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2003 European control Conference, ECC 2003

作者： Yu, Wensheng Wang, Long Ackermann, Jürgen Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing100080 China Center for Systems and Control Department of Mechanics and Engineering Science Peking University Beijing100871 China Robust Control Group Institute of Robotics and Mechatronics German Aerospace Center DLR-Oberpfaffenhofen Postfach 1116 WesslingD-82230 Germany

For any two n-th order polynomials a(s) and b(s), the Hurwitz stability of their convex combination is necessary and sufficient for the existence of a polynomial c(s) such that c(s)/a(s) and c(s)/b(s) are both strictl... 详细信息

ISBN: (纸本)9783952417379

关键词： Polynomials

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A robust general Voronoi graph based SLAM for a hyper symmetric environment

A robust general Voronoi graph based SLAM for a hyper symmet...

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IEEE International Workshop on intelligent Robots and Systems (IROS)

作者： Nakju Lett Doh Wan Kyun Chung SungOn Lee SangRok Oh BumJae You Robotics & Bio-Mechatronics Laboratory Mechanical Engineering Pohang University of Science and Technology Pohang South Korea Intelligent System Control Laboratory Korea Institute of Science and Technology Seoul South Korea

ISBN: (纸本)0780378601

In this paper, an algorithm for hyper symmetric environment simultaneous localization and mapping (SLAM) is developed based on the generalized Voronoi graph. The hyper symmetric environment is a challenging environment for the SLAM and the most difficult problem on this is a data association. To redeem this problem, we propose three techniques. The first one is a breadth first node navigation algorithm which highly reduces the complexity of the data association. The second scheme is an odometry calibration method which converts untrustable odometry into reliable one. The third method is a multi layered data association scheme. We integrate above three techniques into one framework and propose a SLAM algorithm for the hyper symmetric environment. The simulation result shows that the proposed algorithm can successfully cover a large hyper symmetric environment under 20% odometry uncertainty.

关键词： Robustness Simultaneous localization and mapping Navigation Calibration Uncertainty Topology Robots Biomechatronics Mechanical engineering intelligent systems

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Integration of topological and metric maps for indoor mobile robot path planning and navigation 2nd

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2nd Hellenic Conference on Artificial Intelligence, SETN 2002

作者： Zavlangas, Panagiotis G. Tzafestas, Spyros G. Intelligent Robotics and Automation Laboratory Signals Control and Robotics Division Department of Electrical and Computer Engineering National Technical University of Athens Zografou Athens15773 Greece

ISBN: (纸本)3540434720

Autonomous mobile robots need to use spatial information about the environment in order to effectively plan and execute navigation tasks. The information can be represented at different levels of abstraction, ranging from detailed geometric maps to coarse topological maps. Each level is adequate for some sub-task, but not for others. In this paper, we consider the representation of spatial knowledge at two different levels of abstraction, which are commonly considered in the robotics literature: the geometric level, and the topological level. We propose to represent the environment by local metric maps connected into a topological network. This technique allows us to use maps that are not metrically consistent on the global scale, although they are metrically consistent locally. The structure allows also the combination of abstract global reasoning and precise local geometric computations. Moreover, this structure reflects the typical organization of indoor environments, where rooms and hallways define independent but connected local working spaces. To navigate in the environment, the robot uses the topological information to plan a sequence of sectors to traverse, and uses the metric information in each sector to locally move within the sector and to the next one. The functioning of the proposed system with respect to omnidirectional mobile robots and results of simulated experiments are presented. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Abstracting

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Optimal genetic representation of complete strictly-layered feedforward neural networks

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6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001

作者： Raptis, Spyros Tzafestas, Spyros Karagianni, Hermione Intelligent Robotics and Automation Laboratory Division of Signals Control and Robotics Department of Electrical and Electronic Engineering National Technical University of Athens Zographou Campus Athens15773 Greece

ISBN: (纸本)9783540422372

The automatic evolution of neural networks is both an attractive and a rewarding task. The connectivity matrix is the most common way of directly encoding a neural network for the purpose of genetic optimization. However, this representation presents several disadvantages mostly stemming from its inherent redundancy and its lack of robustness. We propose a novel representation scheme for encoding complete strictly-layered feedforward neural networks and prove that it is optimal in the sense that it utilizes the minimum possible number of bits. We argue that this scheme has a number of important advantages over the direct encoding of the connectivity matrix. It does not suffer from the curse of dimensionality, it allows only legal networks to be represented which relieves the genetic algorithm from a number of checking and rejections, and the mapping from the genotypes to phenotypes is one-to-one. Additionally, the resulting networks have a simpler structure assuring an easier learning phase. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Genetic algorithms

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Robust synchronizing motion control of twin-servo systems based on network modeling

Robust synchronizing motion control of twin-servo systems ba...

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IEEE Conference on Decision and control

作者： Bong Keun Kim Wan Kyun Chung Il Hong Suh Robotics & Bio-Mechatronics Laboratory Pohang University of Science and Technology South Korea Intelligent Control & Robotics Laboratory Hanyang University South Korea

ISBN: (纸本)0780366387

In this paper, a robust control method for synchronizing motions of a twin-servo system is proposed. Using the correspondence between the mathematical modeling and the circuit representation, a network representation of twin-servo system is proposed. And a stabilizing control input is designed based on robust internal-loop compensator for the separate system in the presence of uncertainty and disturbance. Skew motion compensating control input is also designed to maintain the synchronizing motion during high speed motion. The stability of the whole closed-loop system is proved based on passivity theory. Through experiments using a semiconductor chip mounting device, the performance of the proposed method is evaluated.

关键词： Robust control Motion control Adaptive control control systems Uncertainty intelligent robots Stability analysis Damping Biomechatronics intelligent control

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Application of a genetic algorithm in triangulation of a 3-D object surface

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International Journal of Computers and Applications 2000年第2期22卷 73-77页

作者： Zhenyu, Chen Mbede, J.B. Yan, Zhou Dehua, Li Hanping, Hu State Commn. Res. Open Lab. Image P. Inst. Pattern Recog. Artif. Intell. Huazhong Univ. of Sci. and Technol. 430074 Wuhan China Intelligent Contr. and Robotics Lab. Dept. of Contr. Sci. and Engineering Huazhong Univ. of Sci. and Technol. 430074 Wuhan China Second Artillery Institute Huazhong Univ. of Sci. and Technol. Inst. Pattern Recog. Artif. Intell. Huazhong Univ. of Sci. and Technol. Second Artillery Institute China Wuhan University China Artificial Intelligence Department University of Edinburgh Inst. of AI and Pattern Recognition Huazhong Univ. of Sci. and Technol. China Cogn. Sci. Natl. Key Found. Res. P. Douala University Cameroon Tübingen University Germany Automatic Control Laboratory Darmstadt University Department of Service Cameroon Min. of National Education Robotics Laboratory Huazhong Univ. of Sci. and Technol. Wuhan China Assoc. Connectionnistes These-ACTH Rennes France IEEE Soc. of Robotics and Automation IEEE Society of Control Systems IASTED Assoc. Jeunes Chercheurs Robotique France Navy University of Engineering China Huazhong Univ. of Sci. and Technol. China Department of Computer Science Airforce Radar Acad. of Engineering China Inst. of P.R and AI Huazhong Univ. of Sci. and Technol.

This paper proposes a genetic-based algorithm for surface reconstruction of three-dimension (3-D) objects from a group of contours representing its section plane lines. The algorithm can optimize the triangulation of the surface of 3-D objects with a multi-objective optimization function to meet the needs of a wide range of applications. Further, a new crossover operator for triangulation and a new 3-D quadrilateral mutation operator are also introduced.

关键词： Object recognition

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An adaptive learning control approach

An adaptive learning control approach

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IEEE Conference on Decision and control

作者： Z. Geng M. Jamshidi R. Carroll R. Kisner Intelligent Automation Inc. Rockville MD USA CAD Laboratory of Robotics University of New Mexico Albuquerque NM USA Department of Electrical Engineering George Washington University DC USA Control & Instrumentation Division Oak Ridge National Laboratory Oak Ridge TN USA

An adaptive learning control approach is proposed which combines a mechanism to improve the control input sequence as well as to improve the learning control scheme based on the knowledge learned about the unknown system and environment. The iterative learning control problem is treated from the 2D system point of view. A 2D model for a class of iterative learning control system is formulated. A learning gain estimator algorithm based on the 2D model is presented. The overall learning control system structure is given. The proposed learning control scheme does not require prior knowledge of the controlled system and has the ability to generalize the knowledge learned from one task operation to other tasks. This scheme can be applied to nonlinear system control problems. To demonstrate the feasibility of the proposed learning algorithm, simulation results on learning control for a three-water-tank system are given. The results show an excellent learning performance, even for nonrepetitive tasks.< >

关键词： Programmable control Adaptive control control systems Nonlinear control systems Error correction control system synthesis Automatic control robotics and automation Iterative algorithms Three-term control

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A learning control scheme with gain estimator

A learning control scheme with gain estimator

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IEEE International Symposium on intelligent control (ISIC)

作者： Z. Geng M. Jamshidi R. Carroll R. Kisner Intelligent Automation Inc. Rockville MD USA CAD Laboratory of Robotics University of New Mexico Albuquerque NM USA Department of Electrical Engineering George Washington University Washington D.C. DC USA Control and Instrumentation Division Oak Ridge National Laboratory Oak Ridge TN USA

An adaptive learning control approach is proposed that combines a mechanism to improve control input sequence as well as to improve the learning control scheme based on the knowledge learned about unknown system and environment. First, the iterative learning control problem is treated from the 2-D system point of view. A 2-D model for a class of iterative learning control systems is formulated. Then a learning gain estimator algorithm based on the 2-D model is presented. The overall learning control system structure is given.< >

关键词： control systems Automatic control Three-term control Inverse problems intelligent robots robotics and automation Service robots Laboratories Electrical equipment industry Industrial control

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Manufacturing Systems control Design 1

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丛书名： Advances in Industrial control

1000年

作者： Stjepan Bogdan Zdenko Kovačić Frank L. Lewis José Mireles

ISBN: (数字)9781846283345

ISBN: (纸本)9781852339821;9781849969895

The series Advances in Industrial control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. In some areas of manufacturing, the elements of a flexible manufacturing system form the key components of the process line. These key components are four-fold: a set of programmable robots and machines, an automated materia- handling system that allows parts to be freely routed and re-routed, a buffer storage system where parts and partly-assembled components can wait until required for further processing and assembly and finally, a supervisory control system. The technology employed to coordinate and control all these components as a working system is usually based on programmable logic controllers. The use of this automation hardware and software in manufacturing is designed to yield significant cost reductions and to enhance quality.

关键词： control and Systems Theory Industrial and Production Engineering Manufacturing, Machines, Tools, Processes Simulation and Modeling Linear and Multilinear Algebras, Matrix Theory Industrial Organization

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