Omni-directional mobile robots have been popularly employed in several applicationareas. However, the kinematics and singularity analysis for these systems has not been clearly identified. This paper introduces two di...
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Omni-directional mobile robots have been popularly employed in several applicationareas. However, the kinematics and singularity analysis for these systems has not been clearly identified. This paper introduces two different kinematic approaches for omni-directional mobile robots. Then, a singular-free load distribution scheme for redundantly actuated three-wheeled omni-directional mobile robot is proposed. Throughsimulation, several advantages of redundantly actuated mobile robot in aspect of singularity avoiance, input-load saving, and exploiting several subtasks are presented.
We present a new observation model to improve the state estimation and prediction in a target tracking problems. There are two distinguished points in this approach. First, the measurement equation is set up in the po...
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We present a new observation model to improve the state estimation and prediction in a target tracking problems. There are two distinguished points in this approach. First, the measurement equation is set up in the polar coordinate and even combines the derivation measurement (range rate, azimuth rate, and elevation rate) with the usual position measurements (range, azimuth angle, and elevation angle). Next, the observation noise of sensor data is considered as a colored one and is being set up as a model of AR(1), by means of a pseudo measurement equation, and the requirement of Kalman filter can be satisfied. As a result, the accuracy of both the observation and prediction is increased.
We consider the iterative learning control problem from a 2D systems/adaptive control viewpoint. In particular, it is shown how some fundamental results from nonlinear adaptive control can be successfully applied in t...
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ISBN:
(纸本)0780366859
We consider the iterative learning control problem from a 2D systems/adaptive control viewpoint. In particular, it is shown how some fundamental results from nonlinear adaptive control can be successfully applied in the iterative learning control domain under very weak assumptions. Some areas for further research are also briefly discussed.
Differential linear repetitive processes are a distinct sub-class of 2D continuous-discrete linear systems which pose problems that cannot (except in a few very restrictive special cases) be solved by the direct appli...
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ISBN:
(纸本)0780370619
Differential linear repetitive processes are a distinct sub-class of 2D continuous-discrete linear systems which pose problems that cannot (except in a few very restrictive special cases) be solved by the direct application of standard (1D) systems theory and hence by the direct use of a large number of currently-available tools for computer-aided analysis/design. One such area is the construction of discrete approximations to their dynamics. In this paper, we investigate some problems which arise during the discretization of differential linear repetitive processes and develop solutions to them.
An experimental speed control drive system for the shifted WIN pitched switched reluctance machine, using the C167 embedded controller, is presented. Methods of speed control and acceleration estimation are discussed....
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An experimental speed control drive system for the shifted WIN pitched switched reluctance machine, using the C167 embedded controller, is presented. Methods of speed control and acceleration estimation are discussed. System performance is tested for speed step change, speed reversal, speed tracking and load disturbance responses using proportional plus integral (PI) control and sliding mode (SLM) control. A comparison between proportional plus integral and sliding mode speed control, using Slotine's approach, is experimentally carried out and the robustness of sliding mode control is shown.
In this paper, we first identify the potential violations of control assumptions inherent in standard real-time scheduling approaches (because of the presence of jitters) that causes, degradation in control performanc...
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ISBN:
(纸本)0769514200
In this paper, we first identify the potential violations of control assumptions inherent in standard real-time scheduling approaches (because of the presence of jitters) that causes, degradation in control performance and may even lead to instability. We then develop practical approaches founded on control theory to deal with these violations. Our approach is based on the notion of compensations wherein controller parameters are adjusted at runtime for the presence of jitters. Through time and memory overhead analysis, and by elaborating on the implementation details, we characterize when offline and on-line compensations are feasible. Our experimental results confirm that our approach does compensate for the degraded control performance when EDF and FPS algorithms are used for scheduling the control tasks. Our compensation approach provides us another advantage that leads to better schedulability of control tasks. This derives from the potential to derive more flexible timing constraints, beyond periods and deadlines necessary to apply EDF and FPS. Overall, our approach provides guarantees offline that the control system will be stable at runtime-if temporal requirements are met at runtime-even when actual execution patterns are not known beforehand. With our approach, we can address the problems due to (a) sampling jitters, (b) varying delays between sampling and actuation, or (c) both-not addressable using traditional EDF and FPS based scheduling, or by previous real-time and control integration approaches.
A new filter class for multichannel image processing is introduced and analyzed. The new technique of image enhancement is capable of reducing impulsive and Gaussian noise and it significantly outperforms the standard...
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ISBN:
(纸本)9539676940
A new filter class for multichannel image processing is introduced and analyzed. The new technique of image enhancement is capable of reducing impulsive and Gaussian noise and it significantly outperforms the standard methods of noise reduction. In the paper, a smoothing operator, based on a random walk model and on a fuzzy similarity measure between pixels connected by a digital geodesic path, is introduced. The efficiency of the proposed method was tested on standard color images using objective image quality measures. Obtained results show that the new method not only outperforms standard noise reduction algorithms, but has some interesting features useful for segmentation of noisy color images.
We propose a new algorithm of noise reduction in color images. The new technique of multichannel image enhancement is capable of reducing impulse and Gaussian noise and it outperforms the basic methods based on vector...
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We propose a new algorithm of noise reduction in color images. The new technique of multichannel image enhancement is capable of reducing impulse and Gaussian noise and it outperforms the basic methods based on vector median used for noise reduction in color images. A new smoothing operator, based on a random walk model and on a fuzzy similarity measure between pixels connected by a digital geodesic path is introduced. The efficiency of the proposed method was tested on the standard color images using the widely used objective image quality.
Analysis of complex systems such as hierarchically structured network systems that are employed in modelling and analysis various aspects and issues of control and management in telecommunications is investigated. The...
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In this paper, a new method that controls the uplink transmit power in Bluetooth transceiver is suggested. Two closed loop power control (CLPC) algorithms are proposed. One is the fixed step power control (FSPC). The ...
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In this paper, a new method that controls the uplink transmit power in Bluetooth transceiver is suggested. Two closed loop power control (CLPC) algorithms are proposed. One is the fixed step power control (FSPC). The other is the dynamic step power control (DSPC). The proposed power control algorithms are simulated under indoor radio propagation model. Simulation results show that power consumption of Bluetooth devices is reduced using the proposed power control algorithms.
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