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Dynamic Adaptive Event-Triggered Scheme for General Linear Multi-Agent Systems ⁎

IFAC-PapersOnLine 2020年第2期53卷 1789-1794页

作者： Wenying Xu Daniel W.C. Ho Wangli He School of Mathematics Southeast University Nanjing 21189 China Potsdam Institute for Climate Impact Research 14412 Potsdam Germany Department of Mathematics City University of Hong Kong Hong Kong. Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

This paper proposes a novel dynamic adaptive event-triggered scheme to deal with consensus problems in a class of general linear multi-agent systems. Firstly, a fully distributed event-triggered consensus protocol is proposed by assigning a time-varying coupling weight for each edge. Then by introducing an additional internal dynamic variable, a dynamic adaptive event condition is skillfully constructed and Zeno behavior is also successfully excluded. Based on this, the asymptotic consensus is eventually achieved and the frequency of communication among agents is significantly reduced. Finally, one simulation example is provided to verify the effectiveness of the proposed scheme.

关键词： Consensus event-triggered multi-agent system adaptive control

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Data-Driven Model Predictive Monitoring for Dynamic processes

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IFAC-PapersOnLine 2020年第2期53卷 98-103页

作者： Qingchao Jiang Huaikuan Yi Xuefeng Yan Xinmin Zhang Jian Huang Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai 200237 P.R. China Department of Control Science and Engineering Zhejiang University Hangzhou 310027 P.R. China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 P.R. China

Process monitoring plays an important role in maintaining favorable process operation conditions and is gaining increasing attention in both academic community and industrial applications. This paper proposes a data-driven model predictive fault detection method to achieve efficient monitoring of dynamic processes. First, a measurement sample is projected into a dominant latent variable subspace that captures main variance of the process data and a residual subspace. Then the dominant latent variable subspace is further decomposed as a dynamic feature subspace and a static feature subspace. A fault detection residual is generated in each subspace, and corresponding monitoring statistic is established. By using the model predictive monitoring scheme, not only the status of a process but also the type of a detected fault, namely a dynamic feature fault or a static feature fault, can be identified. Effectiveness of the proposed data-driven model predictive monitoring scheme is tested on a lab-scale distillation process.

关键词： Model predictive process monitoring data-driven process monitoring dynamic processes canonical correlation analysis fault detection

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Fuzzy H∞Sliding Mode control of Persistent Dwell-Time Switched Nonlinear Systems

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IEEE Transactions on Fuzzy Systems 2022年第12期30卷 5143-5151页

作者： Wang, Jing Wang, Haitao Yan, Huaicheng Wang, Yueying Shen, Hao Anhui University of Technology AnHui Province Key Laboratory of Special Heavy Load Robot The School of Electrical and Information Engineering Ma'anshan243032 China East China University of Science and Technology School of Information Science and Engineering Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Shanghai200237 China Shanghai University School of Mechatronic Engineering and Automation Shanghai201620 China

In this article, the fuzzy H∞ sliding mode control problem for continuous-time switched nonlinear systems is investigated. The switching signal conforms to the persistent dwell-time switching mechanism. The first objective of this article is to construct a switched integral sliding surface that not only accommodates the switched nonlinear model, but ensures that the sliding mode dynamics are globally uniformly exponentially stable and have an H∞ performance by the equivalent controller derived from the sliding surface. Another aim is to integrate the switched sliding mode control law to force the system trajectories to the sliding surface in a finite amount of time. Then, on the basis of the Lyapunov function technique, the specific form of the sliding mode control law gains is given first, and later the finite-time reachability of the sliding surface is ensured. Finally, the validity of the proposed switched sliding mode control method is validated by a numerical example. © 1993-2012 IEEE.

关键词： Nonlinear systems

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Synchronization of nonlinear coupled networks with time-delay via distributed impulsive control

Synchronization of nonlinear coupled networks with time-dela...

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Chinese control Conference (CCC)

作者： Hao Zhang Gang Feng Huaicheng Yan Qijun Chen Department of Control Science and Engineering Tongji University Shanghai 200092 China Department of Mechanical & Biomedical Engineering City University of Hong Kong Hong Kong Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education School of Information Science and Engineering East China University of Science and Technology Shanghai 200237 China

In this paper, the synchronization of a nonlinear network with time-varying coupling delay is investigated via distributed impulsive control. Our objective is to design the distributed impulsive controller with minimum coupling strength such that the nonlinear network with coupling delay is globally exponentially synchronous. Some sufficient conditions have been derived based on Lyapunov-Razumikhin method in terms of matrix inequalities. An example is presented to illustrate the effectiveness of the proposed control methods.

关键词： Couplings Synchronization Oscillators Linear matrix inequalities Delays Network topology Topology

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Network design for distributed consensus estimation over heterogeneous sensor networks

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IFAC Proceedings Volumes 2014年第3期47卷 5550-5555页

作者： Wen Yang Ling Shi Ye Yuan Xiaofan Wang Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education Shanghai 200237 Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong P. R. China Department of Engineering University of Cambridge UK Department of Automation Shanghai Jiaotong University Shanghai 200240

This paper considers distributed estimation over heterogeneous sensor networks. We propose a distributed estimation strategy based on PageRank algorithm, where the link weight depends on the edge estimation covariances. We prove that the proposed estimator obtains better estimates than one typical estimator under identical initial conditions. Motivated by the advantage of the sensors with high accuracy locating at important positions, we propose an optimal sensor deployment strategy to arrange locations for sensors in a given physical network. Numerical examples are provided to demonstrate the effectiveness of the proposed estimator, showing a better performance under the optimal sensor deployment.

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Synchronization in complex networks and its application - A survey of recent advances and challenges

Synchronization in complex networks and its application - A ...

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作者： Tang, Yang Qian, Feng Gao, Huijun Kurths, Jürgen Potsdam Institute for Climate Impact Research Potsdam14473 Germany Institute of Physics Humboldt University of Berlin Berlin12489 Germany Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin150080 China Institute for Complex Systems and Mathematical Biology University of Aberdeen AberdeenAB24 3UE United Kingdom Department of Control Theory Nizhny Novgorod State University Gagarin Avenue 23 Nizhny Novgorod606950 Russia King Abdulaziz University Jeddah21589 Saudi Arabia

Complex networks have, in recent years, brought many innovative impacts to large-scale systems. However, great challenges also come forth due to distinct complex situations and imperative requirements in human life nowadays. This paper attempts to present an overview of recent progress of synchronization of complex dynamical networks and its applications. We focus on robustness of synchronization, controllability and observability of complex networks and synchronization of multiplex networks. Then, we review several applications of synchronization in complex networks, especially in neuroscience and power grids. The present limitations are summarized and future trends are explored and tentatively highlighted. © 2014 Elsevier Ltd. All rights reserved.

关键词： Synchronization

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BCI-based strategies on stroke rehabilitation with avatar and FES feedback

arXiv

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arXiv 2018年

作者： Qiu, Zhaoyang Chen, Shugeng Allison, Brendan Z. Jia, Jie Wang, Xingyu Jin, Jing Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China Department of Neurology Huashan hospital Fudan University Shanghai China Department of Cognitive Science University of California at San Diego San DiegoCA United States

Background: Stroke is the leading cause of serious and long-term disability worldwide. Survivors may recover some motor function after rehabilitation therapy. Some studies have shown that motor imagery (MI) based BCI has a positive effect in poststroke rehabilitation. It could help patients promote the reorganization processes in the damaged brain regions. However, offline motor imagery and conventional online motor imagery with feedback (such as rewarding sounds and movements of an avatar) could not reflect the true intention of the patients. Method: In this study, both virtual limbs and functional electrical stimulation (FES) were used as feedback to provide patients a closed-loop sensorimotor integration for motor rehabilitation. Motor imagery based BCI system acquired, analyzed and recognized the EEG data of motor imagery from patients. The FES system would activate if the user was imagining hand movement of instructed side. Ten stroke patients (7 male, aged 22-70 years, mean 49.5±15.1) were involved in this study. All of them participated in BCI-FES rehabilitation training for 4 weeks. Results: The average motor imagery accuracies of the ten patients in the last week were 71.3%, which has improved 3% than that in the first week. Five patients' Fugl-Meyer Assessment (FMA) scores have been raised. Patient 6, who has have suffered from stroke over two years, achieved the greatest improvement after rehabilitation training (pre FMA: 20, post FMA: 35). In the aspect of brain patterns, the active patterns of the five patients gradually became centralized and shifted to sensorimotor areas (channel C3 and C4) and premotor area (channel FC3 and FC4). Conclusions: In this study, motor imagery based BCI and FES system were combined to provided stoke patients with a closed-loop sensorimotor integration for motor rehabilitation. Result showed evidences that the BCI-FES system is effective in restoring upper extremities motor function in stroke. In future work, more cases are

关键词： Brain computer interface

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Agricultural Lignocellulose Biochar Material in Wastewater Treatment: A Critical Review and Sustainability Assessment

Environmental Functional Materials

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Environmental Functional Materials 2025年

作者： Aqib Zahoor Xiao Liu Yuxin Liu Shengyong Liu Wang Yi Shahdev Sajnani Lingyu Tai Nadeem Tahir Boré Abdoulaye Mahaveer Yuan Liu Zia ur Rahman Martina Damizia Benedetta de Caprariis International Joint Research Center for the Control and Prevention of Environmental Pollution on Tropical lslands of Hainan Province Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province School of Environmental Science and Engineering Hainan University Haikou 570228 P. R. China Collaborative Innovation Center of Biomass Energy Henan Agricultural University Zhengzhou 450002 School of Environmental Science and Engineering Tianjin University Tianjin 300350 P. R. China Faculty of Civil and Environmental Engineering Gdańsk University of Technology ul. Narutowicza 11/12 80-233 Gdańsk Poland Interdisciplinary Research Center for Refining and Advanced Chemicals King Fahd University of Petroleum & Minerals Dhahran 31261 Saudi Arabia Department of Chemical Engineering Materials and Environment Sapienza University of Rome Via Eudossiana 18 00184 Rome Italy

Globally, roughly 380 trillion liters of wastewater are generated annually, with a significant portion remaining untreated due to expensive treatment and lack of expertise, consequently, leading severe environmental and public health problems. This research aims to identify the most environmentally sustainable and eco-friendly approach to wastewater treatment. Results shows that, agricultural lignocellulose-based biomass (ALCB) biochar is highly effective for wastewater treatment due to its abundance, cost-effectiveness, and excellent adsorption properties. The ability of sustaining high carbon content makes it a valuable carbon sink beneficial for the carbon reduction. Annually, ALCB is widely available as a byproduct in developing countries like China 716 (million tons) Mt, India 605 Mt, Brazil 451 Mt, Pakistan 285 Mt as well as in developed regions U.S.A 682 Mt, and Europe 580 Mt. Pyrolysis, gasification, and torrefaction are mostly used methods for ALCB biochar production. Physicochemical properties including surface area, porosity, functional groups, pH, and elemental composition notably affected by production methods, feedstock types and reactor designs determine the adsorption performance and environmental safety of ALCB biochar. The adsorption mechanisms of the organic and inorganic pollutant on biochar are ion exchange, complexation, electrostatic attraction, pore-filings, and physical adsorption, etc. LCA assessment revealed that the utilization of ALCB biochar on wastewater treatment offers several economic, environmental, and educational benefits through the aspect of waste management, revenue generation, job creations, pollution control, trading and skill developments.

关键词： Agricultural lignocellulose-based biochar Pyrolysis Pollutant adsorption Sustainable water treatment Environmental and economic benefits

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Synchronization of Kuramoto Oscillators with Non-identical Natural Frequencies: a Quantum Dynamical Decoupling Approach

Synchronization of Kuramoto Oscillators with Non-identical N...

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IEEE Annual Conference on Decision and control

作者： Zhifei Zhang Alain Sarlette Zhihao Ling SYSTeMS research group Faculty of Engineering and Architecture Ghent University Technologiepark Zwijnaarde 914 9052 Zwijnaarde(Ghent) Belgium Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology No.130 Meilong Road Shanghai 200237 China

ISBN: (纸本)9781467360890

This paper proposes a method to counter the drift associated to unknown non-identical natural frequencies in the Kuramoto model of coupled oscillators. Inspired by the quantum dynamical decoupling technique, it builds on a time-varying variant of the dynamics to effectively bring the oscillator phases closer to the same value. This allows effective synchronization despite arbitrarily large differences in natural frequencies. For two agents admitting instantaneous position exchanges, we exactly compute how the relative phase converges to a stable periodic fixed point. The latter tends to zero when the dynamics switches at a faster rate. With continuous state evolutions, using a related dynamic controller instead of instantaneous jumps, we show with a Lyapunov function that exact phase synchronization is obtained. We generalize the method to multiple oscillators with instantaneous state exchanges, that can be implemented by cycling through a predefined or random sequence of exchanges. Simulation results illustrate the effectiveness of the algorithms.

关键词： Natural frequencies Oscillators DECOUPLING phase synchronization coupled oscillators dynamics quanta

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$\mathcal {H}_{\infty }$ State Estimation for PDT-Switched Coupled Neural Networks Under Round-Robin Protocol: A Cooperation-Competition-Based Mechanism

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IEEE Transactions on Network Science and Engineering 2022年第2期10卷 911-921页

作者： Hao Shen Yinsheng Song Jing Wang Ju H. Park AnHui Province Key Laboratory of Special Heavy Load Robot Anhui University of Technology Ma'anshan China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China School of Electrical and Information Engineering Anhui University of Technology Ma'anshan China School of Information Science and Engineering East China University of Science and Technology Shanghai China Department of Electrical Engineering Yeungnam University Kyongsan Republic of Korea

This paper is concentrated on the $\mathcal {H_{\infty }}$ state estimation problem for switched coupled neural networks based on a Takagi-Sugeno fuzzy model. Notably, the time-variant network topology with alternate fast switchings and slow ones is described suitably by a persistent dwell-time rule, and the interactive dynamics with both cooperative properties and antagonistic ones among nodes are featured comprehensively by the switching signed graph. In view of the communication pressures brought by network-induced problems and the requirements in digital control, the round-robin protocol and logarithmic quantization are flexibly integrated for more transmission efficiency and fewer data collisions. Thereafter, by utilizing a relaxed multiple Lyapunov function method and some novel matrix process techniques, sufficient criteria guaranteeing the exponential stability in a globally uniform sense with a prescribed $\mathcal {H_{\infty }}$ performance level of the estimation error system are established. Finally, the synthesized analysis of the proposed method is presented with an illustrative example.

关键词： Switches Topology Switching circuits Protocols Neurons State estimation Quantization (signal)

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