A fundamental assumption of the tcp protocol is that packet losses indicate congestion on the network. This is a problem when using tcp over wireless links, because a noisy radio transmission may erroneously indicate ...
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A fundamental assumption of the tcp protocol is that packet losses indicate congestion on the network. This is a problem when using tcp over wireless links, because a noisy radio transmission may erroneously indicate congestion and thereby reduce the tcp sending rate. Two partial solutions, which improve the quality of the radio link, are power control and link-layer retransmissions. We consider a radio channel with multiple users and traffic classes, and investigate how parameters in the radio model influences tcp-related quality measures, such as the average delay and the probability of spurious timeout. The results indicate that the outer loop power control is robust to uncertainties in the radio model. This robustness property supports separation between the radio layer design and the ip and tcp layers.
In this paper a new algorithm for local estimation for approximating a function by means of local models is introduced. The instant or in-time estimation provides an attractive alternative for nonlinear identification...
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In this paper a new algorithm for local estimation for approximating a function by means of local models is introduced. The instant or in-time estimation provides an attractive alternative for nonlinear identification, since it requires less structural decisions to be made by the user. It represents a hybrid between local and global modeling. This estimation procedure is combined with a predictive control algorithm with a modification cost function for efficient control. Simulation results are provided to show the results of the proposed approach.
This paper deals with the analysis of acoustic biomedical signals, especially the infant cry. A plenty of important information is comprehended in the infant cry (e.g. the mood of the baby, the condition of the organ ...
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ISBN:
(纸本)0889864780
This paper deals with the analysis of acoustic biomedical signals, especially the infant cry. A plenty of important information is comprehended in the infant cry (e.g. the mood of the baby, the condition of the organ of speech, other physiological parameters, etc.). As these factors are not severable in the reality, this information has to be treated together during the acoustical analysis. Authors judge it necessary to adopt algorithms from other fields of the acoustic technique (e.g. audio segmentation);to digitize former analogue methods of examination (e.g. noting down the melody of the cry);and to combine these techniques. This study summarizes the major procedures and parameters by the analysis of the infant cry.
In this paper we develop a priori stabilization conditions for infinity norm based hybrid MPC in the terminal cost and constraint set fashion. Closed-loop stability is achieved using infinity norm inequalities that gu...
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This paper deals with the data-driven design of observer based FDI systems. The basic idea is to identify parity space and the related matrices, instead of a state space model of the process under consideration, direc...
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This paper deals with the data-driven design of observer based FDI systems. The basic idea is to identify parity space and the related matrices, instead of a state space model of the process under consideration, directly from test data. The proposed method can be used for the data-driven design of parity space, observer and kalman filter based FDI systems.
Variability of hue and saturation components is an important drawback for developing accurate color image segmentation algorithms based on HSI spaces: different colors can return similar color components because of th...
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Variability of hue and saturation components is an important drawback for developing accurate color image segmentation algorithms based on HSI spaces: different colors can return similar color components because of the different illumination levels, and the components of a color change accordingly to the illumination level. To avoid these problems within color segmentation algorithms, we propose a method that, based on predicted hue and saturation deviations, provides the reliability degree of the H-S color components based obtained HIS values. The reliability degree has been used for improving color classification results
In this paper, a model-based scheme is presented for the detection and isolation of sensor faults in the vehicle lateral dynamics control systems. Core of the scheme is the handling of model uncertainties. This scheme...
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In this paper, a model-based scheme is presented for the detection and isolation of sensor faults in the vehicle lateral dynamics control systems. Core of the scheme is the handling of model uncertainties. This scheme has been successfully tested using real driving data.
In robotic operations where a manipulator is involved, it is well-known that the quantities measured by a wrist force/torque sensor are corrupted by the dynamics of the end effector and manipulator. To solve this prob...
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In robotic operations where a manipulator is involved, it is well-known that the quantities measured by a wrist force/torque sensor are corrupted by the dynamics of the end effector and manipulator. To solve this problem, an observer, which fuses information from force sensors and accelerometers, was designed recently in order to estimate the contact force exerted by a manipulator to its environment [1]. This paper introduced a high-speed, high-accuracy, versatile, simple, and fully autonomous technique for the calibration of this robotic manipulator 3D force observer by means of active motion. To verify the improvement, an impedance control scheme was used. A dynamic model of the robot-grinding tool using the new sensors was obtained by system identification. The experiments were carried out on an ABB industrial robot with open control system architecture.
Multi parameteric quadratic programming gives a full offline solution to a time varying quadratic programming (QP) problem arising during constrained predictive control. However, coding and implementation of this solu...
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K nearest-neighbor classification is an important method in pattern recognition. However, its computation complexity limits its real-time applications. The partial distance search is a solution to this problem. Althou...
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ISBN:
(纸本)0780386035
K nearest-neighbor classification is an important method in pattern recognition. However, its computation complexity limits its real-time applications. The partial distance search is a solution to this problem. Although it is not very effective, it can be combined with other algorithms to reduce the complexity. This paper proposes an indexing method that uses the variance vector of feature vectors of design set, to improve the efficiency of the partial distance search. The experimental results indicate the effectiveness of this indexing preprocessing.
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