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Decentralized Adaptive Tracking control For Large-Scale Multi-Agent Systems Under Unstructured Environment

Decentralized Adaptive Tracking Control For Large-Scale Mult...

引用

ieee symposium Series on computational intelligence (ieee SSCI)

作者： Dey, Shawon Xu, Hao Univ Nevada Elect & Biomed Engn Reno NV USA

ISBN: (纸本)9781665487689

In this paper, a decentralized optimal tracking control problem has been investigated for large scale multiagent system (LS-MAS) under unstructured environment. Due to the "Curse of Dimensionality" from a large amount of agents and constraints from the unstructured environment, conventional optimal tracking control as well as emerging mean field game and machine learning based design cannot be utilized directly. To overcome those challenges, a novel barrier function has been designed to transform the unstructured environment into a structured environment so that mean field game theory can be used to formulate decentralized optimal tracking control for LS-MAS. Then, the actor-critic-mass reinforcement learning algorithm has been developed to learn the mean field game based optimal solution under structured environment. Specifically, individual agent has three neural networks (NN), i.e., 1) mass NN that learns the behaviors of large population via estimating the solution of Fokker-Planck-Kolmogorov (FPK) equation, 2) critic NN that obtains optimal cost function by learning the solution of the Hamilton-Jacobi-Bellman (HJB) equation, 3) actor NN that solve the decentralized optimal tracking control based on the information provided by the mass and critic NN. Next, the learned decentralized optimal tracking control can be transformed from structured environment back to unstructured environment and implemented in real-time through barrier function. Overall, this developed algorithm is named MFG-based barrier-actor-criticmass learning. The Lyapunov theorem has been used to prove the stability of the closed-loop system. Eventually, a series of numerical simulation has been conducted to demonstrate the effectiveness of the developed scheme.

关键词： Multi agent systems

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Endpoint control of Manipulator Driven by Dual Neurodynamic Algorithm

Endpoint Control of Manipulator Driven by Dual Neurodynamic ...

引用

2023 International Conference on New Trends in computational intelligence, NTCI 2023

作者： Qu, Youran He, Xing Sun, Shiying Li, Tao Zhou, Feihu College of Electronic and Information Engineering Southwest University Chongqing China Institute of Automation Chinese Academy of Sciences Beijing China Chinese Pla General Hospital The First Medical Centre Department of Critical Care Medicine Beijing China Medical Engineering Laboratory of Chinese Pla General Hospital Beijing China

ISBN: (纸本)9798350380859

In this paper, the time-varying neurodynamic algorithm is explained as a Recurrent Neural Network (RNN) with inputs. A collaborative computational method for neurodynamic algorithms is proposed via connecting neural networks by time-varying parameters as input of network and this method is used to compute a control strategy for the endpoint of the manipulator. The motion of the endpoint of the manipulator is planned through an optimization problem and solved using a neurodynamic algorithm. The state output of this neurodynamic algorithm is mapped to a distributed motor set at each joint through an optimal joint angular velocity programming problem. This distributed motor set assigns the required angular velocity of the joints to each motor through an allocation problem and the corresponding neurodynamic algorithm. The control of the entire manipulator is achieved through the cooperative use of two neural network. Benefiting from the time varying neurodynamic algorithm being a method with continuous dynamical behaviour and being able to respond to time varying inputs, the proposed multiple neurodynamic algorithms collaborative approach is a parallel computational method that can be implemented in hardware. Numerical simulation experiments were conducted to achieve endpoint control of a manipulator using dual neurodynamic algorithms. © 2023 ieee.

关键词： Manipulators

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Classification via Compressed Latent Space 20

Classification via Compressed Latent Space

引用

20th ieee Jubilee World symposium on Applied Machine intelligence and Informatics, SAMI 2022

作者： Vasilyev, Igor Makarov, Ilya Hse University Moscow Russia

ISBN: (纸本)9781665497046

This paper introduces a new classification method, which is aimed to solve image classification task. The method is based on data generated from auto-encoder's hidden layers. The data were classified with the help of ensemble and classical machine learning algorithms. The algorithm was tested on different image data sets and compared with current state-of-the-art approaches. © 2022 ieee.

关键词： Machine learning algorithms Image coding Classification algorithms computational efficiency Time complexity Task analysis Informatics

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Database for storing and accessing diabetes related data in a standardized way 23

Database for storing and accessing diabetes related data in ...

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23rd ieee International symposium on computational intelligence and Informatics, CINTI 2023

作者： Siket, Mate Kis, Andras Nandor Denes-Fazakas, Lehel Eigner, Gyorgy Kovacs, Levente Óbuda University Physiological Controls Research Center Hungary Institute for Computer Science and Control Kende utca 13-17 BudapestH-1111 Hungary Óbuda University Applied Informatics and Applied Mathematics Doctoral School Bécsi street 96/B BudapestH-1034 Hungary Biomatics and Applied Artificial Intelligence Institute John von Neumann Faculty of Informatics Óbuda University Hungary

ISBN: (纸本)9798350342949

Real-world data has a major importance in diabetes related research, especially considering the widespread applications of machine learning algorithms. There are several existing datasets of real-world data in the literature;however, they all have their specific formats, applied devices and file structures. The different charachteristics make it cumbersome to use multiple datasets for research purposes. We developed a pipeline for efficiently storing and accessing diabetes related data in a standardized way. We defined a standardized JSON format for the records and stored them in a MongoDB database. The pipeline is capable of uploading data from various sources by implementing a corresponding transformer script;also it is possible to extend it with algorithms which are called automatically for new entries in the database. The source code for constructing the pipeline is given in https://***/NeuroDiab/CINTI2023Diabdatabase. © 2023 ieee.

关键词： Pipelines

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Research on the Path Planning Algorithm of Barley Harvester 6

Research on the Path Planning Algorithm of Barley Harvester

引用

6th World symposium on Artificial intelligence, WSAI 2024

作者： Zhu, Zhenglin Geng, Liqing Yang, Genghuang Huo, Yang School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin China Co. Ltd Tianjin China

ISBN: (纸本)9798350374162

To address the issue of inadequate path planning effect of barley harvester due to the irregular shape and complex terrain of barley fields, a path planning method based on the improved A∗ algorithm has been proposed. Firstly, the raster method was used to model the farmland map. Next, dynamic weighting coefficients are incorporated to improve the evaluation function and optimise the heuristic function. Recursive search reduced from regular 8-direction search to 5 main directions. Finally, Smoothing the planned path. This text compares and experiments with three algorithms: the A∗ algorithm, the JPS algorithm, and the improved A∗ algorithm. The experiments were conducted in different environments with varying specifications of raster maps and obstacle coverage. The experimental results demonstrate that the optimised A∗ algorithm effectively enhances evaluation indexes, such as path planning time, length of the generated path, number of transitions, and number of travelling nodes, compared to the other two algorithms. This confirms the effectiveness of the optimisation. © 2024 ieee.

关键词： Motion planning

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FPGA Validated Advanced Learning-Based Voltage control of DC/DC Converter Feeding CPL in DC Microgrid Applications 32

FPGA Validated Advanced Learning-Based Voltage Control of DC...

引用

32nd ieee International symposium on Industrial Electronics, ISIE 2023

作者： Khan, Hussain Sarwar Kauhaniemi, Kimmo University of Vaasa School of Technology and Innovations Vaasa Finland

ISBN: (纸本)9798350399714

The high penetration of renewable energy distribution generations enables the concept of microgrids and is widely accepted for future power systems. In this context, the DC microgrid is preferred due to easy integration, less system losses and offer high reliability and efficiency compared to its counterparts. However, the constant power loads (CPL) are a risk to the stability of the power electronics devices due to their negative impedance characteristics and also effects the voltage quality. To overcome these conditions, this paper proposes advanced artificial intelligence-based control of DC/DC converter to regulate the DC voltage in DC microgrid (MG) applications. At the start, model predictive control is implemented as an expert to control the studied converter to extract the dataset. The extracted dataset is used to train the proposed artificial neural network (ANN). The proposed controller is tested under various operating conditions while feeding the constant power loads. The proposed controller presents a superior transient response compared to conventional model predictive control (MPC). The experimental validation of the proposed scheme is carried out by implementing the controller on the FPGA ZYBO Z7-7020 board. The results are also compared with the conventional PI control. The proposed control technique has less computational burden and mitigates destabilizing effects caused by the CPLs. © 2023 ieee.

关键词： controllers

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A Parallel Read-Write Circuit Design for Driving Memristor Crossbar Array

A Parallel Read-Write Circuit Design for Driving Memristor C...

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2023 International Conference on Neuromorphic Computing, ICNC 2023

作者： Jiang, Ningye Jiang, Mingxuan Zeng, Zhigang Huazhong University of Science and Technology School of Artificial Intelligence and Automation Wuhan430074 China Huazhong University of Science and Technology School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan430074 China

ISBN: (纸本)9798350316889

Memristor crossbar array is considered as a promising circuit module for accelerating neural networks. Because the memristor is tunable and multi-state, it is important to design applicable Read-Write (RW) circuit for driving memristor crossbar array. In this paper, a novel RW circuit based on analog circuits is proposed for tuning memristors in high-dimensional array parallelly, which is scalable and low-overhead. The standalone RW circuit schematic is presented for reading/writing single memristor and verified in circuit simulation. Then, we extend and apply this circuit into a two-dimensional memristor crossbar array. The performance of memristor crossbar array controlled by designed RW circuits is verified via the simulations under various machine learning datasets. The comparison with related works is presented, which demonstrates the advantages of the proposed RW circuit regarding overhead and anti-error. © 2023 ieee.

关键词： Memristors

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Implementation of Zigbee-GSM Based Home Security Monitoring and Remote-control System 5th

Implementation of Zigbee-GSM Based Home Security Monitoring ...

引用

5th Doctoral symposium on computational intelligence, DoSCI 2024

作者： Walia, Vishal Singh, Indarjeet Allemki, Santhosh Kumar Boddukoori, Divya Department of ECE Guru Nanak Institute of Technology Hyderabad Hyderabad India Department of ECE Sridevi Women’s Engineering College Hyderabad Hyderabad India Department of CSE Guru Nanak Institute of Technical Campus Hyderabad Hyderabad India

ISBN: (纸本)9789819771776

Since ages, mankind has a deep concern about home security due to apprehensions regarding safekeeping, monitoring, and controlling various assets. With the lapse of time this concern is growing day by day. With various technological advancements and updated skills, it becomes very much desirable to monitor, reliably and remotely control the real time operations of our home. There are certainly many stunning benefits of deploying state-of-the-art, home automation systems with an user friendly interface. This paper certainly presents one of the innovative home security and automation system. The proposed system uses ZigBee based Interfaced sensors forming a control unit/console. Suspicious activities are conveyed to the remote user either through SMS or over a call over GSM technology. In reply to this suspicion activity the remote user can again access to the premises through a combination of ZigBee and GSM. Whereas the traditional alarm systems are designed to enhance the security in one-way only i.e., from home to the remote user but no corrective action could be sent from the remote user to home. This system provides a cost-effective, user-friendly way of a reliable and portable monitoring system with very less power consumption and an effectively controlled secure environment. The software code is in C language which uses the concept of serial communication and attention and Terminal commands. Zigbee EM 357, Atmega 128 microcontroller and Sony Ericson T 290i basic mobile phone is used for the hardware implementation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Zigbee

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Optimization of a Prefractionation Column Using Improved Firefly Algorithm 8

Optimization of a Prefractionation Column Using Improved Fir...

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8th International symposium on Computer Science and Intelligent control, ISCSIC 2024

作者： Huang, Yifan Wang, Bin Wang, Zeyu Jin, Qibing Institute of Automation College of Information Science and Technology Beijing University of Chemical Technology Beijing China National Pipeline Corporation Beijing Pipeline Co. Ltd. Beijing China

ISBN: (纸本)9798350380286

Crude oil refining is an important part of the chemical industry. The separation of different components in crude oil is realized by distillation columns. To optimize distillation columns, operating variables need to be set properly. Heuristic optimization algorithms are suitable for a variety of optimization problems, and more easily extended to large-scale optimization problems. The firefly algorithm is inspired by the luminescence and attraction behavior of fireflies in nature. In order to solve the problem that standard firefly algorithm is easy to fall into a local optimum, a dynamic switching strategy is introduced to the new improved firefly algorithm. The location update strategy could dynamically switch between focus on global optimization and local optimization. The switch is triggered by the consecutive generation times of unchanged optimal value of objective function. The improved firefly algorithm is implemented to optimize a prefractionation column which is modelled from a real refinery using Aspen Plus and MATLAB, and its performance is compared with standard firefly algorithm. © 2024 ieee.

关键词： Crude oil

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Visual Analysis of High Dam Based on Digital Twin Technology 7

Visual Analysis of High Dam Based on Digital Twin Technology

引用

2023 7th International symposium on Computer Science and Intelligent control, ISCSIC 2023

作者： Jiang, Kunhong Tang, Rong Chai, Xinyao Liu, Simin Liu, Zhigui Li, Li Southwest University of Science and Technology Sichuan Eng. Technology Research Center of Industrial Self-Supporting and Artificial Intelligence Mianyang China

ISBN: (纸本)9798350342987

To solve the problem that high dams have high data dimension, high collection density and it is difficult for traditional data analysis methods to obtain effective information from large amounts of data in the construction of water conservancy projects, this paper puts forward a visualization analysis of high dams based on digital twin technology, which realizes the construction of virtual high dams and real-time feedback of virtual high dams to real high dams through the modeling and data reuse of Physical high dams. © 2023 ieee.

关键词： Visualization

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