In this paper, we introduce a fuzzy distributed artificial intelligence (FDAI) approach. Through the use of fuzzy logic, we have been able to develop mechanisms that we feel may effectively improve current DAI systems...
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In this paper, we introduce a fuzzy distributed artificial intelligence (FDAI) approach. Through the use of fuzzy logic, we have been able to develop mechanisms that we feel may effectively improve current DAI systems, giving much more flexibility and providing the subsidies which a formal theory can bring. The appropriateness of the FDAI approach is explored in an important application, a fuzzy distributed traffic-light control system, where we have been able to aggregate and study several issues concerned with fuzzy and distributed artificial intelligence. We also present a number of current research directions necessary to develop the FDAI approach more fully.< >
This paper presents two fuzzy multivariable control structures based on a qualitative modelling of a process. We use a benchmark to compare the results obtained with the fuzzy strategies and those with an LQ control law.
This paper presents two fuzzy multivariable control structures based on a qualitative modelling of a process. We use a benchmark to compare the results obtained with the fuzzy strategies and those with an LQ control law.< >
This paper describes the use of fuzzy logic for the active control of a distributed broadband noise source modelled by multiple primary sources with low correlation between them. The early signals are collected from s...
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This paper describes the use of fuzzy logic for the active control of a distributed broadband noise source modelled by multiple primary sources with low correlation between them. The early signals are collected from several early microphones placed near the sources. In addition to its ease of implementation and to making explicit the heuristic rules of control, the fuzzy logic approach localizes the control for each early microphone/loudspeaker pair, making it work as an independent unit. The use of several, independent central units offers improved computational efficiency, which is critical for situations when the source is non-stationary, and offers the potential for parallelization.< >
This paper documents the work on a method for information fusion for the purpose of classification. The decision system proposed is an active system, which does not always fuse the decisions from all the sensors avail...
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This paper documents the work on a method for information fusion for the purpose of classification. The decision system proposed is an active system, which does not always fuse the decisions from all the sensors available. The decision module is a fuzzy system, performing the generalized mean operation. The final decision is obtained from the aggregated decision by means of /spl alpha/-cuts. The fusion method developed is applied to the problem of vibration analysis and the fusion results are described. The decisions to be fused are obtained using neural networks.< >
We propose a new network architecture for personal communication services that provides transparent connectivity to different physical networks and user service customization. User information in this network is manag...
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We propose a new network architecture for personal communication services that provides transparent connectivity to different physical networks and user service customization. User information in this network is managed independently by distributed personal agents (PAs) which are identified by their user's personal ID. PAs interact with each other to establish the best communication paths between their users according to their states.< >
Tactile sensors are a class of robotic sensors capable of measuring contact interaction between a robotic gripper and a grasped object. Tactile sensors are an important source of dynamic information for real-time grip...
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Tactile sensors are a class of robotic sensors capable of measuring contact interaction between a robotic gripper and a grasped object. Tactile sensors are an important source of dynamic information for real-time gripper control during manipulation tasks. To be effective, this dynamic information must be used as part of a real-time control scheme because many of the conditions indicated by the tactile sensor require immediate attention (typically in milliseconds or less). One important application of dynamic tactile data is the tracking of objects in real time. This paper discusses a tracking system that was implemented to prove the feasibility of using a tactile sensor and fuzzy logic to track objects in real time. The system as implemented used a tactile sensor, an X-Y table, a personal computer and custom fuzzy-logic software. It successfully tracked objects at speeds in excess of 1 ms/sup -1/.< >
Various existing dynamic channel assignment (DCA) strategies are introduced first and a new distributed DCA algorithm is proposed in the paper. Based on local observations of the reuse cluster, the algorithm attempts ...
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ISBN:
(纸本)0780318234
Various existing dynamic channel assignment (DCA) strategies are introduced first and a new distributed DCA algorithm is proposed in the paper. Based on local observations of the reuse cluster, the algorithm attempts to minimize the reuse distance of the allocated channels and to keep channel reassignments under control. System performance of the proposed algorithm is analysed and compared with other DCA algorithms. Simulation results show that, under certain conditions, the algorithm may approximate blocking performance of the centrally optimized maximum packing (MP) algorithm.< >
distributed control is indispensable to any personal communication service. However, distributed control makes it difficult to obtain the required frequency bandwidth considering the offered traffic and interference b...
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distributed control is indispensable to any personal communication service. However, distributed control makes it difficult to obtain the required frequency bandwidth considering the offered traffic and interference because there is no definite relationship between the base stations and the channels that they use. This paper proposes the virtual frequency reuse pattern, namely a virtual cluster size. The virtual cluster size gives the number of required control channels on a TDMA frame, assuming that once selected, the base station permanently uses the same control channel. The upper bound and the lower bound of the virtual cluster size are obtained theoretically and the practical virtual cluster size is obtained by computer simulations. Traffic channel assignment by dynamic channel allocation is designed for street microcellular systems as well. Both synchronized and asynchronized TDMA frames between base stations are discussed in this study. The optimum radio access method (TDMA/TDD or FDD) following all system conditions is reported in this paper.< >
Deals with fuzzy signals at the input of a fuzzy controller. Commonly, almost all theoretical considerations and practical applications of fuzzy control deal with crisp signals fed to the input of the controller. In o...
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Deals with fuzzy signals at the input of a fuzzy controller. Commonly, almost all theoretical considerations and practical applications of fuzzy control deal with crisp signals fed to the input of the controller. In order to take into account side-effects arising with the use of sensory information, such as noise or spatial distribution of a signal, it is of interest to show how the control loop behaves in the presence of fuzzy signals. In this paper, some useful operations on fuzzy sets are first described, especially time-varying membership functions and their derivatives. On this basis, sliding mode control and a related fuzzy control strategy are applied to fuzzy signals. In this context, stability and robustness are discussed. Simulation results compare the method of using inputs with the fuzzy input approach.< >
This paper reports the application of fuzzy logic to signal interpretation in the biomedical environment of artificial ventilation. The problem analyzed is cough detection in pressure data measured while mechanically ...
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This paper reports the application of fuzzy logic to signal interpretation in the biomedical environment of artificial ventilation. The problem analyzed is cough detection in pressure data measured while mechanically ventilating a human subject. Data from volunteers breathing through a mouthpiece was analyzed. The results suggest that the proposed approach is in fact able to distinguish between data with and without coughing. This discrimination is important for consistent monitoring of patient characteristics in the clinical environment.< >
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