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Risk-Aware MPC for Stochastic systems with Runtime Temporal Logics

IFAC-PapersOnLine 2024年第11期58卷 93-98页

作者： M.H.W. Engelaar Z. Zhang M. Lazar S. Haesaert Department of Electrical Engineering (Control Systems Group) Eindhoven University of Technology The Netherlands

This paper concerns the risk-aware control of stochastic systems with temporal logic specifications dynamically assigned during runtime. Conventional risk-aware control typically assumes that all specifications are predefined and remain unchanged during runtime. In this paper, we propose a novel, provably correct model predictive control scheme for linear systems with additive unbounded stochastic disturbances that dynamically evaluates the feasibility of runtime signal temporal logic specifications and automatically reschedules the control inputs accordingly. The control method guarantees the probabilistic satisfaction of newly accepted specifications without sacrificing the satisfaction of the previously accepted ones. The proposed control method is validated by a robotic motion planning case study.

关键词： Linear stochastic systems Probabilistic constraints Real-time control Stochastic model predictive control Temporal logic

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SYSDYNET - A MATLAB App and Toolbox for Dynamic Network Identification ⁎ , ⁎⁎

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IFAC-PapersOnLine 2024年第15期58卷 574-579页

作者： Paul M.J. Van den Hof Shengling Shi Harm H.M. Weerts Xiaodong Cheng Karthik R. Ramaswamy Arne G. Dankers H.J. (Mannes) Dreef Stefanie J.M. Fonken Tom R.V. Steentjes Job B.T. Meijer Control Systems Group Department of Electrical Engineering Eindhoven University of Technology The Netherlands

Identification in interconnected systems requires the handling of phenomena that go beyond the classical open-loop and closed-loop type of identification problems. Over the last decade a comprehensive theory has been developed for addressing identification problems in linear dynamic networks, formulated in a module framework, where the network structure is characterized by a directed graph in which nodes are signals and links are transfer functions. The resulting methods and approaches have been collected in a MATLAB App and Toolbox, supported by an attractive graphical user interface that provides an interactive workflow for manipulating the structural properties of dynamic networks, applying basic network operations like immersion and module invariance testing, and for investigating network/module generic identifiability and selecting appropriate predictor model inputs and outputs. The workflow supports the allocation of external excitation signals (actuation) and measured node signals (sensing) so as to achieve generic identifiability and provide consistent estimation of target modules. The Toolbox includes algorithms for actual network simulation and identification.

关键词： System identification identifiability dynamic networks interconnected systems

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A simulation research method for data injection attacks on DC microgrids

A simulation research method for data injection attacks on D...

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2024 China Automation Congress, CAC 2024

作者： Hou, Yunhui Liu, Mengxiang Shen, Na National Key Laboratory of Transient Physics Nanjing University of Science and Technology Nanjing China Department of Automatic Control and Systems Engineering University of Sheffield Western Bank Sheffield United Kingdom

ISBN: (纸本)9798350368604

By using Typhoon HIL simulator, a simulation research method of data injection attack against secondary control DC microgrid is established, which reveals the important influence of the attack function on the effectiveness and covertness of the attack. Firstly, a decentralized four-node DC microgrid system using TCP/IP Modbus protocol for communication is built in Typhoon HIL simulator, then, a microgrid security testing experimental platform based on the man-in-the-middle attack as a network attack method is built in Kali Linux system, which can carry out timed single- and multilinks data injection attacks and replay attack on the above four-node DC microgrid. The paper designs a variety of data injection attack schemes to study the impact of data injection attacks on voltage and current control in this DC microgrid, including single-link attack, multi-link composite attack, and replay attack using different attack functions. By controlling the main parameters of the attack function, the amplitude of the fluctuation of the output voltage generated by the attack can be controlled, which can produce a more covert and effective attack effect. © 2024 IEEE.

关键词： DC microgrids False data injection attack Man-in-the-middle attack Power grid cyber security Replay attack

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Reinforcement learning-based unknown reference tracking control of HMASs with nonidentical communication delays

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Science China(Information Sciences) 2023年第7期66卷 46-57页

作者： Yong XU Zheng-Guang WU Wei-Wei CHE Deyuan MENG School of Automation Beijing Institute of Technology Institute of Cyber-Systems and Control Zhejiang University College of Mathematics and Computer Science Zhejiang Normal University Department of Automation Qingdao University School of Automation Science and Electrical Engineering Beihang University(BUAA)

This paper focuses on the optimal output synchronization control problem of heterogeneous multiagent systems(HMASs) subject to nonidentical communication delays by a reinforcement learning *** with existing studies assuming that the precise model of the leader is globally or distributively accessible to all or some of the followers, the leader's precise dynamical model is entirely inaccessible to all the followers in this paper. A data-based learning algorithm is first proposed to reconstruct the leader's unknown system matrix online. A distributed predictor subject to communication delays is further devised to estimate the leader's state, where interaction delays are allowed to be nonidentical. Then, a learning-based local controller, together with a discounted performance function, is projected to reach the optimal output synchronization. Bellman equations and game algebraic Riccati equations are constructed to learn the optimal solution by developing a model-based reinforcement learning(RL) algorithm online without solving regulator equations, which is followed by a model-free off-policy RL algorithm to relax the requirement of all agents' dynamics faced by the model-based RL algorithm. The optimal tracking control of HMASs subject to unknown leader dynamics and communication delays is shown to be solvable under the proposed RL algorithms. Finally, the effectiveness of theoretical analysis is verified by numerical simulations.

关键词： heterogeneous multiagent systems HMAS reinforcement learning RL optimal output synchronization communication delays

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Hydrodynamic and Static Stability Analysis of a Hybrid Offshore Wind-Wave Energy Generation: An Expansion of Semisubmersible Floating Wind Turbine Concept 15th

Hydrodynamic and Static Stability Analysis of a Hybrid Offsh...

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15th European Wave and Tidal Energy Conference, EWTEC 2023

作者： Aboutalebi, Payam Garrido, Aitor J. Garrido, Izaskun Nguyen, Dong Trong Gao, Zhen Department of Marine Technology Trondheim7491 Norway Automatic Control Group–ACG Institute of Research and Development of Processes–IIDP Department of Automatic Control and Systems Engineering Faculty of Engineering of Bilbao University of the Basque Country–UPV/EHU Spain School of Naval Architecture Ocean and Civil Engineering Shanghai Jiao Tong University Shanghai200240 China

Marine structures like Floating Wind Turbine (FWT) is exposed to the oncoming waves and wind that can cause oscillatory motions within the system. These undesired oscillations can have negative impacts on the efficiency of the system, reduce its lifespan, hinder energy extraction, increase stress levels, and raise maintenance costs. To mitigate these negative impacts, the integration of Wave Energy Converters (WECs) into the FWT system has been proposed. This hybrid system may be capable of extracting coupled wind-wave energy and transferring electrical power to the shared grid. This paper presents an investigation of the use of Oscillating Water Columns (OWCs), a type of WECs, within a FWT system. The purpose of using an OWC is to increase the hydrodynamic damping and reduce the resonant motions of the floating wind turbines under environmental loads, including both wind and wave loads. This is because the wave energy from OWC would be very small as compared to the wind energy. However, OWCs can provide a damping source for reducing the resonant motions of the floater, especially the pitch resonant motions. This would be very beneficial for the power performance of the floating w ind turbine and the structural design of the floater. T he p urpose of this paper is to redesign the original FWT platform to accommodate the additional OWCs by considering the hydrostatic stability and hydrodynamics since the new elements, the OWCs, can significantly change the response of the platform. The redesign of the original FWT involves the integration of OWCs within two out of three columns of an existing semisubmersible platform for a 12 MW FWT. To do this, two moonpools, which are consistent with OWC air chambers, have been created within two columns of the FWT. The water ballast was designed for the columns with and without OWCs. After that the redesign is done hydrostatic stability and hydrodynamics analyses are evaluated. The hydrodynamics properties are discussed in terms o

关键词： Tidal power

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Data-Driven control of Distributed Event-Triggered Network systems

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IEEE/CAA Journal of automatica Sinica 2023年第2期10卷 351-364页

作者： Xin Wang Jian Sun Gang Wang Frank Allgower Jie Chen the National Key Laboratory of Autonomous Intelligent Unmanned Systems School of AutomationBeijing Institute of TechnologyBeijing 100081 the Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China IEEE the Institute for Systems Theory and Automatic Control University of StuttgartStuttgart 70550Germany the Department of Control Science and Engineering Tongji UniversityShanghai 201804 the National Key Laboratory of Autonomous Intelligent Unmanned Systems Beijing Institute of TechnologyBeijing 100081China

The present paper deals with data-driven event-triggered control of a class of unknown discrete-time interconnected systems(*** systems).To this end,we start by putting forth a novel distributed event-triggering transmission strategy based on periodic sampling,under which a model-based stability criterion for the closed-loop network system is derived,by leveraging a discrete-time looped-functional *** the model-based criterion with a data-driven system representation recently developed in the literature,a purely data-driven stability criterion expressed in the form of linear matrix inequalities(LMIs)is ***,the data-driven stability criterion suggests a means for co-designing the event-triggering coefficient matrix and the feedback control gain matrix using only some offline collected state-input ***,numerical results corroborate the efficacy of the proposed distributed data-driven event-triggered network system(ETS)in cutting off data transmissions and the co-design procedure.

关键词： Data-driven control distributed event-triggered network system(ETS) linear matrix inequalitie(LMI) looped-functional stability

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Editorial:special issue on analysis and control of complex systems in honor of the 90th birthday of Professor Huashu Qin

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control Theory and Technology 2024年第3期22卷 343-344页

作者： Yiguang Hong Shengwei Mei Ping Yang Department of Control Science and Engineering Tongji UniversityShanghai200092China Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai200092China Department of Electrical Engineering and Applied Electronics Technology Tsinghua UniversityBeijing100084China School of Electric Power South China University of TechnologyGuangzhou510640GuangdongChina

It is our great pleasure to organize this special issue in control Theory and Technology in honor of the 90th birthday of Professor Huashu *** is one of the pioneers in control theory and applications in China,and has made many truly outstanding contributions to the field including nonlinear dynamics and control,intelligent control,robotics and complex *** is no surprise that she was selected as a representative introduced significantly in“Women in control”of IEEE control systems Magazine.

关键词： control honor analysis

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Weighted Fuzzy Rough Sets Feature Selection for High Dimensional Classification Problems

Weighted Fuzzy Rough Sets Feature Selection for High Dimensi...

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2024 IEEE International Conference on systems, Man, and Cybernetics, SMC 2024

作者： Khabusi, Simon Peter Huang, Yo-Ping Vu, Van Phong National Taipei University of Technology Department of Electrical Engineering Taipei10608 Taiwan National Penghu University of Science and Technology Department of Electrical Engineering Penghu88046 Taiwan Ho Chi Minh City University of Technology and Education Department of Automatic Control Ho Chi Minh City71300 Viet Nam

ISBN: (纸本)9781665410205

Feature selection holds significant importance in knowledge mining as it plays a pivotal role in selecting and preserving the most informative features within a dataset while discarding irrelevant, redundant, or noisy attributes. This process contributes to enhancing model performance, reducing computational complexity, and refining interpretability, thus facilitating more accurate and efficient data analysis. In high-dimensional datasets, the necessity for feature selection becomes more pronounced due to the heightened risk of encountering the curse of dimensionality. Therefore, this study proposes a weighted fuzzy rough quickreduct (FRQR) feature selection approach employing feature weights to handle the equal situation problem inherent in FRQR. The proposed method is evaluated on ten publicly available datasets with feature sizes ranging from 2000 to 15154. The selected features are used to train and test random forest candidate models whose estimates are then combined according to the posterior probabilities by Bayesian Model Averaging (BMA). The performance of the model on the selected features is evaluated on four performance metrics. The essentiality of the selected features is further determined by comparing the model classification performance achieved on the non-selected features and all the dataset features. The results indicate competitiveness in the performance metric values achieved on selected features over the other two feature categories affirming the efficacy of the proposed method. © 2024 IEEE.

关键词： Feature Selection

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Automated and controlled patch generation for enhanced fixing of communication software vulnerabilities

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Intelligent and Converged Networks 2024年第3期5卷 222-236页

作者： Shuo Feng Shuai Yuan Zhitao Guan Xiaojiang Du School of Control and Computer Engineering North China Electric Power UniversityBeijing 100029China Department of Finance Operationsand Information SystemsBrock UniversitySt.Catharines L2S3A1Canada Department of Electrical and Computer Engineering Stevens Institute of TechnologyHobokenNJ 07030USA

Software is a crucial component in the communication systems,and its security is of paramount ***,it is susceptible to different types of attacks due to potential ***,significant time and effort is required to fix such *** propose an automated program repair method based on controlled text generation ***,we utilize a fine-tuned language model for patch generation and introduce a discriminator to evaluate the generation process,selecting results that contribute most to vulnerability ***,we perform static syntax analysis to expedite the patch verification *** effectiveness of the proposed approach is validated using QuixBugs and Defects4J datasets,demonstrating significant improvements in generating correct patches compared to other existing methods.

关键词： automatic program repair controlled text generation communication software security program language model

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A Monitoring Strategy of Multi-Robot systems in Dynamic Environments: Coverage control and Density Estimation 11

A Monitoring Strategy of Multi-Robot Systems in Dynamic Envi...

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11th RSI International Conference on Robotics and Mechatronics, ICRoM 2023

作者： Kaviri, Samane Tahsiri, Ahmadreza Taghirad, Hamid D. K.N. Toosi University of Technology Faculty of Electrical Engineering Department Od Systems and Control Tehran Iran

ISBN: (纸本)9798350308105

A critical task in environmental monitoring is the reconstruction of the density function of an event over the mission region. In such tasks, Unmanned Aerial Vehicles (UAVs) are employed as spatially distributed mobile sensing agents. In this paper, we consider the cooperative coverage problem for a group of UAVs in the mission region with a time-varying density function. The density function is modeled by a Gaussian Mixture Model (GMM) with unknown parameters. By resorting to a consensus-based Expectation-Maximization (EM) approach, the GMM parameters are estimated based on the local observations of UAVs. Finally, the proposed strategy is applied to an offshore oil spill monitoring mission. The simulation results verify the theoretical results and demonstrate the competence of the proposed strategy for such applications. © 2023 IEEE.

关键词： Multipurpose robots

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