Proceedings of IEEE International Conference on Intelligent Engineering Systems最新文献_第8页

Design of the intelligent robotics systems from the biorobotics point of view 从生物机器人的角度设计智能机器人系统

Proceedings of IEEE International Conference on Intelligent Engineering Systems Pub Date : 1997-09-15 DOI: 10.1109/INES.1997.632404

J. N. Marcincin, L. Kárník, J. Niznik

引用次数: 6

Product modeling methods in collaborative engineering environments 协同工程环境下的产品建模方法

Proceedings of IEEE International Conference on Intelligent Engineering Systems Pub Date : 1997-09-15 DOI: 10.1109/INES.1997.632471

L. Horváth, T. Varga

引用次数: 1

Recovery and refinement of motion and structure from perspectively projected optical flow 从透视投影光流中恢复和细化运动和结构

Proceedings of IEEE International Conference on Intelligent Engineering Systems Pub Date : 1997-09-15 DOI: 10.1109/INES.1997.632458

Toshiharu Mukai, Noboru Ohnishi

引用次数: 0

A low-cost and low-weight attitude estimation system for an autonomous helicopter 一种用于自主直升机的低成本、低重量姿态估计系统

Proceedings of IEEE International Conference on Intelligent Engineering Systems Pub Date : 1997-09-15 DOI: 10.1109/INES.1997.632450

A. Baerveldt, R. Klang

引用次数: 216

Simulation of the electric drive system of electric rolling stocks 电动机车车辆电驱动系统仿真

Proceedings of IEEE International Conference on Intelligent Engineering Systems Pub Date : 1997-09-15 DOI: 10.1109/INES.1997.632446

Tibor Gajdar, Catalin, Yoshihiro, Eisuke

引用次数: 3

Approximate fuzzy reasoning based on interpolation in the vague environment of the fuzzy rulebase 在模糊规则库的模糊环境中，基于插值的近似模糊推理

Proceedings of IEEE International Conference on Intelligent Engineering Systems Pub Date : 1997-09-15 DOI: 10.1109/INES.1997.632394

S. Kovács, L. Kóczy

{"title":"Approximate fuzzy reasoning based on interpolation in the vague environment of the fuzzy rulebase","authors":"S. Kovács, L. Kóczy","doi":"10.1109/INES.1997.632394","DOIUrl":"https://doi.org/10.1109/INES.1997.632394","url":null,"abstract":"In many practical applications of fuzzy logic controllers, fuzzy sets are used to describe a vague value, a value and a kind of density information on the antecedent and consequent universes of the fuzzy rule base. In this case the antecedent and consequent fuzzy partitions (formed by these primary fuzzy sets) can be described by vague environments. Using the concept of vague environment characterized by scaling functions instead of the linguistic term fuzzy sets gives a simple way for fuzzy approximate reasoning. Comparing the description of a universe given by a fuzzy partition to the way of using the concept of vague environment, we can say that the linguistic terms of the fuzzy partition are crisp points in the vague environment, while the shapes of the fuzzy sets (density information) are described by the scaling function. The primary fuzzy sets of the antecedent and the consequent parts of the fuzzy rules can be characterised by crisp points in their vague environments, so the fuzzy rules themselves are points in their vague environment too (in the vague environment of the fuzzy rule base). It means, that the question of approximate fuzzy reasoning can be reduced to the problem of interpolation of the rule points in the vague environment of the fuzzy rule base relation. In other words, using the concept of vague environment, in most cases we can build approximate fuzzy reasoning methods simple enough to be a good alternative to the classical Compositional Rule of Inference (CRI) methods in practical applications. In this paper two methods of approximate fuzzy reasoning based on interpolation in the vague environment of the fuzzy rule base, and a comparison of these methods to the classical CRI are introduced.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130594855","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: 24

ROANS - intelligent simulation and programming system for robots and automated workcell 机器人和自动化工作单元的智能仿真和编程系统

Proceedings of IEEE International Conference on Intelligent Engineering Systems Pub Date : 1997-09-15 DOI: 10.1109/INES.1997.632460

P. Petruska, J. N. Marcincin, M. Doliák

引用次数: 12

Integration of manufacturing computer networks and real-time communication nodes 集成制造计算机网络和实时通信节点

Proceedings of IEEE International Conference on Intelligent Engineering Systems Pub Date : 1997-09-15 DOI: 10.1109/INES.1997.632467

P. Marino, F. Poza, J. Nogueira

引用次数: 0

Energetically optimal cruising motion of robots 机器人的能量最优巡航运动

Proceedings of IEEE International Conference on Intelligent Engineering Systems Pub Date : 1997-09-15 DOI: 10.1109/INES.1997.632440

J. Somló, A. Loginov

{"title":"Energetically optimal cruising motion of robots","authors":"J. Somló, A. Loginov","doi":"10.1109/INES.1997.632440","DOIUrl":"https://doi.org/10.1109/INES.1997.632440","url":null,"abstract":"A robot motion is cruising when one of the velocities (joint or Cartesian) is at its limit value. When the path of the motion is given (CPC problem) it can be proved that time-optimal motion is realized when at least one of the joint velocities is at its maximum value. Which joint's velocity should be at maximum depends on the position in working space, and the maximum velocity values of joints, and can be determined by simple general method. The authors consider the following problem: The robot end effector centre point should move between two points (PTP problem) for minimum time and also satisfying the conditions of energetical optimality. A motion is energetically optimal when there is no energy lost for not needed changes of kinetic energy of the robot mechanisms. A simple method is given for the determination of minimum time cruising PTP motion. All of the realizable trajectories inside the attainable domain of motion realize minimum time. From these trajectories the energetically optimal can be determined using the dynamic model of robots in Riemann space. As side results, the problem of when the motion on a straight line takes more time than on some other, and energetically optimal motion along a given path, is also solved.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133849878","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

Smart bearings: developing a new technique for the condition monitoring of rotating machinery 智能轴承:开发用于旋转机械状态监测的新技术

Proceedings of IEEE International Conference on Intelligent Engineering Systems Pub Date : 1997-09-15 DOI: 10.1109/INES.1997.632469

K. Ayandokun, P. Orton, N. Sherkat, P. Thomas

引用次数: 5