2014 IEEE International Symposium on Intelligent Control (ISIC)最新文献

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Passivity based stabilization of nonlinear 2D systems with application to iterative learning control 非线性二维系统无源镇定及其在迭代学习控制中的应用
2014 IEEE International Symposium on Intelligent Control (ISIC) Pub Date : 2014-10-01 DOI: 10.1109/ISIC.2014.6967603
J. Emelianova, P. Pakshin, K. Gałkowski, E. Rogers
{"title":"Passivity based stabilization of nonlinear 2D systems with application to iterative learning control","authors":"J. Emelianova, P. Pakshin, K. Gałkowski, E. Rogers","doi":"10.1109/ISIC.2014.6967603","DOIUrl":"https://doi.org/10.1109/ISIC.2014.6967603","url":null,"abstract":"The paper considers nonlinear discrete-time repetitive processes using the state-space model setting. A form of passivity, termed G-passivity, is introduced and used, together with a vector storage function, to develop a new design for output feedback based control to guarantee exponential stability of the controlled system. An extension to repetitive processes with possible failures, modeled by finite state Markov chain, is also given. Finally, these new results are applied to iterative learning control design in the presence of sensor failures.","PeriodicalId":309111,"journal":{"name":"2014 IEEE International Symposium on Intelligent Control (ISIC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117329850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Particle Swarm Optimization for source localization in environment with obstacles 基于粒子群算法的障碍物环境源定位
2014 IEEE International Symposium on Intelligent Control (ISIC) Pub Date : 2014-10-01 DOI: 10.1109/ISIC.2014.6967626
Rui Zou, Mengzhe Zhang, Vijay Kalivarapu, E. Winer, S. Bhattacharya
{"title":"Particle Swarm Optimization for source localization in environment with obstacles","authors":"Rui Zou, Mengzhe Zhang, Vijay Kalivarapu, E. Winer, S. Bhattacharya","doi":"10.1109/ISIC.2014.6967626","DOIUrl":"https://doi.org/10.1109/ISIC.2014.6967626","url":null,"abstract":"In this paper, we address the problem of seeking a source that emits signal described by a function that is radially symmetric, and decays with increasing distance in a complex environment with obstacles. Electromagnetic signals, acoustic signals, vapor emission, etc, are examples of such signals. In contradistinction to existing techniques, we use a non-gradient based technique known as Particle Swarm Optimization (PSO) to overcome the difficulties posed due to lack of a mathematical model for the decay profile in real scenarios. We propose static and dynamic obstacle avoidance strategies, and integrate them with PSO in the source seeking problem. Finally, we validate the effectiveness of our strategies with simulation and experiments.","PeriodicalId":309111,"journal":{"name":"2014 IEEE International Symposium on Intelligent Control (ISIC)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133811435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Control of a two-DoF manipulator equipped with a pnr-variable stiffness actuator 基于pnr变刚度作动器的二自由度机械臂控制
2014 IEEE International Symposium on Intelligent Control (ISIC) Pub Date : 2014-10-01 DOI: 10.1109/ISIC.2014.6967620
Francesco Romano, Luca Fiorio, G. Sandini, F. Nori
{"title":"Control of a two-DoF manipulator equipped with a pnr-variable stiffness actuator","authors":"Francesco Romano, Luca Fiorio, G. Sandini, F. Nori","doi":"10.1109/ISIC.2014.6967620","DOIUrl":"https://doi.org/10.1109/ISIC.2014.6967620","url":null,"abstract":"Recently, new trends in robotics have proposed variable stiffness actuators (VSA) as an alternative to the classical actuator design, based on a rigid coupling between motors and actuated joints. These novel technologies ask for novel control and planning strategies. In the present paper we consider the problem of motion planning for a specific class of VSA. This class, named passive noise rejecting VSA (pnrVSA) is capable of rejecting noise without explicitly resorting to feedback. Passive noise rejecting actuators call for new planning and control strategies. In this paper we apply an open-loop control obtained as the solution of a stochastic optimal control problem solved with path integral (PI) approach. Specific focus is on obtaining a feedback-free numerical solution which emphasizes the peculiar characteristics of the pnrVS actuator. The proposed numerical technique is applied to control a two-DOF manipulator equipped with pnrVS actuators. It is shown that stochastic optimal control can successfully simulate an highly unstable task consisting of pushing against an unstable wall in presence of instability and noise. The proposed task is reminiscent of real tasks such as screwing and carving.","PeriodicalId":309111,"journal":{"name":"2014 IEEE International Symposium on Intelligent Control (ISIC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130662225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Data-driven model-free control of twin rotor aerodynamic systems: Algorithms and experiments 双转子气动系统数据驱动的无模型控制:算法与实验
2014 IEEE International Symposium on Intelligent Control (ISIC) Pub Date : 2014-10-01 DOI: 10.1109/ISIC.2014.6967639
M. Radac, Raul-Cristian Roman, R. Precup, E. Petriu
{"title":"Data-driven model-free control of twin rotor aerodynamic systems: Algorithms and experiments","authors":"M. Radac, Raul-Cristian Roman, R. Precup, E. Petriu","doi":"10.1109/ISIC.2014.6967639","DOIUrl":"https://doi.org/10.1109/ISIC.2014.6967639","url":null,"abstract":"This paper suggests new data-driven Model-Free Control (MFC) and Model-Free Adaptive Control (MFAC) algorithms for Multi Input-Multi Output (MIMO) twin rotor aerodynamic systems. The discrete-time formulation of the algorithms is given in the framework of a MIMO control system structure with azimuth and pitch position control loops. The MFC and MFAC algorithms are validated by a set of experimental results on representative laboratory equipment. The performance comparison of the MFC- and MFAC-based MIMO control systems and azimuth and pitch position control is carried out considering three experimental scenarios.","PeriodicalId":309111,"journal":{"name":"2014 IEEE International Symposium on Intelligent Control (ISIC)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123751874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 18
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