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Decentralised Planning of Production Operations 15

Decentralised Planning of Production Operations

引用

15th International symposium on Industrial Electronics and Applications, INDEL 2024

作者： Kaczmarczyk, Vaclav Bastan, Ondrej Bradac, Zdenek Arm, Jakub Kaczmarczykova, Zuzana Brno University of Technology Department of Control and Instrumentation Brno Czech Republic

ISBN: (纸本)9798350352320

This paper presents a distributed manufacturing operations management method in which the entities involved in manufacturing are divided into Product Agents and Resource Agents. The Product Agent represents the product to be manufactured, while the Resource Agent represents the manufacturing, transportation or storage unit. This way of implementing manufacturing operations is one of the key elements of the Industry 4.0 vision. © 2024 ieee.

关键词： Industry 4.0

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A Cautionary Note on Poli's Stability Condition for Particle Swarm Optimization

A Cautionary Note on Poli's Stability Condition for Particle...

引用

2023 ieee symposium Series on computational intelligence, SSCI 2023

作者： Von Eschwege, Daniel H. Engelbrecht, Andries P. Stellenbosch University Department of Industrial Engineering Stellenbosch South Africa Stellenbosch University Department of Industrial Engineering and Computer Science Division Stellenbosch South Africa Gulf University for Science and Technology Center for Applied Mathematics and Bioinformatics Kuwait Kuwait

ISBN: (纸本)9781665430654

Particle swarm optimization (PSO) is a swarm intelligence algorithm that finds candidate solutions by iteratively updating the positions of particles in a swarm. PSO performance depends on the use of a suitable control parameter (CP) configuration, which governs the trade-off between exploration and exploitation in the swarm. Various methods of adapting or tuning CPs exist, but many result in exploding particle velocities and an unstable search process. Poli's stability condition ensures convergence in the mathematical limit, and is often used to inform CP configuration. However, this study shows that since it does not place any practical convergence constraints, it cannot be used to guarantee a stable search process. Velocity explosion occurs nonetheless and can lead to floating-point overflow and numerical instability. The investigation into various CP configurations across diverse functions and measurements of particle velocities provides empirical evidence of velocity explosion, and cautions against the assumption that enforcing Poli's criterion guarantees stability. The findings underline the need for comprehensive understanding of CP tuning and stability conditions in PSO, as well as the crucial role of empirical evidence in evaluating the real-world performance of swarm intelligence algorithms. © 2023 ieee.

关键词： Particle swarm optimization Poli Stability condition Swarm intelligence

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Multi-Agent Reinforcement Learning for railway rescheduling 17

Multi-Agent Reinforcement Learning for railway rescheduling

引用

17th ieee International symposium on Applied computational intelligence and Informatics, SACI 2023

作者： Kovari, Balint Balogh, Csanad L. Aradi, Szilard Budapest University of Technology and Economics Department of Control for Transportation and Vehicle Systems Budapest Hungary

ISBN: (纸本)9798350321104

Malfunctions, congestions, and accidents occur in every railway system from time to time, which influences the railway traffic on a given section of the system. The disturbance may cause inconvenience for several passengers and disruption in rail freight. Both the schedule and route of the affected trains must be modified to avoid further congestion and minimalize delays. The rigidity of the railway system (e.g., single tracks, vast distances without a service station, no viable alternative in case of malfunction) poses restrictions, unlike other transportation systems. Replanning schedules and train routes (called the railway rescheduling problem) is complex and demanding, even for human operators, as one must consider numerous factors. Thus, finding a satisfying solution poses a significant challenge. This paper presents a MARL-base (Multi-Agent Reinforcement Learning) solution that shows great potential for tackling this problem, even in the case of multiple connected stations. © 2023 ieee.

关键词： Railroads

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Predefined-time Secondary control for DC Microgrids with Reduced computational Cost 17

Predefined-time Secondary Control for DC Microgrids with Red...

引用

ieee 17th International Conference on control and automation (ICCA)

作者： Wang, Siqing Liu, Xiao-Kang Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China

ISBN: (纸本)9781665495721

This paper proposes a novel predefined-time secondary control framework for an islanded DC microgrid to achieve the current sharing and voltage regulation within a tunable settling time. An integrated error, namely, a positive linear combination of current sharing error and DC bus voltage error is constructed and then used in the design of finite/fixed-time feedback loop. Using the integrated error, instead of the current error and the voltage error separately, a unified finite/fixed-time controller structure is proposed to save the computation resource. In addition, the framework enables us to provide rigorous theoretical analysis of the resulting system, which shows the upper bound of convergence time is dependent on both control and system parameters of DC microgrid and therefore is tunable by adjusting control parameters. Finally, simulation tests are carried out to demonstrate the effectiveness of the methods.

关键词： Feedback loop Upper bound automation computational modeling Microgrids Switches control systems

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Modeling of viscoelastic dielectric elastomer actuators based on the sparse identification method 39

Modeling of viscoelastic dielectric elastomer actuators base...

引用

ieee International Conference on Robotics and automation (ICRA)

作者： Li, Jisen Wang, Hao Zhu, Jian Chinese Univ Hong Kong Sch Sci & Engn Shenzhen 518172 Peoples R China Shenzhen Inst Artificial Intelligence & Robot Soc Shenzhen 518129 Peoples R China

ISBN: (纸本)9781728196817

Dielectric elastomer actuators (DEAs) have been widely employed to drive various soft robots, due to their quiet fast muscle-like behavior. It is significant but challenging to model and control these soft actuators, due to their viscoelastic property, irregular geometry, complex structure, etc. In this paper, we propose a data-driven sparse identification method to discover the hidden governing equations of DEAs. These equations can help us interpret the nonlinear properties of DEAs. Due to their low computational cost, we can further use these equations to explore classic model-based control methods for real-time accurate control of viscoelastic DEAs. The experiments show that the proposed method can model the viscoelastic behavior of the DEAs with reasonable accuracy. A feedforward controller is finally developed to validate the effectiveness of the proposed method. It is expected that this modeling method can pave the way for accurate control of soft actuators/robots with structural and material nonlinearities.

关键词： Geometry Uncertainty computational modeling Predictive models Soft robotics Mathematical models Real-time systems

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Trajectory Tracking control of Nonholonomic Wheeled Mobile Robots Based on Event-Triggered and Time-Varying Functions 9

Trajectory Tracking Control of Nonholonomic Wheeled Mobile R...

引用

9th International symposium on Computer and Information Processing Technology, ISCIPT 2024

作者： Li, Gaohan Fan, Yuan Guo, Yuchao Anhui University School of Electrical Engineering and Automation China

ISBN: (纸本)9798350388404

In this work, we study the trajectory-tracking control problem of the nonholonomic wheeled mobile robot and propose an event-triggered control method based on the control system, which enables the robot's motion trajectory to be sufficiently smooth and capable of quickly tracking the desired trajectory, while greatly reducing the update frequency of the system and saving computational resources. Firstly, a unified mathematical model is constructed based on the tracking problem, and a controller based on a time-varying function is selected. This controller enables the robot to obtain a smoother autonomous motion trajectory, and a faster convergence rate, and can achieve desired trajectory tracking well. Then, we propose an event-triggered control method based on this, which can significantly reduce the update frequency without affecting the speed and stability of the system. Finally, it is proved that the system is stable, and the solution of it is uniformly asymptotically stable and ultimately bounded. It is proved that the system does not have Zeno behavior. Simulations verify the feasibility and effectiveness of the proposed method. © 2024 ieee.

关键词： Mobile robots

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An Efficient Internet based Home automation Framework for Operating Multi-functional Units 1

An Efficient Internet based Home Automation Framework for Op...

引用

1st International Conference on computational intelligence, Communication Technology and Networking, CICTN 2023

作者： Kaur, Bhavneet Jindal, Karan Gupta, Ruchika Chandigarh University Department of Cse Punjab India

ISBN: (纸本)9798350338027

The implementation of a smart home automation system employing networking and the Internet of Things is suggested in this study. Considering the progress of technology nowadays, we barely see a house without some devices operated remotely. Home automation systems allow you to remotely operate appliances in your house or place of business including fans, lights, and doors. There is a plethora of devices providing us with the facility to operate other devices remotely up to a specific range. It involves basic features to operate the user commands and provides the best experience satisfaction to the user. This paper presents an execution of an efficient home automation system which can be used to operate devices even when we are far using a reliable website. With the use of a user-friendly web page and a few easy login details, this paper enables the user to control a sizable number of home appliances wirelessly or over an Ethernet connector. The main purpose of our work is to implement the devices remotely through some network architectural devices like residential gateway, cable modem, DNS server, IOE server, central office server and cell tower. © 2023 ieee.

关键词： Websites

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Penetration-Free Collision Detection and Response Algorithm Based on Extended Position-Based Dynamics 6

Penetration-Free Collision Detection and Response Algorithm ...

引用

6th International Conference on Industrial Artificial intelligence, IAI 2024

作者： Wang, Minghui Ding, Fan Liao, Chengye Pan, Yangyang Yang, Tao He, Jianping Pingtan Center of Quality Metrology and Testing Pingtan350400 China Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Department of Automation Shanghai200240 China Northeastern University Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China

ISBN: (纸本)9798350356618

In the virtual simulation platform, frequent physical interactions between the robot and the environment poses extremely high demands on the handling of collisions and contacts in the simulation. Current mainstream virtual simulation platforms, in pursuit of real-time performance, have sacrificed some accuracy in simulation algorithms, leading to control strategies obtained in training that are difficult to directly transfer to actual physical machines. This virtual-physical discrepancy has significantly impacted the efficiency and effectiveness of mobile robot simulation. Existing work has attempted to use more accurate mathematical modeling and design more realistic solvers, but at the cost of uncontrollable problem scale and extremely high computational complexity. Starting from this perspective, this paper designs a non-penetration simulation algorithm based on extended Position-Based Dynamics (XPBD), which improves the physical processing accuracy during the simulation while ensuring real-time performance, enhances the fidelity of the simulation, and reduces the virtual-physical discrepancy. Simulation experiments have been conducted to validate the reliability of our proposed algorithm. © 2024 ieee.

关键词： Virtual environments

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Parameter-Adaptive Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization Algorithm

Parameter-Adaptive Paired Offspring Generation for Constrain...

引用

2023 ieee symposium Series on computational intelligence, SSCI 2023

作者： Zhu, Haiyue Chen, Qingda Ding, Jinliang Zhang, Xingyi Wang, Hongfeng Northeastern University The State Key Laboratory of Synthetical Automation for Process Industries Shenyang China School of Artificial Intelligence Anhui University Hefei China

ISBN: (纸本)9781665430654

There are significant challenges in designing optimization algorithms for constrained large-scale multiobjective optimization problems due to numerous decision variables and constraints. For example, the decision space size exponentially grows with the number of decision variables, and constraints restrict the feasible range, increasing the complexity of the search space. To solve these problems, this paper presents a constrained large-scale multiobjective optimization algorithm based on adaptive paired offspring generation (aPOCEA). Specifically, an adaptive parameter adjustment strategy is proposed to determine the number of solutions in each subpopulation and balance the exploration and exploitation ability of the algorithm, enhancing the convergence speed of aPOCEA. Meanwhile, we propose a parent selection strategy to select high-quality parent solutions, increasing the probability of generating high-quality offspring solutions. Experimental results on ten benchmarks, each with two to three objectives, multiple constraints, and hundreds of decision variables, demonstrate that aPOCEA outperforms other representative optimization algorithms. © 2023 ieee.

关键词： adaptive parameter adjustment strategy Constrained large-scale multiobjective optimization parent selection strategy

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Refined Reciprocally Convex Inequality for Less Conservative Stability Analysis of Systems with Interval Delay 10

Refined Reciprocally Convex Inequality for Less Conservative...

引用

10th ieee Smart World Congress, SWC 2024

作者： Yang, Feisheng Feng, Xiao Ding, Ruisen Northwestern Polytechnical University School of Automation Xi'an710129 China

ISBN: (纸本)9798331520861

This paper investigates problems related to the stability of time-varying delay systems using three new inequality lemmas. A constrained matrix inequality lemma and an unconstrained one, both of which concern high-order reciprocally convex combination, are proposed for analyzing asymptotic stability of the delayed system for networked control. A necessary and sufficient condition lemma is also established to ensure the negative definiteness of high-order matrix polynomials. A novel augmented Lyapunov-Krasovskii functional (LKF) with a third-order matrix polynomial on the interval delay is constructed to generate quartic matrix polynomials. The proven lemmas are exploited for the time derivative of LKF to expound delay-dependent stability criteria with reduced conservatism. Finally, a numerical example is presented to demonstrate the effectiveness and superiority of the raised criteria. © 2024 ieee.

关键词： Lyapunov functions

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