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Objectives, challenges, and prospects of batch processes: Arising from injection molding applications

Korean Journal of Chemical Engineering, 2022, 39(12), 273, pp.3179-3189

2022

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Detecting Abnormality of Battery Lifetime from First‐Cycle Data Using Few‐Shot Learning

Advanced science, 2024-02, Vol.11 (6), p.e2305315-n/a

2024

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Predicting battery impedance spectra from 10-second pulse tests under 10 Hz sampling rate

iScience, 2023-06, Vol.26 (6), p.106821-106821, Article 106821

2023

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Smart batch process: The evolution from 1D and 2D to new 3D perspectives in the era of Big Data

Journal of process control, 2023-10, Vol.130, p.103088, Article 103088

2023

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Effects of azo dye on simultaneous biological removal of azo dye and nutrients in wastewater

Royal Society open science, 2018-08, Vol.5 (8), p.180795-180795

2018

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Critical review of life cycle assessment of lithium-ion batteries for electric vehicles: A lifespan perspective

eTransportation (Amsterdam), 2022-05, Vol.12, p.100169, Article 100169

2022

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Conic Iterative Learning Control Using Distinct Data for Constrained Systems With State-Dependent Uncertainty

IEEE transactions on industrial informatics, 2022-05, Vol.18 (5), p.3095-3104

2022

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Event-triggered distributed robust model predictive control for a class of nonlinear interconnected systems

Automatica (Oxford), 2022-02, Vol.136, p.110039, Article 110039

2022

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Joint estimation of state-of-charge and state-of-health for all cells in the battery pack using “leader-follower” strategy

eTransportation (Amsterdam), 2023-01, Vol.15, p.100213, Article 100213

2023

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Input Mapping Design for Batch-to-Batch Optimization With Limited Memory

IEEE transactions on circuits and systems. II, Express briefs, 2023-01, Vol.70 (1), p.171-175

2023

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An adaptive model predictive control strategy for discrete-time nonlinear system

2016 35th Chinese Control Conference (CCC), 2016, p.4390-4395

2016

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Data-Efficient Constrained Learning for Optimal Tracking of Batch Processes

Industrial & engineering chemistry research, 2021-11, Vol.60 (43), p.15658-15668

2021

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Distributed model predictive control for nonlinear networked systems with asynchronous communication

2017 36th Chinese Control Conference (CCC), 2017, p.4682-4687

2017

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Optimal synchronization control for heterogeneous multi‐agent systems: Online adaptive learning solutions

Asian journal of control, 2022-09, Vol.24 (5), p.2352-2362

2022

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Investigating greenhouse gas emissions and environmental impacts from the production of lithium-ion batteries in China

Journal of cleaner production, 2022-10, Vol.372, p.133756, Article 133756

2022

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Voltage profile reconstruction and state of health estimation for lithium-ion batteries under dynamic working conditions

Energy (Oxford), 2023-11, Vol.282, p.128971, Article 128971

2023

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A quantitative method for early-stage detection of the internal-short-circuit in Lithium-ion battery pack under float-charging conditions

Journal of power sources, 2023-07, Vol.573, p.233109, Article 233109

2023

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Data-Driven Optimal Synchronization Control for Leader-Follower Multiagent Systems

IEEE transactions on systems, man, and cybernetics. Systems, 2023-01, Vol.53 (1), p.495-503

2023

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State-of-power estimation for lithium-ion batteries based on a frequency-dependent integer-order model

Journal of power sources, 2024-02, Vol.594, p.234000, Article 234000

2024

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An aging- and load-insensitive method for quantitatively detecting the battery internal-short-circuit resistance

Chemical engineering journal (Lausanne, Switzerland : 1996), 2023-11, Vol.476, p.146467, Article 146467

2023

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Event-Triggered $$H_{\infty }$$ Filtering for A Class of Nonlinear Systems Under DoS Attacks

Circuits, systems, and signal processing, 2024-09

2024

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Robust statistical industrial fault monitoring: A machine learning-based distributed CCA and low frequency control charts

Chemical engineering science, 2024-11, Vol.299, p.120460, Article 120460

2024

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Cooperative Distributed Predictive Control for Smart Injection Molding Systems With One-Tap Memory

IEEE transactions on industrial informatics, 2024-06, Vol.20 (6), p.8850-8860

2024

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A Secure Control Learning Framework for Cyber-Physical Systems Under Sensor and Actuator Attacks

IEEE transactions on cybernetics, 2021-09, Vol.51 (9), p.4648-4660

2021

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Periodic event‐triggered control for distributed networked multiagents with asynchronous communication: A predictive control approach

International journal of robust and nonlinear control, 2019-01, Vol.29 (1), p.43-66

2019

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Objectives, challenges, and prospects of batch processes: Arising from injection molding applications

Detecting Abnormality of Battery Lifetime from First‐Cycle Data Using Few‐Shot Learning

Predicting battery impedance spectra from 10-second pulse tests under 10 Hz sampling rate

Smart batch process: The evolution from 1D and 2D to new 3D perspectives in the era of Big Data

Effects of azo dye on simultaneous biological removal of azo dye and nutrients in wastewater

Critical review of life cycle assessment of lithium-ion batteries for electric vehicles: A lifespan perspective

Conic Iterative Learning Control Using Distinct Data for Constrained Systems With State-Dependent Uncertainty

Event-triggered distributed robust model predictive control for a class of nonlinear interconnected systems

Joint estimation of state-of-charge and state-of-health for all cells in the battery pack using “leader-follower” strategy

Input Mapping Design for Batch-to-Batch Optimization With Limited Memory

An adaptive model predictive control strategy for discrete-time nonlinear system

Data-Efficient Constrained Learning for Optimal Tracking of Batch Processes

Distributed model predictive control for nonlinear networked systems with asynchronous communication

Optimal synchronization control for heterogeneous multi‐agent systems: Online adaptive learning solutions

Investigating greenhouse gas emissions and environmental impacts from the production of lithium-ion batteries in China

Voltage profile reconstruction and state of health estimation for lithium-ion batteries under dynamic working conditions

A quantitative method for early-stage detection of the internal-short-circuit in Lithium-ion battery pack under float-charging conditions

Data-Driven Optimal Synchronization Control for Leader-Follower Multiagent Systems

State-of-power estimation for lithium-ion batteries based on a frequency-dependent integer-order model

An aging- and load-insensitive method for quantitatively detecting the battery internal-short-circuit resistance

Event-Triggered $$H_{\infty }$$ Filtering for A Class of Nonlinear Systems Under DoS Attacks

Robust statistical industrial fault monitoring: A machine learning-based distributed CCA and low frequency control charts

Cooperative Distributed Predictive Control for Smart Injection Molding Systems With One-Tap Memory

A Secure Control Learning Framework for Cyber-Physical Systems Under Sensor and Actuator Attacks

Periodic event‐triggered control for distributed networked multiagents with asynchronous communication: A predictive control approach

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