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  1. Simulation

    Now we come to the point were we need to select simulation software to do all the crisp simulations staring in Chap. 7. The author is not an expert...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  2. Fuzzy Estimation

    sThe first thing to do is explain how we will get fuzzy numbers, and fuzzy probabilities, from a set of confidence intervals which will be...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  3. Fingerprint Recognition with Modular Neural Networks and Fuzzy Measures

    We describe in this chapter a new approach for fingerprint recognition using modular neural networks with a fuzzy logic method for response...
    Chapter
  4. Simulation Optimization

    In this chapter we discuss how we plan to solve the optimization problems attached to the simulation as expressed in (5-4)-(5-5) in Chap. 5, or...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  5. Voice Recognition with Neural Networks, Fuzzy Logic and Genetic Algorithms

    We describe in this chapter the use of neural networks, fuzzy logic and genetic algorithms for voice recognition. In particular, we consider the case...
    Chapter
  6. Optimizing a Production Line

    The simple production line considered in this chapter is shown in Fig. 20.1. This problem has been adapted from an example in [1]. This situation is...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  7. Queuing I: One-Step Calculations

    In this chapter we show situations where simulation can produce the same results as fuzzy calculations which employ the extension principle. We argue...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  8. Simulation Programs

    In this chapter we present some of the GPSS programs used in Chaps. 9–26. We had to omit many programs in order to keep this chapter. less that 20...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  9. Summary and Conclusions

    The first objective of this book is to explain how many systems naturally become fuzzy systems. The second objective is to show how regular (crisp)...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  10. Dependability of Mobile Robots in Direct Interaction with Humans

    Operating interactive mobile robots in unmodified natural environments such as in museums or at exposition areas impose requirements on the robots,...
    Chapter
  11. Next Generation Teach Pendants for Industrial Robots

    Teach pendants for industrial robots have sometimes been quite rudimentary in the past, and often enough users had to learn to cope with whatever is...
    Arif Kazi, Jens Bunsendal, ... Rainer Bischoff in Advances in Human-Robot Interaction
    Chapter
  12. Adaptive and Distributed Coordination Algorithms for Mobile Sensing Networks

    Consider n sites evolving within a convex polygon according to one of the following interaction laws: (i) each site moves away from the closest other...
    Francesco Bullo, Jorge Cortés in Cooperative Control
    Chapter
  13. 4 Co-existence: Physical Interaction and Coordinated Motion

    Co-existence an co-operation between a human and a machine which can move and act in an autonomous mode involves a form of interaction which goes...
    Prof. Dr. Erwin Prassler, Dr. Andreas Stopp, ... Prof. Dr.-Ing. Rüdiger Dillmann in Advances in Human-Robot Interaction
    Chapter
  14. The Robotic Bar – An Integrated Demonstration of a Robotic Assistant

    Coming out of the labs, the first robots are currently appearing on the consumer market. Initially they target rather simple application scenarios...
    G. v. Wichert, C. Klimowicz, ... M. Rinne in Advances in Human-Robot Interaction
    Chapter
  15. Flocking in Teams of Nonholonomic Agents

    The motion of a group of nonholonomic mobile agents is synchronized using local control laws. This synchronization strategy is inspired by the early...
    Herbert G. Tanner, Ali Jadbabaie, George J. Pappas in Cooperative Control
    Chapter
  16. Learning Behavioral Sequences by Means of Nonlinear Dynamics

    We present a software architecture for the behavioral organization of a mobile robot which is entirely based on nonlinear dynamical systems. The...
    Axel Steinhage, Thomas Bergener in Advances in Human-Robot Interaction
    Chapter
  17. The Control Architecture of Care-O-bot II

    Robot assistants act in dynamic environments and have to cope with changing situations: they must be able to sense the world and to control their...
    Chapter
  18. Robotic Home Assistant Care-O-bot II

    Technical aids allow elderly and handicapped people to live independently in their private homes as long as they wish. As a contribution to these...
    Matthias Hans, Birgit Graf in Advances in Human-Robot Interaction
    Chapter
  19. Statistical Recognition of Motion Patterns

    One key prerequisite for a machine to interact intelligently with people is its ability to recognize humans as interaction partners and to understand...
    Jörg Illmann, Boris Kluge, ... Matthias Strobel in Advances in Human-Robot Interaction
    Chapter
  20. Optimization of Image Compression Method Based on Fuzzy Relational Equations by Overlap Level of Fuzzy Sets

    A design method of coders on YUV color space is proposed based on an overlap level of fuzzy sets, in order to optimize the image...
    Hajime Nobuhara, Eduardo Masato Iyoda, ... Witold Pedrycz in Computational Intelligence for Modelling and Prediction
    Chapter
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