Li Jia
Orcid: 0000-0002-5566-9209Affiliations:
- 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 38 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
A Generalized Testing Model for Interval Lifetime Analysis Based on Mixed Wiener Accelerated Degradation Process.
IEEE Internet Things J., December, 2024
IEEE CAA J. Autom. Sinica, November, 2024
Dynamic Neural Network Predictive Compensation-Based Point-to-Point Iterative Learning Control With Nonuniform Batch Length.
IEEE Trans. Neural Networks Learn. Syst., September, 2024
Novel Outlier-Robust Accelerated Degradation Testing Model and Lifetime Analysis Method Considering Time-Stress-Dependent Factors.
IEEE Trans. Ind. Informatics, August, 2024
IEEE Internet Things J., May, 2024
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain.
CoRR, 2024
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024
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
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
Proceedings of the 14th International Conference on Natural Computation, 2018
2017
Memetic Comput., 2017
Neuro-fuzzy based identification method for Hammerstein output error model with colored noise.
Neurocomputing, 2017
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
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
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008
2007
Proceedings of the Bio-Inspired Computational Intelligence and Applications, 2007
Proceedings of the Computational Intelligence and Security, International Conference, 2007
2006
Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006
2005
Proceedings of the Intelligent Control, 2005