Pelin Şekercioğlu;Bayu Jayawardhana;Ioannis Sarras;Antonio Loría;Julien Marzat
{"title":"无向符号网络上具有代理间约束的机器人机械手鲁棒编队控制","authors":"Pelin Şekercioğlu;Bayu Jayawardhana;Ioannis Sarras;Antonio Loría;Julien Marzat","doi":"10.1109/TCNS.2024.3462554","DOIUrl":null,"url":null,"abstract":"In this article, we address the problem of distributed control of a network of cooperative and competitive robot manipulators in end-effector coordinates. We propose a distributed bipartite formation controller that guarantees collision avoidance of the end-effectors. In the considered setting, two groups are formed and reach intergroup bipartite consensus or disagreement. On the other hand, the end-effectors achieve intragroup formation. To ensure that the end-effectors do not collide, we design gradient-based control laws using barrier-Lyapunov functions. In addition, the proposed controller ensures that the closed-loop system is robust to external disturbances. The latter are assumed to be generated by an exosystem, so they are effectively rejected by an internal-model-based compensator. More precisely, we establish the asymptotic stability of the bipartite formation manifold. Finally, we illustrate our theoretical results via numerical simulations.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 1","pages":"251-261"},"PeriodicalIF":4.0000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Robust Formation Control of Robot Manipulators With Interagent Constraints Over Undirected Signed Networks\",\"authors\":\"Pelin Şekercioğlu;Bayu Jayawardhana;Ioannis Sarras;Antonio Loría;Julien Marzat\",\"doi\":\"10.1109/TCNS.2024.3462554\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, we address the problem of distributed control of a network of cooperative and competitive robot manipulators in end-effector coordinates. We propose a distributed bipartite formation controller that guarantees collision avoidance of the end-effectors. In the considered setting, two groups are formed and reach intergroup bipartite consensus or disagreement. On the other hand, the end-effectors achieve intragroup formation. To ensure that the end-effectors do not collide, we design gradient-based control laws using barrier-Lyapunov functions. In addition, the proposed controller ensures that the closed-loop system is robust to external disturbances. The latter are assumed to be generated by an exosystem, so they are effectively rejected by an internal-model-based compensator. More precisely, we establish the asymptotic stability of the bipartite formation manifold. Finally, we illustrate our theoretical results via numerical simulations.\",\"PeriodicalId\":56023,\"journal\":{\"name\":\"IEEE Transactions on Control of Network Systems\",\"volume\":\"12 1\",\"pages\":\"251-261\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Control of Network Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10681470/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Control of Network Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10681470/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Robust Formation Control of Robot Manipulators With Interagent Constraints Over Undirected Signed Networks
In this article, we address the problem of distributed control of a network of cooperative and competitive robot manipulators in end-effector coordinates. We propose a distributed bipartite formation controller that guarantees collision avoidance of the end-effectors. In the considered setting, two groups are formed and reach intergroup bipartite consensus or disagreement. On the other hand, the end-effectors achieve intragroup formation. To ensure that the end-effectors do not collide, we design gradient-based control laws using barrier-Lyapunov functions. In addition, the proposed controller ensures that the closed-loop system is robust to external disturbances. The latter are assumed to be generated by an exosystem, so they are effectively rejected by an internal-model-based compensator. More precisely, we establish the asymptotic stability of the bipartite formation manifold. Finally, we illustrate our theoretical results via numerical simulations.
期刊介绍:
The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science. In particular, the journal addresses research on the analysis, design and implementation of networked control systems, as well as control over networks. Relevant work includes the full spectrum from basic research on control systems to the design of engineering solutions for automatic control of, and over, networks. The topics covered by this journal include: Coordinated control and estimation over networks, Control and computation over sensor networks, Control under communication constraints, Control and performance analysis issues that arise in the dynamics of networks used in application areas such as communications, computers, transportation, manufacturing, Web ranking and aggregation, social networks, biology, power systems, economics, Synchronization of activities across a controlled network, Stability analysis of controlled networks, Analysis of networks as hybrid dynamical systems.