Li Jia

Orcid: 0000-0002-5566-9209

Affiliations:
  • Shanghai University, College of Mechatronics Engineering and Automation, Department of Automation, Shanghai Key Laboratory of Power Station Automation Technology, Shanghai, China
  • National University of Singapore, Department of Chemical & Biomolecular Engineering, Singapore (2003 - 2005)
  • East China University of Science and Technology, Shanghai, China (PhD 2003)


According to our database1, Li Jia authored at least 31 papers between 2005 and 2023.

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Bibliography

2023
A General Degradation Process of Useful Life Analysis Under Unreliable Signals for Accelerated Degradation Testing.
IEEE Trans. Ind. Informatics, June, 2023

2021
A novel learning algorithm of the neuro-fuzzy based Hammerstein-Wiener model corrupted by process noise.
J. Frankl. Inst., 2021

2020
A just-in-time-learning based two-dimensional control strategy for nonlinear batch processes.
Inf. Sci., 2020

Neuro-fuzzy based identification of Hammerstein OEAR systems.
Comput. Chem. Eng., 2020

Parameter Estimation of Neuro-Fuzzy Wiener Model With Colored Noise Using Separable Signals.
IEEE Access, 2020

2019
Parameter estimation of Hammerstein-Wiener nonlinear system with noise using special test signals.
Neurocomputing, 2019

Correlation Analysis Algorithm-Based Multiple-Input Single-Output Wiener Model with Output Noise.
Complex., 2019

A robust integrated model predictive iterative learning control strategy for batch processes.
Sci. China Inf. Sci., 2019

Quadratic-Criterion-Based Model Predictive Iterative Learning Control for Batch Processes Using Just-in-Time-Learning Method.
IEEE Access, 2019

2018
Foreground Extraction via the Tensor-Based RPCA with Non-Convex Fused Sparsity.
Proceedings of the 14th International Conference on Natural Computation, 2018

2017
Combined separable signals based neuro-fuzzy Hammerstein-Wiener model.
Memetic Comput., 2017

Neuro-fuzzy based identification method for Hammerstein output error model with colored noise.
Neurocomputing, 2017

An LMI Approach to Iterative Learning Control Based on JITL for Batch Processes.
Proceedings of the Intelligent Computing, Networked Control, and Their Engineering Applications, 2017

Dynamic Process Fault Isolation and Diagnosis Using Improved Fisher Discriminant Analysis and Relative Error of Variance.
Proceedings of the Intelligent Computing, Networked Control, and Their Engineering Applications, 2017

Identification Approach of Hammerstein-Wiener Model Corrupted by Colored Process Noise.
Proceedings of the Advanced Computational Methods in Life System Modeling and Simulation, 2017

New Framework Mining Algorithm Based Main Operation Parameters Optimization in Power Plant.
Proceedings of the Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration, 2017

2016
The identification of neuro-fuzzy based MIMO Hammerstein model with separable input signals.
Neurocomputing, 2016

An Integrated Model Predictive Iterative Learning Control Strategy for Batch Processes.
Proceedings of the Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems, 2016

2015
The probability density function based neuro-fuzzy model and its application in batch processes.
Neurocomputing, 2015

Intelligent virtual reference feedback tuning and its application to heat treatment electric furnace control.
Eng. Appl. Artif. Intell., 2015

2012
Pareto-optimal solutions based multi-objective particle swarm optimization control for batch processes.
Neural Comput. Appl., 2012

Integrated neuro-fuzzy model and dynamic R-parameter based quadratic criterion-iterative learning control for batch process.
Neurocomputing, 2012

2010
Optimal Tracking Performance for Unstable Processes with NMP Zeroes.
Proceedings of the Life System Modeling and Intelligent Computing, 2010

Iterative Learning Control Based on Integrated Dynamic Quadratic Criterion for Batch Processes.
Proceedings of the Life System Modeling and Intelligent Computing, 2010

Batch-to-Batch Iterative Optimal Control of Batch Processes Based on Dynamic Quadratic Criterion.
Proceedings of the Life System Modeling and Intelligent Computing, 2010

Multi-objective Particle Swarm Optimization Control Technology and Its Application in Batch Processes.
Proceedings of the Life System Modeling and Intelligent Computing, 2010

2008
An Analytical Adaptive Single-Neuron Compensation Control Law for Nonlinear Process.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

2007
Fuzzy Neural Network-Based Adaptive Single Neuron Controller.
Proceedings of the Bio-Inspired Computational Intelligence and Applications, 2007

Dynamic System Modeling with Multilayer Recurrent Fuzzy Neural Network.
Proceedings of the Computational Intelligence and Security, International Conference, 2007

2006
Adaptive Feedback-Feedforward Control for a Class of Nonlinear Chemical Processes.
Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006

2005
Adaptive Neuro-Fuzzy Control of Non-Affine Nonlinear Systems.
Proceedings of the Intelligent Control, 2005


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