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Rising basin pressure drove the evolution of lake water ecosystems in cold and arid region: A diatom based analysis of three lakes in Inner Mongolia, China

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Ecological Indicators 2025年 176卷

作者： Qiuying Chen Rui Xue Ying Guo Xiuzhong Li Zhaokui Ni Hao Zhang Shengrui Wang North China Institute of Science and Technology School of Chemical Safety Langfang Hebei Province 065201 China Hebei Province Key Laboratory of Hazardous Chemical Safety and Control Technology Langfang Hebei Province 065201 China Zhuhai Branch of State Key Laboratory of Earth Surface Processes and Resource Ecology Advanced Institute of Natural Sciences Beijing Normal University at Zhuhai 519087 China Engineering Research Center of Ministry of Education on Groundwater Pollution Control and Remediation College of Water Sciences Beijing Normal University Beijing 100875 China

The water ecological environment of lakes in cold and arid regions is sensitive and fragile, with unclear historical driving factors of water ecosystem degradation. This study focused on Hulun Lake, Daihai Lake and Wuliangsuhai Lake in Inner Mongolia, China. Diatoms in sediment cores were utilized to understand their community changes over the past century. The relationship between basin pressures and diatom community structure was analyzed using redundancy analysis. The results indicated that the lakes experienced a transition from healthy aquatic vegetation growth to ecological degradation. Basin pressure from construction, livestock production, and population, along with climate factors like air temperature and evaporation, influenced the evolution of the diatom community structure. Urbanization and climate change exacerbated the degradation of lake water ecosystems. In recent years, urban-related human activities introduced new stressors, further altering diatom communities and aquatic ecosystems. Rising basin pressure has driven the evolution of aquatic ecosystems of the three lakes. These findings emphasize the crucial role of basin pressure in shaping lake ecosystems. Thus, in lake water environment management in cold and arid region, controlling watershed pressures like rational industrial planning and population growth regulation should be prioritized to foster ecosystem sustainability. This also has implications for integrated strategies to address climate change and human impacts, ensuring long-term sustainable development.

关键词： Lakes Aquatic ecology Sediments Diatoms Lake Basin Pressure (LBP) Climate change

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Leader selection in multi-agent networks with switching topologies via submodular optimization

arXiv

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arXiv 2019年

作者： Chen, Kaile He, Wangli Tang, Yang Zhang, Wenle Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China

In leader-follower multi-agent networks with switching topologies, choosing a subset of agents as leaders is a critical step to achieve desired performances. In this paper, we concentrate on the problem of selecting a minimum-size set of leaders that ensure the tracking of a reference signal in a high-order linear multi-agent network with a set of given topology-dependent dwell time (TDDT). First, we derive a sufficient condition that guarantees the states of all agents converging to an expected state trajectory. Second, by exploiting submodular optimization method, we formulate the problem of identifying a minimal leader set which satisfies the proposed sufficient condition. Third, we present an algorithm with the provable optimality bound to solve the formulated problem. Finally, several numerical examples are provided to verify the effectiveness of the designed selection scheme. Copyright © 2019, The Authors. All rights reserved.

关键词： Topology

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Anti-windup Disturbance Rejection control Design for Sampled Systems with Output Delay and Asymmetric Actuator Saturation Constraint ⁎

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IFAC-PapersOnLine 2020年第2期53卷 1349-1354页

作者： Xinpeng Geng Zhencai Wang Shoulin Hao Tao Liu Zoltan Kalman Nagy Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian 116024 China Institute of Advanced Control Technology Dalian University of Technology Dalian 116024 China Davidson School of Chemical Engineering Purdue University West Lafayette Indiana 47907 United States

A novel anti-windup disturbance rejection control design is proposed for industrial sampled systems with output delay and asymmetric actuator saturation constraint. To deal with the asymmetric actuator saturation constraint as often encountered in engineering practice, the input constraint is equivalently transformed into a symmetric actuator saturation constraint for the convenience of control design. Based on the equivalent system description, a model-based extended state observer (MESO) is designed to simultaneously estimate the system state and disturbance, which becomes an anti-windup compensator when the actuator saturation occurs. In order to compensate for the delay mismatch in MESO, a generalized predictor is utilized to estimate the undelayed system output. Accordingly, a pole placement approach is given to design the feedback controller. A set-point pre-filter is designed to ensure no steady-state output tracking error, in terms of a desired transfer function for the set-point tracking. Based on the delay-dependent sector condition and generalized free-weighting-matrix (GFWM), a sufficient condition guaranteeing the stability of the closed-loop system is established in terms of linear matrix inequalities (LMIs). An illustrative example from the literature is used to demonstrate the effectiveness and advantage of the proposed control method.

关键词： Sampled systems Asymmetric actuator saturation Output delay Anti-windup design Extended state observer (ESO)

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A hybrid specific index-related process monitoring strategy based on a novel two-step information extraction method

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Journal of Central South University 2018年第12期25卷 2896-2909页

作者： ZHAO Bo SONG Bing TAN Shuai SHI Hong-bo Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

A two-step information extraction method is presented to capture the specific index-related information more *** the first step,the overall process variables are separated into two sets based on Pearson correlation *** is process variables strongly related to the specific index and the other is process variables weakly related to the specific *** performing principal component analysis(PCA)on the two sets,the directions of latent variables have *** other words,the correlation between latent variables in the set with strong correlation and the specific index may become ***,the correlation between latent variables in the set with weak correlation and the specific index may be *** the second step,the two sets are further divided into a subset strongly related to the specific index and a subset weakly related to the specific index from the perspective of latent variables using Pearson correlation coefficient,*** subsets strongly related to the specific index form a new subspace related to the specific ***,a hybrid monitoring strategy based on predicted specific index using partial least squares(PLS)and T2statistics-based method is proposed for specific index-related process monitoring using comprehensive *** specific index reflects real-time information for the specific index.T2statistics are used to monitor specific index-related ***,the proposed method is applied to Tennessee Eastman(TE).The results indicate the effectiveness of the proposed method.

关键词： specific index hybrid monitoring strategy two-step information extraction subspace

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Finite-time Sliding Mode control Under Dynamic Event-triggered Scheme ⁎

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IFAC-PapersOnLine 2020年第2期53卷 5069-5074页

作者： Jiarui Li Yugang Niu Bei Chen The Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology) Ministry of Education and The Shanghai Institute of Intelligent Science and Technology (Tongji University) Shanghai China The School of Electric and Electronic Engineering Shanghai University of Engineering Science Shanghai 201620 China

In this work, we investigate the finite-time boundedness (FTB) problem for a class of continuous-time uncertain systems via sliding mode control (SMC) method. A dynamic event-triggered scheme is introduced to determine whether the measurement output will be transmitted. And then, a state observer is designed by means of the transmitted output information, based on which a sliding surface in the estimation space is construct. It is shown that the corresponding SMC law can drive the system trajectories onto the specified sliding surface in a finite (possibly short) time. Meanwhile, a partitioning strategy is introduced to analyze the FTB over both reaching phase and the sliding motion, respectively. Finally, a numerical simulation is given.

关键词： Sliding mode control finite-time boundedness event-triggered control external disturbance partitioning strategy

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Hybrid adaptive cuckoo algorithm based on local search strategy

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Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS 2019年第11期25卷 2788-2802页

作者： Zhang, Tao Wang, Xin Wang, Zhenlei Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Electrical & Electronic Experimental Teaching Center Shanghai Jiao Tong University Shanghai200240 China

To enhance the search accuracy and global convergence rate of Cuckoo Search (CS) algorithm, a Hybrid Adaptive Cuckoo algorithm based on Local search strategy (LHACS) was proposed. In this algorithm, a local population was randomly generated around each current solution, the local optimal solution was obtained by sine cosine operator and the current solution was replaced by local optimal solution, which had improved the local search accuracy actually. The adaptive discovery probability and factor of search step were substituted for the fixed ones in CS to enhance the global convergence speed of the algorithm. The experiment of 25 classical high-dimensional benchmark functions showed that the LHACS was superior to CS in convergence rate and search accuracy, and it was applied to engineering optimization design and 0-1 knapsack problems, which verified the validity of the algorithm. © 2019, Editorial Department of CIMS. All right reserved.

关键词： Optimal systems

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Switching control of Singularly Perturbed Uncertain Systems using Finite Frequency Strategy

Switching Control of Singularly Perturbed Uncertain Systems ...

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Asian control Conference

作者： Jing Xu Yugang Niu The Key Laboratory of Advanced Control and Optimization for Chemical Process East China University of Science and Technology

ISBN: (纸本)9781728102634

Based on the switching strategy, this paper presents an finite frequency formulation for the robust stabilization of singularly perturbed uncertain systems. An uncertain system is modeled as a parallel connection of a nominal system and an error system represented in the form of a linear parameter-varying system. A family of dynamic output feedback controllers are designed to enhance the robustness of the error system against finite frequency uncertainties over the operational region. A hysteresis switching is proposed to coordinate the candidate controllers. The proposed scheme is applied in the longitudinal control of an F16 aircraft to verify its effectiveness and merits.

关键词： Switches Frequency control Symmetric matrices Uncertain systems Uncertainty Actuators

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Specific index-related process monitoring using a two-step information extraction method 30

Specific index-related process monitoring using a two-step i...

引用

30th Chinese control and Decision Conference, CCDC 2018

作者： Zhao, Bo Song, Bing Tan, Shuai Shi, Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China

ISBN: (纸本)9781538612439

Specific index-related process monitoring covers a wide range of requirements from industrial production. At present, it is still a challenge to divide into the specific index-related information and the specific index-unrelated information more accurately. In this paper, a two-step information extraction method is presented to solve this problem. In the first step, the overall process variables are separated into a strongly related variable set and a weakly related variable set. In the second step, the two sets are further divided into a specific index-related subset and a specific index-unrelated subset, respectively. Two specific index-related subsets form a new subspace related to the specific index. Two specific index-unrelated subsets are combined into a specific index-unrelated subspace. Two T2 statistics are built in the specific index-related subspace and the specific index-unrelated subspace, respectively. Finally, the proposed method is applied for Tennessee Eastman (TE). The results indicate the effectiveness of the proposed method. © 2018 IEEE.

关键词： Indexes Information retrieval Monitoring Principal component analysis Correlation coefficient Correlation Fault detection

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Neighborhood Interval Observer Based Coordination control for Multi-agent Systems with Disturbances ⁎

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IFAC-PapersOnLine 2020年第2期53卷 10994-10999页

作者： Xiaoling Wang Guo-Ping Jiang Wen Yang Housheng Su Xiaofan Wang College of Automation Nanjing University of Posts and Telecommunications Nanjing 210023 China and also with Jiangsu Engineering Lab for IOT Intelligent Robots (IOTRobot) Nanjing 210023 China Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai 200237 China School of Artifcial Intelligence and Automation Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Luoyu Road 1037 Wuhan 430074 China Department of Automation Shanghai University Shanghai 200072 China

This paper focuses on multi-agent systems with uncertain disturbances, in which only the bounding functions on the disturbances and the bounds on the initial state of each agent are known. By designing a neighborhood interval observer for this kind of multi-agent system, the estimation of the sum of the relative state of each agent associated with itself and its neighbors is frstly realized. Then, on the basis of these estimated information, local control algorithm is designed to drive the system to achieve bounded consensus.

关键词： Multi-agent system disturbance neighborhood interval observer bounded consensus

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Improved RCSP and AdaBoost-based classification for Motor-Imagery BCI

Improved RCSP and AdaBoost-based classification for Motor-Im...

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IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications

作者： Yangyang Miao Feiyu Yin Cili Zuo Xingyu Wang Jing Jin Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai P. R. China

ISBN: (数字)9781538683446

ISBN: (纸本)9781538683453

One of the popular feature extraction algorithms for motor imagery (MI)-based brain-computer interface (BCI) is common spatial pattern (CSP). However, CSP is also very susceptive to the selection of the filter bands, the time windows, and the channels. In this paper, we proposed a novel regularized CSP (RCSP) method to optimize feature extraction in MI-BCI. Then, a robust classifier based on AdaBoost algorithm was presented to perform the classification of MI tasks. Finally, the framework was verified on two public BCI datasets (dataset 1 from the BCI Competition IV and dataset IVa from BCI Competition III). The results suggest the proposed approach achieved superior performance compared with classical CSP and other competing methods. Overall, this method not only improved classification performance, but also reduced the data requirements of other subjects.

关键词： Feature extraction Covariance matrices Support vector machines Electroencephalography Classification algorithms Matrix decomposition optimization

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