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学者姓名：李晓理
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Abstract ：
The burning of fossil fuels is responsible for a large share of global electricity generation, leading to the emission of various atmospheric pollutants, such as sulfur dioxide (SO2 ). Due to the significant release of SO2 from coal combustion, wet flue gas desulfurization (WFGD) technologies are widely utilized in coal-powered plants. The design of WFGD modeling systems is essential for enhancing and managing the desulfurization process. However, WFGD processes in industrial settings are complex, featuring non-linear behavior, time delays, and dynamic uncertainties driven by environmental changes, making effective dynamic modeling a daunting task. This study presents an innovative FGD modeling system that combines machine learning, multi-model approaches, and dynamic neural model to address these challenges. The system achieves high accuracy in predicting SO2 emission concentration, even with fluctuating process dynamics. The proposed modeling system's effectiveness and practicality are validated through an examination of a real-world WFGD process. Moreover, its flexible structure, real-time capability, and exceptional performance highlight its broad applicability across many sectors.
Keyword ：
Nonlinear autoregressive-moving average-L2 Nonlinear autoregressive-moving average-L2 SO2 emission prediction SO2 emission prediction Machine learning Machine learning model model Wet flue gas desulphurisation Wet flue gas desulphurisation Adaptive learning Adaptive learning
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| GB/T 7714 | Liu, Quanbo , Li, Xiaoli , Wang, Kang . Real-time dynamic modelling of industrial WFGD process using an intelligence-based multi-model approach [J]. | MEASUREMENT , 2025 , 249 . |
| MLA | Liu, Quanbo 等. "Real-time dynamic modelling of industrial WFGD process using an intelligence-based multi-model approach" . | MEASUREMENT 249 (2025) . |
| APA | Liu, Quanbo , Li, Xiaoli , Wang, Kang . Real-time dynamic modelling of industrial WFGD process using an intelligence-based multi-model approach . | MEASUREMENT , 2025 , 249 . |
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Abstract ：
In the context of actual physical processes over time and space, focussing on a spatial two-dimensional (2-D) framework is more practical. As the number of spatial dimension increases, the complexity of controller design escalates significantly. This study presents a fuzzy stabilisation design aimed at spatial 2-D time-delay nonlinear parabolic partial differential equation (PDE) systems utilising mobile sensor/actuator pairs. Initially, the Takagi-Sugeno (T-S) fuzzy model is employed to accurately characterise the 2-D nonlinear time-delay PDE systems. Following this, a fuzzy controller design scheme is introduced that strategically leverages mobile sensor/actuator pairs placed in various subdomains within the spatial domain based on the T-S fuzzy model. Subsequently, using the developed T-S fuzzy model and the Lyapunov direct method, a membership-dependent fuzzy stabilisation controller design is formulated, along with the guidance laws for mobile sensor/actuator pairs, ensuring that the resulting closed-loop system for the spatial 2-D time-delay scenario achieves the exponential stability. The mobile strategy integrates two directional guidance laws, with each dimension having its own specific guidance form. Finally, numerical simulations are conducted to demonstrate the effectiveness of the proposed design approach.
Keyword ：
mobile sensor/actuator pairs mobile sensor/actuator pairs Spatial 2-D nonlinear time-delay PDE system Spatial 2-D nonlinear time-delay PDE system exponential stability exponential stability T-S fuzzy model T-S fuzzy model
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| GB/T 7714 | Zhang, Xiao-Wei , Lu, You-Chen , Li, Xiaoli et al. Delay-dependent fuzzy stabilisation design for spatial 2-D time-delay parabolic PDE systems based on mobile sensors and actuators [J]. | INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE , 2025 . |
| MLA | Zhang, Xiao-Wei et al. "Delay-dependent fuzzy stabilisation design for spatial 2-D time-delay parabolic PDE systems based on mobile sensors and actuators" . | INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE (2025) . |
| APA | Zhang, Xiao-Wei , Lu, You-Chen , Li, Xiaoli , Wu, Huai-Ning , Wang, Zi-Peng . Delay-dependent fuzzy stabilisation design for spatial 2-D time-delay parabolic PDE systems based on mobile sensors and actuators . | INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE , 2025 . |
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Abstract ：
Ground-source heat pump (GSHP) systems with medium-depth and deeply buried pipes in cold regions are highly important for addressing global climate change and the energy crisis because of their efficient, clean, and sustainable energy characteristics. However, unique geological conditions in cold climates pose serious challenges to the heat transfer efficiency, long-term stability, and adaptability of systems. This study comprehensively analyses the effects of various factors, including well depth, inner-to-outer tube diameter ratios, cementing material, the thermal conductivity of the inner tube, the flow rate, and the start-stop ratio, on the performance of a medium-depth coaxial borehole heat exchanger. Field tests, numerical simulations, and sensitivity analyses are combined to determine the full-cycle thermal performance and heat-transfer properties of medium-depth geological formations and their relationships with system performance. The results show that the source water temperature increases by approximately 4 degrees C and that the heat transfer increases by 50 kW for every 500 m increase in well depth. The optimization of the inner and outer pipe diameter ratios effectively improves the heat-exchange efficiency, and a larger pipe diameter ratio design can significantly reduce the flow resistance and improve system stability. When the thermal conductivity of the cementing cement increases from 1 W/(mK) to 2 W/(mK), the outlet water temperature at the source side increases by approximately 1 degrees C, and the heat transfer increases by 13 kW. However, the improvement effect of further increasing the thermal conductivity on the heat-exchange efficiency gradually decreases. When the flow rate is 0.7 m/s, the heat transfer is stable at approximately 250 kW, and the system economy and heat-transfer efficiency reach a balance. These findings provide a robust scientific basis for promoting medium-deep geothermal energy heating systems in cold regions and offer valuable references for the green and low-carbon transition in building heating systems.
Keyword ：
rock and soil mass heat transfer rock and soil mass heat transfer cold region cold region medium deep medium deep ground-source heat pump ground-source heat pump
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| GB/T 7714 | Li, Jianlin , Qi, Xupeng , Li, Xiaoli et al. Research on the Optimized Design of Medium and Deep Ground-Source Heat Pump Systems Considering End-Load Variation [J]. | SUSTAINABILITY , 2025 , 17 (7) . |
| MLA | Li, Jianlin et al. "Research on the Optimized Design of Medium and Deep Ground-Source Heat Pump Systems Considering End-Load Variation" . | SUSTAINABILITY 17 . 7 (2025) . |
| APA | Li, Jianlin , Qi, Xupeng , Li, Xiaoli , Huang, Huijie , Gao, Jian . Research on the Optimized Design of Medium and Deep Ground-Source Heat Pump Systems Considering End-Load Variation . | SUSTAINABILITY , 2025 , 17 (7) . |
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Abstract ：
In this paper, a fault-tolerant-based online critic learning algorithm is developed to solve the optimal tracking control issue for nonaffine nonlinear systems with actuator faults. First, a novel augmented plant is constructed by fusing the system state and the reference trajectory, which aims to transform the optimal fault-tolerant tracking control design with actuator faults into the optimal regulation problem of the conventional nonlinear error system. Subsequently, in order to ensure the normal execution of the online learning algorithm, a stability criterion condition is created to obtain an initial admissible tracking policy. Then, the constructed model neural network (NN) is pre-trained to recognize the system dynamics and calculate trajectory control. The critic and action NNs are constructed to output the approximate cost function and approximate tracking control, respectively. The Hamilton-Jacobi-Bellman equation of the error system is solved online through the action-critic framework. In theoretical analysis, it is proved that all concerned signals are uniformly ultimately bounded according to the Lyapunov principle. The tracking control law can approach the optimal tracking control within a finite approximation error. Finally, two experimental examples are conducted to indicate the effectiveness and supe-riority of the developed fault-tolerant tracking control scheme.
Keyword ：
neural network (NN) neural network (NN) uni-form ultimate boundedness uni-form ultimate boundedness online fault-tolerant tracking design online fault-tolerant tracking design non-affine nonlinear systems non-affine nonlinear systems Adaptive critic control Adaptive critic control
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| GB/T 7714 | Wang, Ding , Hu, Lingzhi , Li, Xiaoli et al. Online Fault-Tolerant Tracking Control With Adaptive Critic for Nonaffine Nonlinear Systems [J]. | IEEE-CAA JOURNAL OF AUTOMATICA SINICA , 2025 , 12 (1) : 215-227 . |
| MLA | Wang, Ding et al. "Online Fault-Tolerant Tracking Control With Adaptive Critic for Nonaffine Nonlinear Systems" . | IEEE-CAA JOURNAL OF AUTOMATICA SINICA 12 . 1 (2025) : 215-227 . |
| APA | Wang, Ding , Hu, Lingzhi , Li, Xiaoli , Qiao, Junfei . Online Fault-Tolerant Tracking Control With Adaptive Critic for Nonaffine Nonlinear Systems . | IEEE-CAA JOURNAL OF AUTOMATICA SINICA , 2025 , 12 (1) , 215-227 . |
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Abstract ：
Efficient flotation beneficiation heavily relies on accurate flotation condition recognition based on monitored froth video. However, the recognition accuracy is hindered by limitations of extracting temporal features from froth videos and establishing correlations between complex multi-modal high-order data. To address the difficulties of inadequate temporal feature extraction, inaccurate online condition detection, and inefficient flotation process operation, this paper proposes a novel flotation condition recognition method named the multi-modal temporal hypergraph neural network (MTHGNN) to extract and fuse multi-modal temporal features. To extract abundant dynamic texture features from froth images, the MTHGNN employs an enhanced version of the local binary pattern algorithm from three orthogonal planes (LBP-TOP) and incorporates additional features from the three-dimensional space as supplements. Furthermore, a novel multi-view temporal feature aggregation network (MVResNet) is introduced to extract temporal aggregation features from the froth image sequence. By constructing a temporal multi-modal hypergraph neural network, we encode complex high-order temporal features, establish robust associations between data structures, and flexibly model the features of froth image sequence, thus enabling accurate flotation condition identification through the fusion of multi-modal temporal features. The experimental results validate the effectiveness of the proposed method for flotation condition recognition, providing a foundation for optimizing flotation operations.
Keyword ：
MVResNet MVResNet froth image sequence froth image sequence temporal HGNN temporal HGNN multi-modal fusion multi-modal fusion flotation condition identification flotation condition identification
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| GB/T 7714 | Fan, Zunguan , Feng, Yifan , Wang, Kang et al. Multi-Modal Temporal Hypergraph Neural Network for Flotation Condition Recognition [J]. | ENTROPY , 2024 , 26 (3) . |
| MLA | Fan, Zunguan et al. "Multi-Modal Temporal Hypergraph Neural Network for Flotation Condition Recognition" . | ENTROPY 26 . 3 (2024) . |
| APA | Fan, Zunguan , Feng, Yifan , Wang, Kang , Li, Xiaoli . Multi-Modal Temporal Hypergraph Neural Network for Flotation Condition Recognition . | ENTROPY , 2024 , 26 (3) . |
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Abstract ：
The process of smelting non-ferrous metals results in significant emissions of flue gas that contains sulfur dioxide (SO 2$$ {}_2 $$), which is very harmful to the environment. Through precise control of converter inlet temperature, it is feasible to enhance the conversion ratio of SO 2$$ {}_2 $$ and simultaneously mitigate environmental pollution by generating acid from flue gas. Because of the high degree of uncertainty in smelting process, converter inlet temperature is challenging to regulate and controller frequently needs updating. To improve control performance and decrease controller update times, an event-triggered neural network model predictive control (ETNMPC) strategy is proposed. First, long short-term memory (LSTM) prediction model and model predictive controller are developed. Second, it is decided whether to update the existing controller by designing an event-triggered mechanism. Finally, using real data from a copper facility in Jiangxi Province, the temperature control experiment of converter inlet is carried out. Simulation results demonstrate that the proposed ETNMPC outperforms conventional time-triggered method in terms of control performance, greatly lowers the times of controller updates, and significantly lowers computation costs and communication burden. Key findings: (1) LSTM neural network is used to establish the predictive model of converter inlet temperature and model predictive controller is designed. (2) Two different event-triggered mechanisms with fixed threshold are designed. (3) Event-triggered neural network predictive control can effectively reduce the number of controller triggers, save computing resources, and improve system performance. image
Keyword ：
neural network predictive control neural network predictive control event-triggered mechanism event-triggered mechanism tracking control tracking control flue gas acid production flue gas acid production
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| GB/T 7714 | Liu, Minghua , Li, Xiaoli , Wang, Kang . Neural network predictive control of converter inlet temperature based on event-triggered mechanism in flue gas acid production [J]. | OPTIMAL CONTROL APPLICATIONS & METHODS , 2024 , 45 (4) : 1815-1831 . |
| MLA | Liu, Minghua et al. "Neural network predictive control of converter inlet temperature based on event-triggered mechanism in flue gas acid production" . | OPTIMAL CONTROL APPLICATIONS & METHODS 45 . 4 (2024) : 1815-1831 . |
| APA | Liu, Minghua , Li, Xiaoli , Wang, Kang . Neural network predictive control of converter inlet temperature based on event-triggered mechanism in flue gas acid production . | OPTIMAL CONTROL APPLICATIONS & METHODS , 2024 , 45 (4) , 1815-1831 . |
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Abstract ：
In this article, a global output feedback control scheme is developed for a class of uncertain nonlinear systems subject to input quantization and unknown output function. By employing a time-varying gain and a time-invariant gain, we address the challenges posed by quantization errors and nonlinear functions with an unknown linear growth rate. Additionally, we determine an allowable measurement sensitivity error by solving a straightforward inequality. We demonstrate that the proposed scheme ensures global asymptotic stability for the system and guarantees that all signals of the closed-loop system remain bounded. Finally, we validate the proposed approach through a mathematical example and an experiment conducted on the QUBE-Servo 2 equipped with an inertial disc module.
Keyword ：
Global asymptotic stability Global asymptotic stability unknown output function unknown output function Quantization (signal) Quantization (signal) Nonlinear systems Nonlinear systems Information science Information science quantization quantization Sensitivity Sensitivity networked control systems (NCSs) networked control systems (NCSs) Hysteresis Hysteresis Lyapunov methods Lyapunov methods Output feedback Output feedback Measurement uncertainty Measurement uncertainty Symmetric matrices Symmetric matrices Asymptotic stability Asymptotic stability
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| GB/T 7714 | Yu, Xiaowei , Li, Xiaoli . Global Asymptotic Stabilization Control for Uncertain Nonlinear Systems With Input Quantization and Unknown Output Function [J]. | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS , 2024 , 54 (12) : 7528-7533 . |
| MLA | Yu, Xiaowei et al. "Global Asymptotic Stabilization Control for Uncertain Nonlinear Systems With Input Quantization and Unknown Output Function" . | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 54 . 12 (2024) : 7528-7533 . |
| APA | Yu, Xiaowei , Li, Xiaoli . Global Asymptotic Stabilization Control for Uncertain Nonlinear Systems With Input Quantization and Unknown Output Function . | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS , 2024 , 54 (12) , 7528-7533 . |
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Abstract ：
This paper investigates the issue of adaptive finite-time tracking for nonlinear systems with both quantized input and states. More specially, a saturated quantized input is applied for the input quantization. By constructing a novel high-gain fuzzy state observer, the issues of unknown nonlinearities and discontinuous quantized signals are addressed. Then an adaptive backstepping controller involving the fuzzy logic systems is developed. It is verified that, with the designed control method, all signals of the closed-loop system are bounded, and the tracking error can be made small by choosing the design parameters suitably. Finally, a simulation example is studied to show the effectiveness of the control scheme.
Keyword ：
High-gain Observer High-gain Observer Fuzzy Logic Systems Fuzzy Logic Systems Quantized States Quantized States Finite-time Tracking Finite-time Tracking
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| GB/T 7714 | Yu, Xiaowwi , Li, Xiaoli . Fuzzy Finite-Time Tracking Control of Nonlinear Systems with Quantized States and Saturated Quantized Input [J]. | 2024 43RD CHINESE CONTROL CONFERENCE, CCC 2024 , 2024 : 745-752 . |
| MLA | Yu, Xiaowwi et al. "Fuzzy Finite-Time Tracking Control of Nonlinear Systems with Quantized States and Saturated Quantized Input" . | 2024 43RD CHINESE CONTROL CONFERENCE, CCC 2024 (2024) : 745-752 . |
| APA | Yu, Xiaowwi , Li, Xiaoli . Fuzzy Finite-Time Tracking Control of Nonlinear Systems with Quantized States and Saturated Quantized Input . | 2024 43RD CHINESE CONTROL CONFERENCE, CCC 2024 , 2024 , 745-752 . |
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Abstract ：
This article investigates the predefined-time tracking problem for high-order strict feedback system. 'Modified command filter can riot only avoid the "computational complexity explosion" phenomenon in traditional backstepping methods, but also alleviate the chattering problem caused by signum in conventional filters. A novel predefined-time compensation system is proposed to compensate for the decrease in control accuracy caused by filtering errors. Predefined-time command filtering controller is proposed by combining the backstepping mechanism and predefined-time theory, ensuring that the controlled system converges within a user-defined time. Finally, mathematical simulation demionstrates the rationality and effectiveness of the proposed control scheme.
Keyword ：
Modified command filter Modified command filter Error compensation mechanism Error compensation mechanism Predefined-time stability Predefined-time stability
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| GB/T 7714 | Zhang, Guoju , Li, Xiaoli . Predefined-Time Command Filtering Control for High-Order Strict Feedback System [J]. | 2024 43RD CHINESE CONTROL CONFERENCE, CCC 2024 , 2024 : 43-48 . |
| MLA | Zhang, Guoju et al. "Predefined-Time Command Filtering Control for High-Order Strict Feedback System" . | 2024 43RD CHINESE CONTROL CONFERENCE, CCC 2024 (2024) : 43-48 . |
| APA | Zhang, Guoju , Li, Xiaoli . Predefined-Time Command Filtering Control for High-Order Strict Feedback System . | 2024 43RD CHINESE CONTROL CONFERENCE, CCC 2024 , 2024 , 43-48 . |
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Abstract ：
It is well established that the configuration and operation of variable speed air source heat pumps (VS ASHPs) can significantly influence their frosting performance. However, there is currently no effective method to conveniently and accurately evaluate the frosting suppression performance of these units. This paper addresses this gap by proposing a novel evaluation method based on a frosting suppression map for VS ASHPs. Firstly, an experimental setup with four ASHP units and developed frosting suppression maps is described. Second, a method for evaluating the frosting suppression performance of VS ASHP is developed based on the map. Thirdly, a comprehensive evaluation of the frosting suppression performance of the experimental unit is carried out. It is shown that the beta values of the four units under the constitutive configuration were 0.74, 0.12, 0.21, and 0.52, and the frosting suppression performance was evaluated as Good, Poor, Fair, and Average, respectively. It could be enhanced and improved to 0.89 (Excellent), 0.24 (Fair), 0.64 (Good), and 0.63 (Good) after applying the frosting suppression operation method. The proposed novel frosting suppression evaluation method is simple and easy to implement, which could contribute to further guiding manufacturers to improve the frosting suppression performance of VS ASHPs.
Keyword ：
Evaluation method Evaluation method Variable speed Variable speed performance performance Frosting suppression performance map Frosting suppression performance map Evaluating the frosting suppression Evaluating the frosting suppression Air source heat pump Air source heat pump
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| GB/T 7714 | Lin, Yao , Luo, Jianfei , Luo, Qing et al. Evaluation method and enhanced strategy for frosting suppression performance of variable speed air source heat pump based on frosting suppression performance map [J]. | ENERGY AND BUILDINGS , 2024 , 325 . |
| MLA | Lin, Yao et al. "Evaluation method and enhanced strategy for frosting suppression performance of variable speed air source heat pump based on frosting suppression performance map" . | ENERGY AND BUILDINGS 325 (2024) . |
| APA | Lin, Yao , Luo, Jianfei , Luo, Qing , Li, Xiaoli , Wang, Wei , Sun, Yuying . Evaluation method and enhanced strategy for frosting suppression performance of variable speed air source heat pump based on frosting suppression performance map . | ENERGY AND BUILDINGS , 2024 , 325 . |
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