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MLD-MPC Approach for Three-Tank Hybrid Benchmark Problem

Computers, Materials & Continua 2023年第5期75卷 3657-3675页

作者： Hanen Yaakoubi Hegazy Rezk Mujahed Al-Dhaifallah Joseph Haggège Research Laboratory in Automatic Control(LARA) National Engineering School of Tunis(ENIT)University of Tunis El ManarTunis1002Tunisia Department of Electrical Engineering College of Engineering in Wadi AlddawasirPrince Sattam bin Abdulaziz UniversityWadi Alddawasir11911Saudi Arabia Control and Instrumentation Engineering Department King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia Interdisciplinary Research Center(IRC)for Renewable Energy and Power Systems King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia

The present paper aims at validating a Model Predictive control(MPC),based on the Mixed Logical Dynamical(MLD)model,for Hybrid Dynamic systems(HDSs)that explicitly involve continuous dynamics and discrete *** proposed benchmark system is a three-tank process,which is a typical case study of *** MLD-MPC controller is applied to the level control of the considered tank *** study is initially focused on the MLD approach that allows consideration of the interacting continuous dynamics with discrete events and includes the operating *** feature of MLD modeling is very advantageous when an MPC controller synthesis for the HDSs is *** the MLD model of the system is well-posed,then the MPC law synthesis can be developed based on the Mixed Integer Programming(MIP)optimization *** solving this MIP problem,a Branch and Bound(B&B)algorithm is proposed to determine the optimal control ***,a comparative study is carried out to illustrate the effectiveness of the proposed hybrid controller for the HDSs compared to the standard MPC *** results show that the MLD-MPC approach outperforms the standardMPCone that doesn’t consider the hybrid aspect of the *** paper also shows a behavioral test of the MLDMPC controller against disturbances deemed as liquid leaks from the *** results are very satisfactory and show that the tracking error is minimal less than 0.1%in nominal conditions and less than 0.6%in the presence of *** results confirm the success of the MLD-MPC approach for the control of the HDSs.

关键词： Hybrid dynamic system model predictive control mixed logical dynamical model mixed integer programming three-tank hybrid system

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Influence of Resonant Frequency on Power of the High-Voltage Transformer-Less Resonant Charger of Capacitive Energy Storage Device 7

Influence of Resonant Frequency on Power of the High-Voltage...

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7th IEEE International Conference on Smart Technologies in Power engineering and Electronics, STEE 2024

作者： Vinnychenko, Dmytro Nazarova, Natalia Vinnichenko, Irina Institute of Electrodynamics of the National Academy of Sciences of Ukraine Department of Technological Systems of Power Supply Kyiv Ukraine Institute of Pulse Processes and Technologies Department of Impulse Electrical Engineering Systems Mykolaiv Ukraine Admiral Makarov National University of Shipbuilding Department of Computerized Control Systems Mykolaiv Ukraine

ISBN: (纸本)9798331540999

The dependences of the charging time of the capacitive energy storage device to the specified voltage and power of the inverter high-voltage transformer-less resonant charger of the capacitive energy storage on the resonant frequency were obtained. The obtained dependences made it possible to substantiate the frequency range for which the greatest power of the high-voltage resonant charger of the capacitive energy storage device at the constant charging current will be provided. Simulation of the charging process of capacitive energy storage with high-voltage transformer-less resonant charger was performed. © 2024 IEEE.

关键词： Capacitor storage

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Evolutionary games and spatial periodicity

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Journal of Automation and Intelligence 2023年第2期2卷 79-86页

作者： Te Wu Feng Fu Long Wang Center for Complex Systems Xidian UniversityXi’anChina Department of Mathematics Dartmouth CollegeHanoverNHUnited States of America Center for Systems and Control College of EngineeringPeking UniversityBeijingChina

Spatial interactions are considered an important factor influencing a variety of evolutionary processes that take place in structured *** still remains an open problem to fully understand evolutionary game dynamics on networks except for certain limiting scenarios such as weak *** we study the evolutionary dynamics of spatial games under strong selection where strategy evolution of individuals becomes deterministic in a fashion of winners taking *** show that the long term behavior of the evolutionary process eventually converges to a particular basin of attraction,which is either a periodic cycle or a single fixed state depending on specific initial conditions and model *** particular,we find that symmetric starting configurations can induce an exceedingly long transient phase encompassing a large number of aesthetic spatial patterns including the prominent kaleidoscopic *** finding holds for any population structure and a broad class of finite games beyond the Prisoner’s *** work offers insights into understanding evolutionary dynamics of spatially extended systems ubiquitous in biology and ecology.

关键词： Spatial games Evolutionary dynamics Periodic cycles Kaleidoscopic cooperation Spatial reciprocity

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Mobile Robot Manipulator Localization in Indoor Environments for Object Picking Tasks 6

Mobile Robot Manipulator Localization in Indoor Environments...

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6th International Conference on control and Robotics, ICCR 2024

作者： Xie, Yunfan Pongthanisorn, Goragod Kaneko, Shin-Ichiro Capi, Genci Graduate School of Science and Engineering Hosei University Dept. of Mechanical Eng. Tokyo Japan National Institute of Technology Toyama College Department of Electrical and Control Systems Engineering Toyama Japan

ISBN: (纸本)9798331518158

In dynamic and unpredictable work environments such as manufacturing, logistics, and automated warehouses, achieving high-precision self-localization estimation for efficient object picking are critical challenges for mobile robots. Ensuring accuracy and adaptability is essential for their successful operation. This paper presents a new method that integrates RGB cameras with Contrastive Learning (CL) for self-localization estimation and advanced object picking for mobile manipulators. The effectiveness of the proposed method for location estimation in object picking is verified in indoor environments. © 2024 IEEE.

关键词： Contrastive Learning

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Noise Reduction-Based Image Enhancement Using Transformer networks for Satellite SAR Radar Recognition

Noise Reduction-Based Image Enhancement Using Transformer Ne...

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2024 IEEE International Conferences of AI, Science, engineering, and Technology, AIxSET 2024

作者： Kim, Geunhwan Kim, Bong-Seok Choi, Youngdoo Kim, Sangdong Sejong University Department of Ocean Systems Engineering Seoul Korea Republic of Division of Automotive Technology Dgist Daegu Korea Republic of Electronics and Control Engineering Rok Navy Academy Jinhae Korea Republic of

ISBN: (纸本)9798350390995

In this paper, we propose a method for improving image transformer recognition based on noise removal for satellite SAR (Synthetic Aperture Radar) radar. Recently, the U.S. military uses SAR radar data to observe and track conditions on land or at sea without being affected by weather conditions. However, recognition techniques that are widely used in existing SAR radars have limitations in the recognition rate. In particular, image transformer techniques such as Vision Transformer (ViT) have recently been widely used in the field of computer vision, but research on target recognition using SAR radar results is insufficient. In addition, when the effect of noise is large due to various environmental conditions, SAR radar needs various attempts to increase the recognition rate of image transformer techniques. To solve this problem, this paper discusses how to improve Wavelet-based image transformer recognition. This method improves the recognition rate by removing noise before applying the Transformer technique to SAR radar data. Applying the proposed method, we show an approximately 87% improvement in the recognition rate for ViT compared to the previous one. © 2024 IEEE.

关键词： Noise abatement

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Seek-and-Take Games of Heterogeneous Agent Teams With Large Language Model

Seek-and-Take Games of Heterogeneous Agent Teams With Large ...

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2024 China Automation Congress, CAC 2024

作者： Li, Haolin Yi, Peng Wei, Dixiao Bai, Wenyan The Department of Control Science and Engineering Tongji University Shanghai201804 China Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai201203 China National Key Laboratory of Autonomous Intelligent Unmanned Systems Frontiers Science Center for Intelligent Autonomous Systems Ministry of Education China Beijing Aerospace Automatic Control Institute Beijing100854 China

ISBN: (纸本)9798350368604

The problem of confrontation games between multi-agent teams has attracted considerable interest, and the question of how to ensure effective coordination of heterogeneous agents in dynamic and adversarial environments remains a significant challenge. In this paper, we present a decision-making methodology for a confrontation game between two teams, which is based on large language models (LLMs). The game is designed as a competitive Seek-and-Take task comprising three distinct robot types: reconnaissance, grabbing, and blocking robots. The LLMs enhance the robot team’s decision-making efficiency, delivering high-level commands that significantly improve coordination and adversarial performance. The game is initially formalized as a partially observable Markov decision process. Subsequently, a systematic construction of the LLM agents is provided, enabling real-time decisions based on the state information of a heterogeneous robot team (HRT). Detailed prompt design and the "Zero-shot-CoT" procedure are provided, and a cue word iteration method with reflections is proposed as a means of enhancing the decision-making efficiency of the LLMs and generating optimal collaboration strategies. Finally, the efficacy of the methodology is validated through experimentation with multiple LLMs in a multi-robot simulation environment. The results demonstrate that LLMs improve the efficiency and adaptability of decision-making in dynamic environments by serving as a core decision module, generating optimal strategies through real-time analysis. © 2024 IEEE.

关键词： Efficiency

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Optimal Phase control of Limit-Cycle Oscillators with Strong Inputs through Phase-Amplitude Reduction

Optimal Phase Control of Limit-Cycle Oscillators with Strong...

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IEEE Conference on Decision and control

作者： Norihisa Namura Hiroya Nakao Department of Systems and Control Engineering Institute of Science Tokyo Tokyo Japan Department of Systems and Control Engineering Research Center for Autonomous Systems Materialogy Institute of Science Tokyo Tokyo Japan

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

We present a method for optimal phase control of limit-cycle oscillators using strong inputs. Based on the phase-amplitude reduction, which provides a concise representation of the oscillator dynamics, we design an optimal control input that quickly realizes the target phase while keeping the oscillator state close to the original limit cycle by penalizing the amplitude deviations. The derived scheme requires only a single one-dimensional phase equation even for the control of high-dimensional oscillators. We demonstrate the effectiveness of the proposed method by comparing the control performance with other methods, using the van der Pol oscillator and Willamowski-Rössler oscillator as examples.

关键词： Boundary value problems Limit-cycles Optimal control Phase control controllability Mathematical models Vectors Synchronization Oscillators Predictive control

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Stabilization With Prescribed Instant for High-Order Integrator systems

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IEEE Transactions on Cybernetics 2023年第11期53卷 7275-7284页

作者： Kuang, Jiyuan Gao, Yabin Chen, Chih-Chiang Zhang, Xiaoju Sun, Yizhuo Liu, Jianxing Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China National Cheng Kung University Department of Systems and Naval Mechatronic Engineering Tainan70101 Taiwan Harbin Institute of Technology School of Mathematics Harbin150001 China

This article develops a new controller design approach to stabilize system states onto the equilibrium at an arbitrarily selected time instant irrespective of the initial system states and parameters. By the stabilization approach, the actual convergence time (not the bound of actual convergence time) is independent of the initial value of system states. This feature differentiates our proposed prescribed-instant stability from conventional fixed, predefined, and prescribed time stability. In this work, we propose the controller design method for the prescribed-instant stability of n-order integrator systems. The proposed control is bounded and can gradually go to zero at an arbitrarily selected time instant, at which the system states reach zero simultaneously. This special stability of the controlled system is analyzed by reduction to absurdity. In simulations, an example of comparison with frequently used prescribed-time control is presented to show the difference. Moreover, the proposed stabilization method is validated by a magnetic suspension system with matched disturbances. © 2013 IEEE.

关键词： Stability criteria

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Urban Electric Vehicle Charging Station Placement Optimization with Graylag Goose Optimization Voting Classifier

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Computers, Materials & Continua 2024年第7期80卷 1163-1177页

作者： Amel Ali Alhussan Doaa Sami Khafaga El-Sayed M.El-kenawy Marwa M.Eid Abdelhameed Ibrahim Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute for Engineering and TechnologyMansoura35511Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt

To reduce the negative effects that conventional modes of transportation have on the environment,researchers are working to increase the use of electric *** demand for environmentally friendly transportation may be hampered by obstacles such as a restricted range and extended rates of *** establishment of urban charging infrastructure that includes both fast and ultra-fast terminals is essential to address this ***,the powering of these terminals presents challenges because of the high energy requirements,whichmay influence the quality of *** the maximum hourly capacity of each station based on its geographic location is necessary to arrive at an accurate estimation of the resources required for charging *** is vital to do an analysis of specific regional traffic patterns,such as road networks,route details,junction density,and economic zones,rather than making arbitrary conclusions about traffic *** vehicle traffic is simulated using this data and other variables,it is possible to detect limits in the design of the current traffic engineering ***,the binary graylag goose optimization(bGGO)algorithm is utilized for the purpose of feature ***,the graylag goose optimization(GGO)algorithm is utilized as a voting classifier as a decision algorithm to allocate demand to charging stations while taking into consideration the cost variable of traffic *** on the results of the analysis of variance(ANOVA),a comprehensive summary of the components that contribute to the observed variability in the dataset is *** results of the Wilcoxon Signed Rank Test compare the actual median accuracy values of several different algorithms,such as the voting GGO algorithm,the voting grey wolf optimization algorithm(GWO),the voting whale optimization algorithm(WOA),the voting particle swarm optimization(PSO),the voting firefly algorithm(FA),and the voting genetic algori

关键词： Electric vehicle graylag goose optimization metaheuristics optimization machine learning

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Supervised-learning guarantee for quantum AdaBoost

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Physical Review Applied 2024年第5期22卷 054001页

作者： Yabo Wang Xin Wang Bo Qi Daoyi Dong Key Laboratory of Systems and Control Beijing 100049 People’s Republic of China Department of Automation School of Engineering

In the noisy intermediate-scale quantum (NISQ) era, the capabilities of variational quantum algorithms are greatly constrained due to a limited number of qubits and the shallow depth of quantum circuits. We may view these variational quantum algorithms as weak learners in supervised learning. Ensemble methods are general approaches to combining weak learners to construct a strong one in machine learning. In this paper, by focusing on classification, we theoretically establish and numerically verify a learning guarantee for quantum adaptive boosting (AdaBoost). The supervised-learning risk bound describes how the prediction error of quantum AdaBoost on binary classification decreases as the number of boosting rounds and sample size increase. We further empirically demonstrate the advantages of quantum AdaBoost by focusing on a 4-class classification. The quantum AdaBoost not only outperforms several other ensemble methods, but in the presence of noise it can also surpass the ideally noiseless but unboosted primitive classifier after only a few boosting rounds. Our work indicates that in the current NISQ era, introducing appropriate ensemble methods is particularly valuable in improving the performance of quantum machine learning algorithms.

关键词： Quantum algorithms & computation Quantum circuits Supervised learning

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