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Model-Based Event-Triggered control of Switched Discrete-Time systems

Model-Based Event-Triggered Control of Switched Discrete-Tim...

引用

ieee international conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Lihou Cai Tai-Fang Li Jin Zhu College of Control Science and Engineering Bohai University Jinzhou P. R. China College of Mathematics and Science Bohai University Jinzhou P. R. China

In this paper, we study model-based event-triggered control (MB-ETC) for a kind of switched discrete-time systems composed of stabilizable and unstabilizable subsystems. A nominal dynamic model is constructed at the feedback control part so that it can provide an estimate of the system state for system input even the overall switched discrete-time system is running in open-loop. Since the information provided to the model is transmitted over the network, an event-triggered mechanism (ETM) is taken into account to reduce network data transmission. Stability conditions for the augmented closed-loop system are derived by using multi-Lyapunov function method and average dwell time (ADT) switching strategy and given in linear matrix inequality form. We also give the design of control gains. Finally, a numerical example is provided to verify the validity of the proposed method.

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Fault Estimation and Fault-Tolerant control of Nonlinear systems with Polynomial Faults

Fault Estimation and Fault-Tolerant Control of Nonlinear Sys...

引用

ieee international conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Ying Pan Yang Lu Xiangyong Chen Guochen Pang Linyi Radio Technology Assurance Center Linyi China College of Automation and Electrical Engineering Linyi University Linyi China

In this paper, the issue of fault estimation and fault tolerant control(FTC) of non-linear systems on the basis of event-triggered strategies is studied. the fault dynamics is designed as a case of a known polynomial function that can be represented as a function of time. the use of an event-triggered communication mechanism allows the sampled output to be transported across the network only when the given trigger condition is satisfied, thus greatly saving network communication resources. A fault estimation observer is devised to simultaneously evaluate the system state and fault signals without considering time-varying network communication delays, providing a basis for designing fault-tolerant controllers. Build a fault-tolerant controller based on estimated signals of state and fault from observers to maintain the stability and performance of the system under fault conditions. Finally, the feasibility of the presented approach is illustrated by a simulation experiment.

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Extremum Seeking for Single-Variable Static Map with Measurement Noise via A Time-Delay Approach

Extremum Seeking for Single-Variable Static Map with Measure...

引用

ieee international conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Bowen Zhao Xuefei Yang Emilia Fridman Bin Zhou Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China School of Electrical Engineering Tel-Aviv University Israel

In this article, we introduce a time-delay approach to extremum seeking (ES) for scalar static quadratic maps with measurement noise. the approach involves transforming the ES system into a time-delay neutral type system with stochastic perturbations, which guarantees the stability of the original ES system. Using a Lyapunov-Krasovskii (L-K) method, explicit conditions are established for the mean-square ultimate boundedness of the ES control systems. these conditions are expressed in terms of LMIs and depend on the intensity of measurement noise, tuning parameters, and a known arbitrarily large constant $L$ that bounds the 6th moment of the estimation error. Compared to existing results for ES with measurement noise obtained via qualitative analysis, our approach provides a quantitative analysis via a time-delay approach to averaging. A numerical example is provided to illustrate the efficiency of the proposed method.

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Stability Analysis and Impulsive controller Design for Positive Interval Type-2 Polynomial Fuzzy systems with Input Saturation

Stability Analysis and Impulsive Controller Design for Posit...

引用

ieee international conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Meng Han Yongjie Huang Ge Guo Zhengsong Wang School of Control Engineering Northeastern University at Qinhuangdao Qinhuang-dao China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China

this paper designs an impulsive controller for nonlinear positive systems with uncertain parameters and input saturation constraints. To address the issue of modeling errors caused by parameter uncertainties, system modeling is done using an interval type-2 (IT2) polynomial fuzzy model. Also, a premise mismatched controller design strategy is employed to improve controller design flexibility. In addition, to attenuate the conservatism of the analytical results, a novel impulse-time-dependent discretized polynomial copositive Lyapunov function (IDDPCLF) is employed, and the obtained non-convex resultant conditions are handled by the proposed convexification method. Finally, the usefulness of the impulsive controller design approach and the convexification method are verified through an example.

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Cognitive Adaptive Access-control system for a Secure Locator/Identifier Separation Context

Cognitive Adaptive Access-Control System for a Secure Locato...

引用

ieee international conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Yuanlong Cao Jianfeng Guan Changqiao Xu Wei Quan Hongke Zhang State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China National Engineering Laboratory for Next Generation Internet Interconnection Devices Beijing Jiaotong University Beijing China

ISBN: (纸本)9781479965144

As a promising solution to the scalability issue of the current routing infrastructure, locator/identifier separation has gained variety of attentions and resulted in thousands of peer-reviewed publications. However, there is still significant ongoing work addressing many challenges of the secure Locator/Identifier Separation Context (LISC). In this paper, we propose a novel Cognitive Adaptive Access-control solution (CAAC) for a secure LISC with three modules, which are Tag-aware Access-control module (TAC) that devotes to generate user tag (UTag) and service tag (STag) by cognizing their natural and dynamic attributes, Adaptive Policy Generation paradigm (APG) that serves to select proper policy instance for adaptive and intelligent access control, and Cooperative Decision Making module (CDM) that contributes to provide efficient decision-making by multi-peer parallel cooperation. We implement the designed CAAC in our identifier-based network platform to verify its advantages.

关键词： Context Adaptive systems Decision making Routing Access control Peer-to-peer computing

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the Development of Bluetooth Speakers with Independent control for the Intervals Training of Aural Skills 13th

The Development of Bluetooth Speakers with Independent Contr...

引用

13th international conference on Frontier computing, FC 2023

作者： Huang, Yu Ting Chu, Chi Nung Department of Music Shih Chien University No. 70 Ta-Chih Street Chung-Shan District Taipei Taiwan Department of Management of Information System China University of Technology No. 56 Sec. 3 Shinglung Rd. Wenshan Chiu Taipei116 Taiwan

ISBN: (纸本)9789819994151

this research paper presents a mobile learning system designed to facilitate music intervals training using Bluetooth speakers. the system aims to leverage the advantages of mobile learning, such as portability and flexibility, to enhance the learning experience for learners in music intervals. the paper introduces the system development strategy, emphasizing the importance of auditory perception in music learning and the application of Bluetooth technology in wireless communication. the system employs Bluetooth speakers with independent control to provide learners with aural training in music intervals. the interface design, implemented using App Inventor, offers an intuitive and user-friendly environment for learners to practice and customize their learning experience. Various educational features, including quizzes, flashcards, interactive lessons, and multimedia content, are integrated into the system to create engaging and immersive learning experiences. To evaluate the effectiveness of the system, a pilot study involving 50 users was conducted. the study assessed user satisfaction with the interface design and learning functions through quantitative ratings and qualitative feedback. the results demonstrated high levels of satisfaction with the interface design and the effectiveness of the learning tools. Valuable insights from the study, including the need for customization options, collaborative features, and personalized learning recommendations, were obtained and used to provide recommendations for system enhancements. the research concludes that the mobile learning system, utilizing a client-server architecture with Bluetooth technology, offers a user-centric and effective platform for music intervals training. By incorporating the recommendations from the pilot study, the system can evolve to better cater to individual learning needs and provide a more personalized and adaptive learning experience. © 2024, the Author(s), under exclusive license to Springe

关键词： Bluetooth

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Research and Application of control Algorithm Based on Intelligent Traveling Crane

Research and Application of Control Algorithm Based on Intel...

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ieee international conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Lisang Liu Youyuan Zhang Jionghui Chen Jiayu Chen School of Electronic Electrical Engineering and Physics Fujian University of Technology Fuzhou China Fujian Province Industrial Integrated Automation Industry Technology Development Base Fuzhou China

the industrial crane is an important tool and equipment for modern industrial production and lifting transportation to realize the automation of the production process as well as mechanization, however, it is vulnerable to environmental disturbances such as transporting heavy objects, which would cause the crane running operation unstable and swaying. In order to improve the running stability of the traveling crane, this paper needles on the basis of the traditional PID control algorithm proposes fuzzy PID and BP-PID two improved intelligent PID control algorithms. By comparing and analyzing the simulation results among traditional PID, fuzzy PID and BP-PID, the two intelligent control algorithms, fuzzy PID and BP-PID, are approved not only can overcome the system disturbance effectively but also have faster dynamic response speed. the BP-PID has best stability and anti-interference.

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An Accelerated ADMM for Distributed DC Optimal Power Flow

An Accelerated ADMM for Distributed DC Optimal Power Flow

引用

ieee international conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Yaoshuai Yang Youqing Hua Shuai Liu Peng Liu Ruiqi Ding Zuang Wang Department of School of Control Science and Engineering Shandong University Jinan China

this paper investigates the distributed DC optimal power flow (OPF) problem with carbon emission trading. In recent years, the alternating direction method of multipliers (ADMM) has been used to solve the optimal power flow problem. Compared with other classical distributed gradient algorithms, the ADMM-based algorithm has faster convergence speed, but it requires a large amount of computation, especially for systems with complex structures and high dimensions. therefore, we propose a method that uses gradient steps in each ADMM iteration to reduce computation time and cost while ensuring fast convergence. We verify our proposed method by considering carbon emission trading (CET) in the standard ieee 30 bus system. Our convergence results show that, under the assumption of problem convexity, the computational complexity and convergence performance of our method are significantly lower than those of the standard ADMM-based distributed optimization algorithm.

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Agent-Based Traffic control: a Fuzzy Q-Learning Approach

Agent-Based Traffic Control: a Fuzzy Q-Learning Approach

引用

international conference on Intelligent Transportation

作者： Juan C. Pacheco Rosaldo J. F. Rossetti Department of Electronic Automation and Design La Salle University Bogota Colombia Artificial Intelligence and Computer Science Laboratory and the Department of Informatics Engineering FEUP University of Porta Porto Portugal

Network modelling and simulation is an important approach to implement effective traffic control strategies and management policies for urban mobility. With much advance in communication and information technologies, and as ubiquitous computing becomes part of most people's lives, both infrastructure and user experiment a new dimension of their relationship that demands for a proper behaviour from control and management systems. In this paper we use the autonomous agent metaphor to implement intelligent control through a fuzzy Q-learning approach. the controller decision-making mechanisms and some preliminary simulation experiments are set up so as to assess the feasibility of our model to cope with urban traffic coordination and management.

关键词： Markov processes Biological system modeling Mathematical model Traffic control Adaptation model Equations

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Digital-Twin-Based Clock Synchronization in Industrial IoT systems

Digital-Twin-Based Clock Synchronization in Industrial IoT S...

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ieee international conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Ting Cheng Shuai Liu Qimin Xu Shanying Zhu Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China School of Control Science and Engineering Shandong University Jinan China

Close and efficient cooperation between devices in the Industrial Internet of things (IIoT) requires precise clock synchronization as a prerequisite. the uncertainty of IIoT networks and the complexity of industrial environments have led to less precise clock synchronization achieved by traditional algorithms and higher network resource consumption. this paper proposes a digital-twin-based clock synchronization scheme for IIoT systems. By building the digital model for each local clock to predict their clock skew, the information interaction required to achieve synchronization is reduced. In order to model the clock accurately, this paper proposes to use the extended state Kalman filter to handle uncertain dynamics and unknown measurement bias to improve the estimation accuracy of clock skew further. the simulation results show that the proposed algorithm can achieve high- precision clock synchronization while reducing the consumption of network resources.

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