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第32届中国控制与决策会议

作者： Kaiqing Bu Fuli Wang Yan Liu College of Information Science & Engineering Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Northeastern University

The process operating performance assessment(POPA) is critical for industrial processes to pursue optimal comprehensive economic *** this article,a two-stage deep unsupervised feature learning approach for the industrial POPA is *** the first stage,we utilize stacked sparse denoising auto-encoder(SSDA) to extract deep features from raw input data with noise of different performance grades,which can overcome drawbacks of traditional approach and automatically extract features from process variable correlation *** the second stage,softmax regression is employed to train a neural network classifier for the features of different performance *** presented method is illustrated by a gold hydrometallurgy *** simulation results show that the proposed SSDA method obtains fairly high assessment accuracy and strong robustness than the total projection to latent structures(T-PLS) method even under strong noise interference environment.

关键词： process Operating Performance Assessment Stacked Sparse Denoising Auto-encoder Softmax Regression Gold Hydrometallurgy process

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Event-Triggered and Intermittent Emulation of Safety-Critical Controllers for Nonlinear Systems

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IEEE Transactions on Automatic Control 2025年

作者： Long, Lijun Zhang, Zhongkui Chen, Zhiyong Northeastern University College of Information Science and Engineering Shenyang110819 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Ministry of Education China Chinese Academy of Sciences Shenyang Institute of Automation Shenyang110016 China The University of Newcastle School of Engineering CallaghanNSW2308 Australia

This paper explores the emulation of safety-critical controllers for nonlinear systems within the constraints of limited computational resources and system data. We introduce innovative dynamic event-triggered and intermittent control strategies to digitally implement any given safety-critical controller constructed using a high-order control barrier function and its resultant Lyapunov function. These strategies simultaneously ensure forward invariance, asymptotic convergence, and prevent the Zeno phenomenon while providing an explicit characterization of the minimal dwell time. Our approach offers significant advantages in terms of resource efficiency compared to continuous-time safety-critical controllers. Additionally, we develop an extended framework to address the same control problem in the presence of unknown dynamics, enabling the application of a learning-based approach. We illustrate the effectiveness of the proposed design strategies through both an academic example and a practical problem in adaptive cruise control. © 1963-2012 IEEE.

关键词： Nonlinear control systems

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Application of MXene-Based Molecular Sieves in Improving Selectivity of Semiconductor Hydrogen Sensors

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IEEE Transactions on Instrumentation and Measurement 2025年 74卷

作者： Jingfeng Li Zhenyu Yuan Fangling Zhou Huai Wang Fanli Meng College of Information Science and Engineering Northeastern University Shenyang China State Key Laboratory of Synthetical Automation for Process Industries the College of Information Science and Engineering and the Key Laboratory of Data Analytics and Optimization for Smart Industry Ministry of Education Northeastern University Shenyang China Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology Qinhuangdao China

The poor gas selectivity of semiconductor resistive gas sensors has been limiting their practical applications. Since semiconductor sensor devices are in direct contact with gases, filtering the gases during gas transmission to isolate the interfering gases and prevent the sensor devices from meeting them is an effective method to improve the selectivity of the sensors. In this article, a molecular sieve film is reported for semiconductor sensor filters, which can substantially isolate other interfering gases except hydrogen and still retain a high throughput rate for hydrogen. The molecular sieve film is synthesized from the 2-D material MXene, which has strong adhesion and flexibility properties, and can be perfectly integrated with the metal filters, which greatly improves the value of the molecular sieve film for practical applications. After systematic testing, it is found that the sensor equipped with molecular sieve compared to no molecular sieve sensor for methane, ammonia, and carbon monoxide has about 90% reduction in sensitivity, exciting is still retained 91% of the sensitivity of hydrogen, which is due to the molecular sieve membrane in the nanoscale pores (0.35 nm) in the molecular sieve membrane, which selectively isolates large molecular gases other than hydrogen. This work provides a new approach to improve the selectivity of semiconductor-based hydrogen sensors.

关键词： Hydrogen Molecular sieves Gases Temperature sensors Sensitivity Methane Metals Electrodes Voltage measurement Substrates

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Observer-based Event-triggered Sliding Mode Control for Switched Systems

Observer-based Event-triggered Sliding Mode Control for Swit...

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第三十九届中国控制会议

作者： Yuzhong Wang Jun Zhao The State Key Laboratory of Synthetical Automation for Process Industries Northeastern University School of computer science and engineering Northeastern University

This paper considers the problem of the observer-based event-triggered sliding mode control for switched systems Firstly, due to the unavailable state of the system, an event-triggering communication scheme based on the system output is proposed to save communication resources. Secondly, a common sliding surface is designed and the stability conditions of the sliding mode dynamics is presented in terms of linear matrix inequalities. An adaptive event-triggered sliding mode controller can ensure the retainability of the sliding surface. Thirdly, the positive lower-bound of the inter-execution time intervals is provided such that the Zeno behavior can be excluded. Finally, the effectiveness of the proposed method is demonstrated by a simulation.

关键词： Event-triggered sliding mode control switched systems average dwell time

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Soft Sensing Model of Underflow Concentration for Thickener process based on Data Reconciliation

Soft Sensing Model of Underflow Concentration for Thickener ...

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第32届中国控制与决策会议

作者： Hualu Zhang Fuli Wang Yihua Zhang Dakuo He School of Information Science and Engineering Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Northeastern University

Measured data in industrial production inevitably contain stochastic errors that are influenced by the environment and equipment,and the stochastic errors will reduce the accuracy of the measured *** are widely used in mineral processing and sewage treatment,but the accuracy of the variables of the thickener process cannot meet the requirements,caused by the stochastic errors,and the underflow concentration cannot be real-time ***,pressure sensors were installed in the thickener to establish the soft sensing model of the underflow concentration,but the model accuracy is low owing to the stochastic errors of pressure *** paper presents a soft sensing model of underflow concentration based on data *** data reconciliation method is used to improve the accuracy of variables in thickener process,and then the soft sensing model of underflow concentration is established using the reconciled *** the data of impact thickener process,the validity of the model is confirmed.

关键词： Thickener soft sensing data reconciliation

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Decompositional Verification of Congestion Avoidance for Signalized Traffic Networks

Decompositional Verification of Congestion Avoidance for Sig...

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第三十九届中国控制会议

作者： Qian Liu Lijun Long College of Information Science and Engineering Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Northeastern University

This paper presents a decompositional verification scheme to determine whether there is no traffic jams under a given traffic signal. At beginning, a signalized traffic network is constructed as a switched system. Then, the verification of congestion avoidance for the signalized traffic network is established based on a decompositional methodology. Finally, a simulation example of the signalized traffic network is proposed to demonstrate the effectiveness of the above method.

关键词： signalized traffic networks switched systems decomposition graph strongly connected component(SCC)

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Estimation of total heat exchange factor based on adaptive kernel density estimation theory

Estimation of total heat exchange factor based on adaptive k...

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第32届中国控制与决策会议

作者： Xiaochuan Luo Mingwei Jiang Lu Yu Yuhao Fan Lei Zhang College of Information Science and Engineering Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Northeastern University

Total heat exchange factor plays an important role in determining the ideal temperature rise curve of the slab under steady-state *** "Black Box " experiment and the furnace temperature data measured by the thermocouples in the reheating furnace contain uncertainties and big noise that will affect the identification *** order to solve the above problems,this paper proposes weighted least squares method（WLS） based on adaptive kernel density *** the calculation process,WLS can adaptively reduce the influence of noise on the identification results,and avoid the "residual pollution" and "residual flooding" that may occur in the traditional fixed bandwidth kernel density estimation *** this paper,a numerical algorithm combining conjugate gradient method（CGM） and gradient projection method（GPM） is used to iteratively solve the WLS model,which ensures the stability of the iterative process and improves the identification ***,the CuPCrNi experimental slab data was used to verify the effectiveness of the adaptive kernel density estimation method and ensure robustness.

关键词： reheating furnace total heat exchange factor adaptive kernel density theory weighted least squares CGM GPM

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Nonlinear Successive Compensation Method for Plant-Wide Production Index Based on Industrial Data

Nonlinear Successive Compensation Method for Plant-Wide Prod...

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第31届中国过程控制会议（CPCC 2020）

作者： Kang Li Fuli Wang Dakuo He Yan Liu Hualu Zhang School of Information Science and Engineering Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Northeastern University

Due to the complexities of high-dimensionality, nonlinearity, many constraints, and process model mismatch,the plant-wide production index needs to be compensated when the production index is applied to the actual production process. This paper proposes a nonlinear successive compensation method for the plant-wide production index based on industrial data. Based on the set point of the production index obtained from the plant-wide optimization, the method uses the large amount of industrial data stored in the industrial process to establish the relationship between production index compensation and the increase of economic benefit, optimizing the solution value of the production index compensation that maximizes the economic benefit increment. Through iterative compensation, the method gradually improve the economic benefit of the production process. The proposed method was applied to the hydrometallurgical production process of a refinery. The results verified the effectiveness of the proposed method.

关键词： hydrometallurgical industrial big data optimal compensate plant-wide production index

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Malicious attack design for cyber physical systems: a novel sparse sensor attack strategy

Malicious attack design for cyber physical systems: a novel ...

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第三十九届中国控制会议

作者： An-Yang Lu Guang-Hong Yang College of Information Science and Engineering Northeastern University State Key Laboratory of Synthetical Automation of Process Industries Northeastern University

This paper investigates the stealthy sparse sensor attack design problem for a class of cyber physical systems equipped with state estimator and attack detector. First, a novel sparse sensor attack model is proposed to make the estimator track a target state trajectory which deviates from the original state. Second, an attack performance analysis strategy is provided for the adversary to select appropriate target transmission channels. Third, through transforming the attack design problem into an optimization problem, a specific algorithm, which generates a class of undetectable attacks altering the state estimate without being detected, is proposed. Compared with the existing sparse sensor attacks, the designed attacks can be injected into the systems from any time point even if the estimator knows the initial state. Finally, a numerical simulation is provided to illustrate the correctness and effectiveness of the proposed conditions and methods.

关键词： Cyber-physical systems sparse sensor attacks undetectable attack design state estimation

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Fully Distributed Adaptive Event-Triggered Leaderless Consensus Protocol for Physically Interconnected Multi-agent Systems

Fully Distributed Adaptive Event-Triggered Leaderless Consen...

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第32届中国控制与决策会议

作者： Weihua Li Huaguang Zhang Yingchun Wang Chong Liu College of Information Science and Engineering Northeastern University State Key Laboratory of Synthetical Automation for Process Industries(Northeastern University)

In this study,the leaderless consensus issue is considered for general linear multi-agent systems with physically interconnected network under an undirected connected *** on the local states information feedback,a novel fully distributed controller that uses adaptive event-triggered protocol is developed,which can ensure that every agent achieve consensus without requiring continuous communication and global network ***,it is proved that the Zeno behavior isn’t exhibited by demonstrating the lower-bound of minimum inter-event interval is strictly positive under the proposed control *** to the existing related papers,the salient feature of this paper is that both physically interconnected network and communication interconnected network of the multi-agent systems are considered on the premise that the designed event-triggered consensus protocol are fully distributed,***,this makes the systems are more comprehensive and ***,the performance and effectiveness of the protocol are displayed by a example.

关键词： Multi-agent systems physically interconnected network fully distributed event-triggered consensus

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