan
Fault Detection Using Autoencoder with Linear Hidden Layer Dynamics. ANZCC 2020: 48-53
2010 – 2019
- 2019
- [c23]Yitao Yan, Jie Bao, Biao Huang:
Dissipativity Analysis for Linear Systems in the Behavioural Framework. ANZCC 2019: 94-98 - [c22]Yitao Yan
Dissipativity Analysis for Linear Systems in the Behavioural Framework. ANZCC 2019: 152-156 - [c21]Wangyan Li, Yitao Yan, Jie Bao:
Vector Dissipativity-Based Distributed Fault Detection for Plantwide Chemical Processes. ASCC 2019: 1507-1512 - [c20]Yitao Yan
A Scenario Approach to Robust Distributed Control for Plantwide Process Systems. ECC 2019: 560-565 - 2018
- [j15]Qingyang Lei, Ruigang Wang, Jie Bao:
Fault diagnosis based on dissipativity property. Comput. Chem. Eng. 108: 360-371 (2018) - [c19]Yitao Yan
Robust Control Synthesis for Linear Differential Systems with Parametric Uncertainty. ANZCC 2018: 281-284 - [c18]Ruigang Wang, Jie Bao:
Advanced-step Stochastic Model Predictive Control using Random Forests. CDC 2018: 3283-3287 - [c17]Md. Parvez Akter
Charging Control of Vanadium Redox Battery Based Energy Storage Systems with Variable Input Power. ISIE 2018: 489-494 - 2017
- [j14]Pesila Ratnayake, Jie Bao:
Actuation of spatially-varying boundary conditions for reduction of concentration polarisation in reverse osmosis channels. Comput. Chem. Eng. 98: 31-49 (2017) - [j13]Ruigang Wang, Ian R. Manchester
Distributed Economic MPC With Separable Control Contraction Metrics. IEEE Control. Syst. Lett. 1(1): 104-109 (2017) - [c16]Ruigang Wang, Chee Keong Tan
A modified moving horizon estimation scheme for multi-timescale chemical processes. ANZCC 2017: 172-174 - [c15]Ruigang Wang, Qingyang Lei, Jie Bao:
A behavior based robust fault detection approach for LTI systems. ASCC 2017: 1755-1760 - 2016
- [j12]Pesila Ratnayake, Ridwan Setiawan, Jie Bao
Spatio-temporal frequency response analysis of forced slip velocity effect on solute concentration oscillations in a reverse osmosis membrane channel. Comput. Chem. Eng. 84: 151-161 (2016) - [j11]Chee Keong Tan
Model predictive control with non-uniformly spaced optimization horizon for multi-timescale processes. Comput. Chem. Eng. 84: 162-170 (2016) - [c14]Ruigang Wang, Jie Bao:
Plantwide analysis of large-scale stochastic linear discrete-time systems. AuCC 2016: 253-257 - [c13]Xinan Zhang
Control of distributed energy storage systems in residential microgrids. AuCC 2016: 270-275 - [c12]Chaoxu Zheng, Jie Bao, Jinfeng Liu:
Robust control of plantwide chemical processes based on parameter dependent dissipativity. AuCC 2016: 305-310 - 2015
- [j10]Michael J. Tippett, Jie Bao
Distributed control of chemical process networks. Int. J. Autom. Comput. 12(4): 368-381 (2015) - [c11]Qingyang Lei, Jie Bao:
Dissipativity based fault detection and diagnosis for linear systems. CCA 2015: 133-138 - [c10]Ruigang Wang, Jie Bao:
Decentralized control of polynomial systems using differential dissipativity. CCA 2015: 1416-1421 - [c9]Jie Bao, Ruigang Wang:
Distributed plantwide process control based on dissipativity. AuCC 2015: 16-20 - [c8]Ruigang Wang, Jie Bao:
Minimum phase characterization for nonlinear systems with periodic trajectories using differential dissipativity. AuCC 2015: 131-133 - 2014
- [j9]Michael J. Tippett, Jie Bao
Control of plant-wide systems using dynamic supply rates. Autom. 50(1): 44-52 (2014) - [j8]Xing Cai, Michael James Tippett
Fast distributed MPC based on active set method. Comput. Chem. Eng. 71: 158-170 (2014) - [c7]Ruigang Wang, Michael James Tippett, Jie Bao:
Model predictive control of differentially flat systems using Haar wavelets. AuCC 2014: 182-187 - 2013
- [j7]Denny Hioe, Jie Bao
Dissipativity analysis for networks of process systems. Comput. Chem. Eng. 50: 207-219 (2013) - [c6]Nicolas Hudon
Dissipative-based dynamic state feedback design using a geometric decomposition. ACC 2013: 4068-4073 - [c5]Chaoxu Zheng, Michael J. Tippett, Jie Bao
Multirate dissipativity-based distributed MPC. AuCC 2013: 325-330 - [c4]Michael James Tippett, Jie Bao
Distributed model predictive control for networks with changing topologies. AuCC 2013: 427-434 - [c3]Michael J. Tippett, Chaoxu Zheng, Jie Bao
Dissipativity based analysis and control of process networks with varying time delay. ICCA 2013: 318-323 - 2012
- [j6]Nicolas Hudon
Dissipativity-based decentralized control of interconnected nonlinear chemical processes. Comput. Chem. Eng. 45: 84-101 (2012) - [j5]Chenyu Guo, Weidong Zhang
Robust output feedback H∞ control for networked control systems based on the occurrence probabilities of time delays. Int. J. Syst. Sci. 43(2): 259-271 (2012) - 2011
- [c2]Denny Hioe, Jie Bao:
Dissipativity-based analysis for plantwide chemical process systems. AuCC 2011: 428-433
2000 – 2009
- 2007
- [c1]Peiying Chen, Yuanyuan Liu, Weidong Zhang
Analytical Design and Tuning Method of Multivariable controller for Multi-input-Multi-output (MIMO) Processes. ACC 2007: 651-656 - 2006
- [j4]Steven W. Su
Conditions on input disturbance suppression for multivariable nonlinear systems on the basis of feedforward passivity. Int. J. Syst. Sci. 37(4): 225-233 (2006) - 2005
- [j3]Kwong Ho Chan, Jie Bao
A new approach to control of MIMO processes with static nonlinearities using an extended IMC framework. Comput. Chem. Eng. 30(2): 329-342 (2005) - 2004
- [j2]Steven W. Su
Analysis of decentralized integral controllability for nonlinear systems. Comput. Chem. Eng. 28(9): 1781-1787 (2004) - 2002
- [j1]Jie Bao
A passivity-based analysis for decentralized integral controllability. Autom. 38(2): 243-247 (2002)
Coauthor Index
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last updated on 2024-10-25 21:15 CEST by the dblp team
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