Biao Huang
Orcid: 0000-0001-9082-2216Affiliations:
- University of Alberta, Department of Chemical and Materials Engineering, Edmonton, AB, Canada
According to our database1,
Biao Huang
authored at least 314 papers
between 1997 and 2025.
Collaborative distances:
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Online presence:
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on orcid.org
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On csauthors.net:
Bibliography
2025
Reliab. Eng. Syst. Saf., 2025
2024
IEEE Trans. Ind. Electron., November, 2024
Data-Driven Robust Finite-Iteration Learning Control for MIMO Nonrepetitive Uncertain Systems.
IEEE Trans. Cybern., November, 2024
IEEE Trans. Syst. Man Cybern. Syst., October, 2024
Bayesian-Based Causal Structure Inference With a Domain Knowledge Prior for Stable and Interpretable Soft Sensing.
IEEE Trans. Cybern., October, 2024
IEEE Trans. Syst. Man Cybern. Syst., September, 2024
IEEE Trans. Cybern., August, 2024
IEEE Trans. Cybern., July, 2024
IEEE Trans. Ind. Electron., June, 2024
Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning.
IEEE Trans. Neural Networks Learn. Syst., May, 2024
An Unsupervised Fault Detection and Diagnosis With Distribution Dissimilarity and Lasso Penalty.
IEEE Trans. Control. Syst. Technol., May, 2024
IEEE Trans. Autom. Control., May, 2024
Bayesian Filtering for High-Dimensional State-Space Models With State Partition and Error Compensation.
IEEE CAA J. Autom. Sinica, May, 2024
On Approximation of System Behavior From Large Noisy Data Using Statistical Properties of Measurement Noise.
IEEE Trans. Autom. Control., April, 2024
Explicit Representation and Customized Fault Isolation Framework for Learning Temporal and Spatial Dependencies in Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
A Novel CVAE-Based Sequential Monte Carlo Framework for Dynamic Soft Sensor Applications.
IEEE Trans. Ind. Informatics, March, 2024
IEEE Trans. Ind. Informatics, February, 2024
IEEE Trans. Cogn. Dev. Syst., February, 2024
IEEE CAA J. Autom. Sinica, February, 2024
Quality-driven Gaussian mixture variational probabilistic network for soft sensor application in PET/PA6 polymerization process.
Comput. Chem. Eng., February, 2024
Performance-oriented design and analysis for direct data-driven control of multi-agent systems.
Inf. Sci., 2024
IEEE Control. Syst. Lett., 2024
Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives.
CoRR, 2024
Machine learning for industrial sensing and control: A survey and practical perspective.
CoRR, 2024
Moving horizon estimation for pipeline leak detection, localization, and constrained size estimation.
Comput. Chem. Eng., 2024
Comput. Chem. Eng., 2024
Detection of poor controller tuning with Gramian Angular Field (GAF) and StackAutoencoder (SAE).
Comput. Chem. Eng., 2024
Fast Bayesian filtering for wastewater treatment plants with inaccurate process noise statistics.
Comput. Chem. Eng., 2024
Autom., 2024
Proceedings of the 18th IEEE International Conference on Control & Automation, 2024
Suboptimal Bayesian Filters for Markov Jump Linear Systems with Unknown Noise Covariance.
Proceedings of the 18th IEEE International Conference on Control & Automation, 2024
Proceedings of the American Control Conference, 2024
2023
Dynamic Linearization and Extended State Observer-Based Data-Driven Adaptive Control.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023
Data-Driven Adaptive Iterative Learning Bipartite Consensus for Heterogeneous Nonlinear Cooperation-Antagonism Networks.
IEEE Trans. Neural Networks Learn. Syst., November, 2023
IEEE Trans. Control. Syst. Technol., November, 2023
Autom., November, 2023
Identification of Errors-in-Variable System With Heteroscedastic Noise and Partially Known Input Using Variational Bayesian.
IEEE Trans. Ind. Informatics, October, 2023
Data-driven designs of observers and controllers via solving model matching problems.
Autom., October, 2023
Topology identification of sparse network: A stochastic variational Bayesian approach.
Autom., September, 2023
Data-driven fault detection for Lipschitz nonlinear systems: From open to closed-loop systems.
Autom., September, 2023
Data-Driven Virtual Reference Set-Point Learning of PD Control and Applications to Permanent Magnet Linear Motors.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023
Variational Bayesian Approach to Nonstationary and Oscillatory Slow Feature Analysis With Applications in Soft Sensing and Process Monitoring.
IEEE Trans. Control. Syst. Technol., July, 2023
Double Dynamic Linearization-Based Higher Order Indirect Adaptive Iterative Learning Control.
IEEE Trans. Cybern., June, 2023
Variational Bayesian Inference for Robust Identification of PWARX Systems With Time-Varying Time-Delays.
IEEE Trans. Cybern., June, 2023
MPGE and RootRank: A sufficient root cause characterization and quantification framework for industrial process faults.
Neural Networks, April, 2023
IEEE Trans. Autom. Control., March, 2023
Adaptive niching particle swarm optimization with local search for multimodal optimization.
Appl. Soft Comput., January, 2023
ConvLSTM and Self-Attention Aided Canonical Correlation Analysis for Multioutput Soft Sensor Modeling.
IEEE Trans. Instrum. Meas., 2023
A Transferable Multistage Model With Cycling Discrepancy Learning for Lithium-Ion Battery State of Health Estimation.
IEEE Trans. Ind. Informatics, 2023
Deep Bayesian Slow Feature Extraction With Application to Industrial Inferential Modeling.
IEEE Trans. Ind. Informatics, 2023
Process Monitoring Using Domain-Adversarial Probabilistic Principal Component Analysis: A Transfer Learning Framework.
IEEE Trans. Ind. Informatics, 2023
IEEE Trans. Ind. Electron., 2023
A Robust Dissimilarity Distribution Analytics With Laplace Distribution for Incipient Fault Detection.
IEEE Trans. Ind. Electron., 2023
Incremental Variational Bayesian Gaussian Mixture Model With Decremental Optimization for Distribution Accommodation and Fine-Scale Adaptive Process Monitoring.
IEEE Trans. Cybern., 2023
Fault Detection for Nonlinear Dynamic Systems With Consideration of Modeling Errors: A Data-Driven Approach.
IEEE Trans. Cybern., 2023
No-Delay Multimodal Process Monitoring Using Kullback-Leibler Divergence-Based Statistics in Probabilistic Mixture Models.
IEEE Trans Autom. Sci. Eng., 2023
Surrogate Empowered Sim2Real Transfer of Deep Reinforcement Learning for ORC Superheat Control.
CoRR, 2023
Estimation of minimum miscibility pressure (MMP) in impure/pure N2 based enhanced oil recovery process: A comparative study of statistical and machine learning algorithms.
CoRR, 2023
Reinforcement learning for soft sensor design through autonomous cross-domain data selection.
Comput. Chem. Eng., 2023
Moving Horizon Estimation for Discrete-Time Linear Time-Invariant Systems Using Transfer Learning.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
Discrete-Time-Distributed Adaptive ILC With Nonrepetitive Uncertainties and Applications to Building HVAC Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling With Missing Data.
IEEE Trans. Neural Networks Learn. Syst., 2022
Transfer Learning for Dynamic Feature Extraction Using Variational Bayesian Inference.
IEEE Trans. Knowl. Data Eng., 2022
Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives.
IEEE Trans. Intell. Transp. Syst., 2022
Multirate Sensor Fusion in the Presence of Irregular Measurements and Time-Varying Time Delays Using Synchronized, Neural, Extended Kalman Filters.
IEEE Trans. Instrum. Meas., 2022
Sparse and Time-Varying Predictive Relation Extraction for Root Cause Quantification of Nonstationary Process Faults.
IEEE Trans. Instrum. Meas., 2022
Robust Variational Bayesian-Based Soft Sensor Model for LPV Processes With Delayed and Integrated Output Measurements.
IEEE Trans. Instrum. Meas., 2022
Parallel Interaction Spatiotemporal Constrained Variational Autoencoder for Soft Sensor Modeling.
IEEE Trans. Ind. Informatics, 2022
Sensor Fault Estimation in a Probabilistic Framework for Industrial Processes and its Applications.
IEEE Trans. Ind. Informatics, 2022
Offline and Online Parameter Learning for Switching Multirate Processes With Varying Delays and Integrated Measurements.
IEEE Trans. Ind. Electron., 2022
Reinforcement Learning With Constrained Uncertain Reward Function Through Particle Filtering.
IEEE Trans. Ind. Electron., 2022
MoniNet With Concurrent Analytics of Temporal and Spatial Information for Fault Detection in Industrial Processes.
IEEE Trans. Cybern., 2022
Event-Triggered ILC for Optimal Consensus at Specified Data Points of Heterogeneous Networked Agents With Switching Topologies.
IEEE Trans. Cybern., 2022
Quantitative Data-Driven Adaptive Iterative Learning Control: From Trajectory Tracking to Point-to-Point Tracking.
IEEE Trans. Cybern., 2022
Spatial Linear Dynamic Relationship of Strongly Connected Multiagent Systems and Adaptive Learning Control for Different Formations.
IEEE Trans. Cybern., 2022
A Single-Side Neural Network-Aided Canonical Correlation Analysis With Applications to Fault Diagnosis.
IEEE Trans. Cybern., 2022
Variational Progressive-Transfer Network for Soft Sensing of Multirate Industrial Processes.
IEEE Trans. Cybern., 2022
Multisource-Refined Transfer Network for Industrial Fault Diagnosis Under Domain and Category Inconsistencies.
IEEE Trans. Cybern., 2022
IEEE Trans. Control. Syst. Technol., 2022
Data-Driven Communication Efficient Distributed Monitoring for Multiunit Industrial Plant-Wide Processes.
IEEE Trans Autom. Sci. Eng., 2022
Quantisation compensated data-driven iterative learning control for nonlinear systems.
Int. J. Syst. Sci., 2022
SFNet: A slow feature extraction network for parallel linear and nonlinear dynamic process monitoring.
Neurocomputing, 2022
Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey.
CoRR, 2022
A Transferable Multi-stage Model with Cycling Discrepancy Learning for Lithium-ion Battery State of Health Estimation.
CoRR, 2022
Model predictive control of agro-hydrological systems based on a two-layer neural network modeling framework.
CoRR, 2022
Sparsity constrained wavelet neural networks for robust soft sensor design with application to the industrial KIVCET unit.
Comput. Chem. Eng., 2022
A hybrid modelling approach to model process dynamics by the discovery of a system of partial differential equations.
Comput. Chem. Eng., 2022
Autom., 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Observer-Based Sampled-Data Model-Free Adaptive Control for Continuous-Time Nonlinear Nonaffine Systems With Input Rate Constraints.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Extended State Observer-Based Data-Driven Iterative Learning Control for Permanent Magnet Linear Motor With Initial Shifts and Disturbances.
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Instrum. Meas., 2021
Data-Driven Fault Detection for Dynamic Systems With Performance Degradation: A Unified Transfer Learning Framework.
IEEE Trans. Instrum. Meas., 2021
Kalman Filter-Based Convolutional Neural Network for Robust Tracking of Froth-Middling Interface in a Primary Separation Vessel in Presence of Occlusions.
IEEE Trans. Instrum. Meas., 2021
Identification of Two-Dimensional Causal Systems With Missing Output Data via Expectation-Maximization Algorithm.
IEEE Trans. Ind. Informatics, 2021
Online Probabilistic Estimation of Sensor Faulty Signal in Industrial Processes and Its Applications.
IEEE Trans. Ind. Electron., 2021
Hidden Markov Model-Based Attack Detection for Networked Control Systems Subject to Random Packet Dropouts.
IEEE Trans. Ind. Electron., 2021
Siamese Neural Network-Based Supervised Slow Feature Extraction for Soft Sensor Application.
IEEE Trans. Ind. Electron., 2021
Stationary Subspace Analysis-Based Hierarchical Model for Batch Processes Monitoring.
IEEE Trans. Control. Syst. Technol., 2021
A Holistic Probabilistic Framework for Monitoring Nonstationary Dynamic Industrial Processes.
IEEE Trans. Control. Syst. Technol., 2021
IEEE Trans. Control. Syst. Technol., 2021
State Estimation for Multirate Measurements in the Presence of Integral Term and Variable Delay.
IEEE Trans. Control. Syst. Technol., 2021
Active Disturbance Rejection Control for Nonaffined Globally Lipschitz Nonlinear Discrete-Time Systems.
IEEE Trans. Autom. Control., 2021
Convergence Analysis of Sampled-Data ILC for Locally Lipschitz Continuous Nonlinear Nonaffine Systems With Nonrepetitive Uncertainties.
IEEE Trans. Autom. Control., 2021
Data-driven design of fault detection and isolation method for distributed homogeneous systems.
J. Frankl. Inst., 2021
Event-triggered learning consensus of networked heterogeneous nonlinear agents with switching topologies.
J. Frankl. Inst., 2021
J. Frankl. Inst., 2021
A Gaussian mixture model based virtual sample generation approach for small datasets in industrial processes.
Inf. Sci., 2021
Soft sensor based on eXtreme gradient boosting and bidirectional converted gates long short-term memory self-attention network.
Neurocomputing, 2021
Int. J. Control, 2021
CoRR, 2021
Complex probabilistic slow feature extraction with applications in process data analytics.
Comput. Chem. Eng., 2021
A just-in-time modeling approach for multimode soft sensor based on Gaussian mixture variational autoencoder.
Comput. Chem. Eng., 2021
A novel reduced-order algorithm for rational models based on Arnoldi process and Krylov subspace.
Autom., 2021
Proceedings of the 16th International Conference on Computer Science & Education, 2021
2020
Iterative Identification of Hammerstein Parameter Varying Systems With Parameter Uncertainties Based on the Variational Bayesian Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy.
IEEE Trans. Ind. Informatics, 2020
IEEE Trans. Ind. Informatics, 2020
Guest Editorial: Special Section on Smart Process Manufacturing Driven by Artificial Intelligence.
IEEE Trans. Ind. Informatics, 2020
Data-Driven Modeling Based on Two-Stream ${\rm{\lambda }}$ Gated Recurrent Unit Network With Soft Sensor Application.
IEEE Trans. Ind. Electron., 2020
Real-Time Mode Diagnosis for Processes With Multiple Operating Conditions Using Switching Conditional Random Fields.
IEEE Trans. Ind. Electron., 2020
Discrete-Time Extended State Observer-Based Model-Free Adaptive Control Via Local Dynamic Linearization.
IEEE Trans. Ind. Electron., 2020
IEEE Trans. Cybern., 2020
Detecting the Direction of Information Flow in Instantaneous Relations Between Variables.
IEEE Trans. Control. Syst. Technol., 2020
IEEE Trans Autom. Sci. Eng., 2020
Global convergence of the EM algorithm for ARX models with uncertain communication channels.
Syst. Control. Lett., 2020
Optim. Lett., 2020
J. Frankl. Inst., 2020
Multiple step ahead prediction based high order discrete-time sliding mode control design with actuator and communication delays.
J. Frankl. Inst., 2020
A consensus-based approach for parameter and state estimation of agro-hydrological system.
CoRR, 2020
A hierarchical constrained reinforcement learning for optimization of bitumen recovery rate in a primary separation vessel.
Comput. Chem. Eng., 2020
Data analytics approach for online produced fluid flow rate estimation in SAGD process.
Comput. Chem. Eng., 2020
A review On reinforcement learning: Introduction and applications in industrial process control.
Comput. Chem. Eng., 2020
Comput. Chem. Eng., 2020
Extracting nonstationary features for process data analytics and application in fouling detection.
Comput. Chem. Eng., 2020
Autom., 2020
2019
An Improved Data-Driven Point-to-Point ILC Using Additional On-Line Control Inputs With Experimental Verification.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Trans. Inst. Meas. Control, 2019
IEEE Trans. Ind. Informatics, 2019
Simultaneous Static and Dynamic Analysis for Fine-Scale Identification of Process Operation Statuses.
IEEE Trans. Ind. Informatics, 2019
IEEE Trans. Ind. Informatics, 2019
Probabilistic Monitoring of Sensors in State-Space With Variational Bayesian Inference.
IEEE Trans. Ind. Electron., 2019
Variational Bayesian Approach for Causality and Contemporaneous Correlation Features Inference in Industrial Process Data.
IEEE Trans. Cybern., 2019
Mixtures of Probabilistic PCA With Common Structure Latent Bases for Process Monitoring.
IEEE Trans. Control. Syst. Technol., 2019
Neighborhood Variational Bayesian Multivariate Analysis for Distributed Process Monitoring With Missing Data.
IEEE Trans. Control. Syst. Technol., 2019
IEEE Trans. Autom. Control., 2019
Iterative dynamic linearization and identification of a nonlinear learning controller: A data-driven approach.
J. Frankl. Inst., 2019
Multi-lagged-input iterative dynamic linearization based data-driven adaptive iterative learning control.
J. Frankl. Inst., 2019
Computer vision system for froth-middlings interface level detection in the primary separation vessels.
Comput. Chem. Eng., 2019
Comput. Chem. Eng., 2019
Comput. Chem. Eng., 2019
Linear Time-Varying Data Model-Based Iterative Learning Recursive Least Squares Identifications for Repetitive Systems.
IEEE Access, 2019
Proceedings of the 2019 Australian & New Zealand Control Conference (ANZCC), 2019
2018
Control Performance Assessment for ILC-Controlled Batch Processes in a 2-D System Framework.
IEEE Trans. Syst. Man Cybern. Syst., 2018
An Augmented Model Approach for Identification of Nonlinear Errors-in-Variables Systems Using the EM Algorithm.
IEEE Trans. Syst. Man Cybern. Syst., 2018
Computationally Efficient Data-Driven Higher Order Optimal Iterative Learning Control.
IEEE Trans. Neural Networks Learn. Syst., 2018
Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE.
IEEE Trans. Ind. Informatics, 2018
IEEE Trans. Ind. Informatics, 2018
IEEE Trans. Ind. Electron., 2018
Robust Estimation of ARX Models With Time Varying Time Delays Using Variational Bayesian Approach.
IEEE Trans. Cybern., 2018
IEEE Trans Autom. Sci. Eng., 2018
Expectation maximization estimation for a class of input nonlinear state space systems by using the Kalman smoother.
Signal Process., 2018
Distributed dynamic modeling and monitoring for large-scale industrial processes under closed-loop control.
CoRR, 2018
A novel approach to process operating mode diagnosis using conditional random fields in the presence of missing data.
Comput. Chem. Eng., 2018
Autom., 2018
Higher order moment stability region for Markov jump systems based on cumulant generating function.
Autom., 2018
Variational Bayesian approach for ARX systems with missing observations and varying time-delays.
Autom., 2018
Proceedings of the 16th European Control Conference, 2018
Switching Conditional Random Field Approach to Process Operating Mode Diagnosis for Multi-Modal Processes.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
IEEE Trans. Instrum. Meas., 2017
Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR.
IEEE Trans. Ind. Informatics, 2017
Robust Identification of Nonlinear Errors-in-Variables Systems With Parameter Uncertainties Using Variational Bayesian Approach.
IEEE Trans. Ind. Informatics, 2017
A Data-Driven Hybrid ARX and Markov Chain Modeling Approach to Process Identification With Time-Varying Time Delays.
IEEE Trans. Ind. Electron., 2017
IEEE Trans. Ind. Electron., 2017
A Data-Based Augmented Model Identification Method for Linear Errors-in-Variables Systems Based on EM Algorithm.
IEEE Trans. Ind. Electron., 2017
IEEE Trans. Control. Syst. Technol., 2017
A Probabilistic Just-in-Time Learning Framework for Soft Sensor Development With Missing Data.
IEEE Trans. Control. Syst. Technol., 2017
IEEE Trans. Control. Syst. Technol., 2017
Iteration Tuning of Disturbance Observer-Based Control System Satisfying Robustness Index for FOPTD Processes.
IEEE Trans. Control. Syst. Technol., 2017
IEEE Trans Autom. Sci. Eng., 2017
Linear Optimal Unbiased Filter for Time-Variant Systems Without Apriori Information on Initial Conditions.
IEEE Trans. Autom. Control., 2017
Iterative Residual Generator for Fault Detection With Linear Time-Invariant State-Space Models.
IEEE Trans. Autom. Control., 2017
J. Glob. Optim., 2017
Parameter-based conditions for closed-loop system identifiability of ARX models with routine operating data.
J. Frankl. Inst., 2017
Reliable H∞ control for nonlinear discrete-time systems with multiple intermittent faults in sensors or actuators.
Int. J. Syst. Sci., 2017
Mixture semisupervised probabilistic principal component regression model with missing inputs.
Comput. Chem. Eng., 2017
Autom., 2017
IEEE Access, 2017
Identification of nonlinear errors-in-variables systems in state-space form: A linear parameter varying approach.
Proceedings of the 11th Asian Control Conference, 2017
Simultaneous estimation of sub-model number and parameters for mixture probability principal component regression.
Proceedings of the 11th Asian Control Conference, 2017
2016
IEEE Trans. Ind. Electron., 2016
Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference.
IEEE Trans. Ind. Electron., 2016
Bayesian Fault Diagnosis With Asynchronous Measurements and Its Application in Networked Distributed Monitoring.
IEEE Trans. Ind. Electron., 2016
IEEE Trans. Cybern., 2016
IEEE Trans. Control. Syst. Technol., 2016
A direct maximum likelihood optimization approach to identification of LPV time-delay systems.
J. Frankl. Inst., 2016
J. Bioinform. Comput. Biol., 2016
Dynamic higher-order cumulants analysis for state monitoring based on a novel lag selection.
Inf. Sci., 2016
Robust optimization under correlated uncertainty: Formulations and computational study.
Comput. Chem. Eng., 2016
Comput. Chem. Eng., 2016
Robust probabilistic principal component analysis for process modeling subject to scaled mixture Gaussian noise.
Comput. Chem. Eng., 2016
GMM and optimal principal components-based Bayesian method for multimode fault diagnosis.
Comput. Chem. Eng., 2016
Identification of linear dynamic errors-in-variables systems with a dynamic uncertain input using the EM algorithm.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
Fault Detection and Diagnosis of Multiple-Model Systems With Mismodeled Transition Probabilities.
IEEE Trans. Ind. Electron., 2015
IEEE Trans. Ind. Electron., 2015
Bayesian Control Loop Diagnosis by Combining Historical Data and Process Knowledge of Fault Signatures.
IEEE Trans. Ind. Electron., 2015
Diagnosis of Oscillations Between Controller Tuning and Harmonic External Disturbances.
IEEE Trans. Control. Syst. Technol., 2015
Int. J. Control, 2015
A unified data-driven design framework of optimality-based generalized iterative learning control.
Comput. Chem. Eng., 2015
Autom., 2015
Proceedings of the 14th European Control Conference, 2015
Proceedings of the American Control Conference, 2015
Explicit/multi-parametric model predictive control of dissipative distributed parameter systems.
Proceedings of the American Control Conference, 2015
2014
Adaptive monitoring of the process operation based on symbolic episode representation and hidden Markov models with application toward an oil sand primary separation.
Comput. Chem. Eng., 2014
Comput. Chem. Eng., 2014
Expectation Maximization method for multivariate change point detection in presence of unknown and changing covariance.
Comput. Chem. Eng., 2014
Bayesian and Expectation Maximization methods for multivariate change point detection.
Comput. Chem. Eng., 2014
Mode of action classification of chemicals using multi-concentration time-dependent cellular response profiles.
Comput. Biol. Chem., 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the American Control Conference, 2014
2013
A Particle Filter Approach to Approximate Posterior Cramer-Rao Lower Bound: The Case of Hidden States.
IEEE Trans. Aerosp. Electron. Syst., 2013
Int. J. Control, 2013
Comput. Chem. Eng., 2013
Comput. Chem. Eng., 2013
Comput. Chem. Eng., 2013
In vitro cytotoxicity assessment based on KC<sub>50</sub> with real-time cell analyzer (RTCA) assay.
Comput. Biol. Chem., 2013
Ellipsoidal set based robust particle filtering for recursive Bayesian state estimation.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013
Data-driven diagnosis with ambiguous hypotheses in historical data: A generalized Dempter-Shafer approach.
Proceedings of the 16th International Conference on Information Fusion, 2013
2012
Identification of switched Markov autoregressive eXogenous systems with hidden switching state.
Autom., 2012
Proceedings of the 15th International Conference on Information Fusion, 2012
Kalman filtering approach to multirate information fusion for soft sensor development.
Proceedings of the 15th International Conference on Information Fusion, 2012
Matrix-wise approach for identification of multi-mode Switched ARX models with noise.
Proceedings of the American Control Conference, 2012
Proceedings of the American Control Conference, 2012
2011
Control Performance Assessment Subject to Multi-Objective User-Specified Performance Characteristics.
IEEE Trans. Control. Syst. Technol., 2011
Comput. Chem. Eng., 2011
Data-based modeling and prediction of cytotoxicity induced by contaminants in water resources.
Comput. Biol. Chem., 2011
Autom., 2011
Bayesian methods for control loop diagnosis in the presence of temporal dependent evidences.
Autom., 2011
An improved algebraic geometric solution to the identification of switched ARX models with noise.
Proceedings of the American Control Conference, 2011
Bayesian method for identification of constrained nonlinear processes with missing output data.
Proceedings of the American Control Conference, 2011
2010
Performance assessment of advanced supervisory-regulatory control systems with subspace LQG benchmark.
Autom., 2010
2009
<i>H</i><sub>∞</sub> structured model reduction algorithms for linear discrete systems via LMI-based optimisation.
Int. J. Syst. Sci., 2009
Identification of Hammerstein systems without explicit parameterisation of non-linearity.
Int. J. Control, 2009
Implementation of FIR control for <i>H</i><sub>∞</sub> output feedback stabilisation of linear systems.
Int. J. Control, 2009
Comput. Chem. Eng., 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
A control performance benchmark subject to output variance/covariance upper bound and pole placement constraint.
Proceedings of the American Control Conference, 2009
Implementation of FIR control for H∞ output feedback stabilization of linear systems.
Proceedings of the American Control Conference, 2009
2008
Reformulation of LMI-based stabilisation conditions for non-linear systems in Takagi-Sugeno's form.
Int. J. Syst. Sci., 2008
Performance assessment of MIMO control systems with time-variant disturbance dynamics.
Comput. Chem. Eng., 2008
Robust H<sub>2</sub> optimal filtering for continuous-time stochastic systems with polytopic parameter uncertainty.
Autom., 2008
Proceedings of the American Control Conference, 2008
Proceedings of the American Control Conference, 2008
2007
Multirate Minimum Variance Control Design and Control Performance Assessment: A Data-Driven Subspace Approach.
IEEE Trans. Control. Syst. Technol., 2007
Erratum to "Comments on 'A Feedback Min-Max MPC Algortihm for LPV Systems Subject to Bounded Rates of Change of Parameters'".
IEEE Trans. Autom. Control., 2007
Comments on "A Feedback Min-Max MPC Algorithm for LPV Systems Subject to Bounded Rates of Change of Parameters.
IEEE Trans. Autom. Control., 2007
New formulation of robust MPC by incorporating off-line approach with on-line optimization.
Int. J. Syst. Sci., 2007
Int. J. Control, 2007
Constrained robust model predictive control for time-delay systems with polytopic description.
Int. J. Control, 2007
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
Proceedings of the American Control Conference, 2007
2006
IEEE Trans. Signal Process., 2006
SIAM J. Control. Optim., 2006
Proceedings of the Computational Intelligence, 2006
Proceedings of the American Control Conference, 2006
2005
IEEE Trans. Signal Process., 2005
IEEE Trans. Fuzzy Syst., 2005
IEEE Trans. Autom. Control., 2005
Fixed-order Controller Design for Linear Time-invariant Descriptor Systems: a Bmi Approach.
Int. J. Syst. Sci., 2005
Delay-dependent robust guaranteed cost control of an uncertain linear system with state and input delay.
Int. J. Syst. Sci., 2005
Dynamic Modeling, Prediction and Analysis of Cytotoxicity on Microelectronic Sensors.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005
2004
IEEE Trans. Autom. Control., 2004
Robust digital model predictive control for linear uncertain systems with saturations.
IEEE Trans. Autom. Control., 2004
2003
LMI synthesis of H<sub>2</sub> and mixed H<sub>2</sub>/H<sub>∞</sub> controllers for singular systems.
IEEE Trans. Circuits Syst. II Express Briefs, 2003
Syst. Control. Lett., 2003
Robust digital model predictive control for linear uncertain systems with saturations.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003
Proceedings of the American Control Conference, 2003
2002
2001
IEEE Trans. Signal Process., 2001
Detection of abrupt changes of total least squares models and application in fault detection.
IEEE Trans. Control. Syst. Technol., 2001
Robust reliable control for a class of uncertain nonlinear systems with time-varying multistate time delays.
Int. J. Syst. Sci., 2001
LMI-based robust H<sup>infinity</sup> control of uncertain linear jump systems with time-delays.
Autom., 2001
2000
Robust H<sub>2</sub>/H<sub>∞</sub> filtering for linear systems with error variance constraints.
IEEE Trans. Signal Process., 2000
IEEE Trans. Control. Syst. Technol., 2000
IEEE Trans. Autom. Control., 2000
1999
Robust <i>H</i><sub>infinity</sub> observer design of linear state delayed systems with parametric uncertainty: the discrete-time case.
Autom., 1999
Autom., 1999
1997
Autom., 1997