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Energy-Saving Distributed Flexible Job Shop Scheduling Optimization with Dual Resource Constraints Based on Integrated Q-Learning Multi-Objective Grey Wolf Optimizer

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1459-1483页

作者： Hongliang Zhang Yi Chen Yuteng Zhang Gongjie Xu School of Management Science and Engineering Anhui University of TechnologyMa’anshan243032China Laboratory of Multidisciplinary Management and Control of Complex Systems of Anhui Higher Education Institutes Anhui University of TechnologyMa’anshan243032China Department of Industrial Engineering School of Mechanical EngineeringNorthwestern Polytechnical UniversityXi’an710072China

The distributed flexible job shop scheduling problem(DFJSP)has attracted great attention with the growth of the global manufacturing *** DFJSP research only considers machine constraints and ignores worker *** one critical factor of production,effective utilization of worker resources can increase ***,energy consumption is a growing concern due to the increasingly serious environmental ***,the distributed flexible job shop scheduling problem with dual resource constraints(DFJSP-DRC)for minimizing makespan and total energy consumption is studied in this *** solve the problem,we present a multi-objective mathematical model for DFJSP-DRC and propose a Q-learning-based multi-objective grey wolf optimizer(Q-MOGWO).In Q-MOGWO,high-quality initial solutions are generated by a hybrid initialization strategy,and an improved active decoding strategy is designed to obtain the scheduling *** further enhance the local search capability and expand the solution space,two wolf predation strategies and three critical factory neighborhood structures based on Q-learning are *** strategies and structures enable Q-MOGWO to explore the solution space more efficiently and thus find better Pareto *** effectiveness of Q-MOGWO in addressing DFJSP-DRC is verified through comparison with four algorithms using 45 *** results reveal that Q-MOGWO outperforms comparison algorithms in terms of solution quality.

关键词： Distributed flexible job shop scheduling problem dual resource constraints energy-saving scheduling multi-objective grey wolf optimizer Q-learning

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Unsupervised Production Machinery Data Labeling Method Based on Natural Language Processing

Unsupervised Production Machinery Data Labeling Method Based...

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2024 International Russian Smart Industry Conference, SmartIndustryCon 2024

作者： Savchenko, Makar Tynchenko, Vadim Bauman Moscow State Technical University Department of Artificial Intelligence Technologies Moscow Russia Reshetnev Siberian State University of Science and Technology Department of Information-Control Systems Krasnoyarsk Russia

ISBN: (纸本)9798350395044

This paper proposes an approach for the unsupervised labeling of production machinery data with the leverage of Natural Language Processing (NLP) techniques. Acquiring labeled data for training machine learning models poses a significant challenge involving high monetary and time costs, which can be tremendously reduced using the method presented in this paper. The method, described in this paper, uses standard NLP techniques in combination with vector representations of dataset object descriptions, obtained using a pre-trained transformed-based model, to automate the dataset markup. The proposed method was evaluated on a real-world production machinery dataset and demonstrated its effectiveness in assigning meaningful labels in a natural language to dataset records. Implications of this work can be extended to any sector, having classes and descriptions of dataset objects in a natural language. © 2024 IEEE.

关键词： Natural language processing systems

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control of Dynamic systems with Lumped Parameters Based on Current and Delayed Feedback 5

Control of Dynamic Systems with Lumped Parameters Based on C...

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5th International Conference on Problems of Cybernetics and Informatics, PCI 2023

作者： Guliyev, Samir Abdullayev, Vagif Azerbaijan State Oil and Industry University Faculty of Information Technology and Control Department of General and Applied Mathematics Baku Azerbaijan Institute of Control Systems Laboratory of Recognition Identification and Methods of Optimal Solutions Baku Azerbaijan Azerbaijan State Oil and Industry Faculty of Information Technology and Control Department of General and Applied Mathematics Baku Azerbaijan

ISBN: (纸本)9798350319064

Optimal feedback control problems based on continuous and/or discrete feedback on the object's state are studied in the paper for dynamic, in the general case, nonlinear systems with lumped parameters. We assume that only a certain part of the phase vector components is controllable. In order to compensate for the inability to measure every component of the object's phase state, we suggest using the measured values of the phase vector's observable components at the current and previous moments of time to compute the values of the synthesized control's parameters. Because the parameters of the synthesized control are dependent on a portion of the object's state due to this type of formation, ordinary differential equations with time-constant delay arguments in the phase state will be used to describe the process under consideration. Through reduction to a finite-dimensional optimization problem, the stated feedback control problem is solved numerically. With respect to the optimizable parameters, which are zonal values of the feedback parameters, we obtain formulas for the gradient of the reduced problem's objective functional. The necessary first-order optimality conditions can be formulated thanks to these formulas. They also enable us to numerically solve test model problems with the help of first-order optimization methods. © 2023 IEEE.

关键词： Ordinary differential equations

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Tracking Trajectory by Using The Polynomial Method for ACC System Based on Smart Car Platform 17

Tracking Trajectory by Using The Polynomial Method for ACC S...

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17th International Conference on Engineering of Modern Electric systems, EMES 2023

作者： Luu, Duc Lich Hung, Nguyen Viet Lupu, Ciprian University of Science and Technology The University of Danang Faculty of Transportation Mechanical Engineering Da Nang550000 Viet Nam East Asia University of Technology Faculty of Information Technology Bac Ninh Viet Nam University Politehnica of Bucharest Department of Automatic Control and Systems Engineering Bucharest Romania

ISBN: (纸本)9798350310634

A well-known advanced driver assistance technology that can be employed for that is the Adaptive Cruise control System (ACC). Cars equipped with ACC system are to control the car speed to follow a driver's set speed closely when there is no leading car. When a slower leading car is present based on distance sensor, the ACC controlled car are able to keep desired distance with respect to the position and velocity of the car in front. This paper presents a design methodology of Adaptive Cruise control (ACC) system for two smart car platform consist of the leading smart car and a host smart car move on a single lane on a laboratory installation. RST algorithm in the multi algorithms structure is proposed to design in real-time architecture for ACC system. RST algorithm is one of the most effective solutions for the real-time control of nonlinear systems or working regimes. The results of the experiment have been conducted to illustrate the effectiveness of the proposed algorithm. © 2023 IEEE.

关键词： Adaptive cruise control

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Suboptimality analysis of receding horizon quadratic control with unknown linear systems and its applications in learning-based control

arXiv

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arXiv 2023年

作者： Shi, Shengling Tsiamis, Anastasios De Schutter, Bart Department of Chemical Engineering Massachusetts Institute of Technology United States Delft Center for Systems and Control Delft University of Technology Netherlands Automatic Control Laboratory ETH Zurich Switzerland Delft Center for Systems and Control Delft University of Technology Netherlands

This work analyzes how the trade-off between the modeling error, the terminal value function error, and the prediction horizon affects the performance of a nominal receding-horizon linear quadratic (LQ) controller. By developing a novel perturbation result of the Riccati difference equation, a novel performance upper bound is obtained and suggests that for many cases, the prediction horizon can be either 1 or +∞ to improve the control performance, depending on the relative difference between the modeling error and the terminal value function error. The result also shows that when an infinite horizon is desired, a finite prediction horizon that is larger than the controllability index can be sufficient for achieving a near-optimal performance, revealing a close relation between the prediction horizon and controllability. The obtained suboptimality performance bound is applied to provide novel sample complexity and regret guarantees for nominal receding-horizon LQ controllers in a learning-based setting. We show that an adaptive prediction horizon that increases as a logarithmic function of time is beneficial for regret minimization. Copyright © 2023, The Authors. All rights reserved.

关键词： controllability

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Steps Toward Industry 5.0:Building“6S”Parallel Industries With Cyber-Physical-Social Intelligence

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IEEE/CAA Journal of automatica Sinica 2023年第8期10卷 1692-1703页

作者： Xingxia Wang Jing Yang Yutong Wang Qinghai Miao Fei-Yue Wang Aijun Zhao Jian-Ling Deng Lingxi Li Xiaoxiang Na Ljubo Vlacic School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China IEEE Macao University of Science and Technology Macao 999078China Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of SciencesBeijing 100098 State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China North Automatic Control Technology Institute Taiyuan 030006China China Huaneng Group Co. Ltd.Beijing 100031China Department of Electrical and Computer Engineering Indiana University-Purdue University Indianapolis(IUPUI)IndianapolisIN 46202 USA Department of Engineering University of CambridgeCambridgeCB21PZUK School of Engineering and Built Environment Griffith UniversityGold CoastQLD 4222Australia

Very recently,intensive discussions and studies on Industry 5.0 have sprung up and caused the attention of researchers,entrepreneurs,and policymakers from various sectors around the ***,there is no consensus on why and what is Industry 5.0 *** this paper,we define Industry 5.0from its philosophical and historical origin and evolution,emphasize its new thinking on virtual-real duality and human-machine interaction,and introduce its new theory and technology based on parallel intelligence(PI),artificial societies,computational experiments,and parallel execution(the ACP method),and cyber-physical-social systems(CPSS).Case studies and applications of Industry 5.0 over the last decade have been briefly summarized and analyzed with suggestions for its future *** believe that Industry 5.0 of virtual-real interactive parallel industries has great potentials and is critical for building smart *** are outlined to ensure a roadmap that would lead to a smooth transition from CPS-based Industry 4.0 to CPSS-based Industry 5.0 for a better world which is Safe in physical spaces,S ecure in cyberspaces,Sustainable in ecology,Sensitive in individual privacy and rights,Service for all,and Smartness of all.

关键词： ACP artificial intelligence CPS CPSS Industry 4.0 Industry 5.0 parallel industries parallel intelligence

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Numerical approach to design of low frequency magnetic field irradiation system for lab on chip experiments 14

Numerical approach to design of low frequency magnetic field...

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14th International Conference ELEKTRO, ELEKTRO 2022

作者： Radil, Roman Bajtos, Marek Carnecka, Lucia Hargasova, Klaudia Kamencay, Patrik University of Zilina Department of Electromagnetic and Biomedical Engineering Zilina Slovakia Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Department of Systems Biology and Engineering Gliwice Poland

ISBN: (纸本)9781665467261

The article is focused on design of specific electromagnetic coil system using numerical modelling and simulation methods. The proposed solution would be capable of delivering magnetic field of desired strength/ flux density and homogeneity within the specific area to affect the cultivation process of single cells in lab on chip experiments. © 2022 IEEE.

关键词： Numerical models

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The Second Order Low Pass Filters on the Switched Capacitors with Signal Adder Based on Differential Difference Amplifier 3

The Second Order Low Pass Filters on the Switched Capacitors...

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3rd IEEE International Conference on Problems of Informatics, Electronics and Radio Engineering, PIERE 2024

作者： Denisenko, Darya Yu. Pakhomov, Ilya V. Ivanov, Yury I. Kuznetsov, Dmitry V. Butyrlagin, Nikolay V. Don State Technical University Southern Federal University Scientific research department Rostov-on-Don Russia Don State Technical University Scientific research department Rostov-on-Don Russia Southern Federal University Automatic Control Systems department Rostov-on-Don Russia

ISBN: (纸本)9798331516321

Three new modifications of the second-order discrete-analog low-pass filters on the switched capacitors are developed. In these circuits, the summation of the input signal of the second-order discrete-analog low-pass filters on the switched capacitors and the output signal of the filter integrator, made on the classical operational amplifier, is performed using a differential difference amplifier with two input ports. This provides a unity gain of the second-order discrete-analog low-pass filters on the switched capacitors at low frequency. Computer simulation of the suggested discrete analog low-pass filter modifications was performed in the Micro-Cap software, where use standard analog elements models and models of AD830 differential difference operational amplifiers and OP37 classical operational amplifiers. The simulation results demonstrate that in the first two discrete-analog low-pass filter circuits considered, a single element tuning of the pole frequency is possible at a fixed switching frequency of the CMOS keys. The third discrete analog low-pass filter circuit is characterized by the higher values of the initial Q factor at the same capacitance ratio of the switched capacitors. © 2024 IEEE.

关键词： Operational amplifiers

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Early Stopping Bayesian Optimization for controller Tuning 63

Early Stopping Bayesian Optimization for Controller Tuning

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Stenger, David Scheurenberg, Dominik Vallery, Heike Trimpe, Sebastian Institute for Data Science in Mechanical Engineering Rwth Aachen University Germany Institute of Automatic Control Rwth Aachen University Germany Delft University of Technology Department of BioMechanical Engineering Department for Rehabilitation Medicine Erasmus MC Rotterdam Netherlands

ISBN: (纸本)9798350316339

Manual tuning of performance-critical controller parameters can be tedious and sub-optimal. Bayesian Optimization (BO) is an increasingly popular practical alternative to automatically optimize controller parameters from few experiments. Standard BO practice is to evaluate the closed-loop performance of parameters proposed during optimization on an episode with a fixed length. However, fixed-length episodes can be wasteful. For example, continuing an episode where already the start shows undesirable behavior such as strong oscillations seems pointless. Therefore, we propose a BO method that stops an episode early if suboptimality becomes apparent before an episode is completed. Such early stopping results in partial observations of the controller's performance, which cannot directly be included in standard BO. We propose three heuristics to facilitate partially observed episodes in BO. Through five numerical and one hardware experiment, we demonstrate that early stopping BO can substantially reduce the time needed for optimization. © 2024 IEEE.

关键词： Proportional control systems

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MOVING HIGHER-ORDER TAYLOR APPROXIMATIONS METHOD FOR SMOOTH CONSTRAINED MINIMIZATION PROBLEMS

arXiv

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arXiv 2024年

作者： Nabou, Yassine Necoara, Ion Automatic Control and Systems Engineering Department University Politehnica Bucharest Romania Automatic Control and Systems Engineering Department University Politehnica Bucharest Gheorghe Mihoc - Caius Iacob Institute of Mathematical Statistics and Applied Mathematics The Romanian Academy Bucharest Romania

In this paper, we develop a higher-order method for solving composite (non)convex minimization problems with smooth (non)convex functional constraints. At each iteration, our method approximates the smooth part of the objective function and of the constraints by higher-order Taylor approximations, leading to a moving Taylor approximation method (MTA). We present convergence guarantees for the MTA algorithm for both, nonconvex and convex problems. In particular, when the objective and the constraints are nonconvex functions, we prove that the sequence generated by MTA algorithm converges globally to a KKT point. Moreover, we derive convergence rates in the iterates when the problem’s data satisfy the Kurdyka-Lojasiewicz (KL) property. Further, when the objective function is (uniformly) convex and the constraints are also convex, we provide (linear/superlinear) sublinear convergence rates for our algorithm. Finally, we present an efficient implementation of the proposed algorithm and compare it with existing methods from the literature. © 2024, CC BY.

关键词： Approximation algorithms

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