The aim of this paper is to propose a new algorithm for multilevel stabilization of large scale *** two-level stabilization method,a set of local stabilizers for the individual subsystems in a completely decentralized...
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The aim of this paper is to propose a new algorithm for multilevel stabilization of large scale *** two-level stabilization method,a set of local stabilizers for the individual subsystems in a completely decentralized environment is *** solution of the control problem involves designing of a global controller on a higher hierarchical level that provides corrective signals to account for interconnections *** principle feature of this paper is to reduce conservativeness in global controller ***,the key point is to reduce the effect of interactions instead of neutralizing *** fact,unlike prior methods,our idea does not ignore the possible beneficial aspects of the interactions and does not try to neutralize them.
The paper developed a block-wise approach for ICA algorithms which can improve the computational efficiency of ICA without the degradation of performance for the separation of biomedical signals. Source signals includ...
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In recent years, the growing volume of data in numerous clustering tasks has greatly boosted the existing clustering algorithms in dealing with very large datasets. The K-means has been one of the most popular cluster...
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In recent years, the growing volume of data in numerous clustering tasks has greatly boosted the existing clustering algorithms in dealing with very large datasets. The K-means has been one of the most popular clustering algorithms because of its simplicity and easiness in application, but its effciency and effectiveness for large datasets are often unacceptable. In contrast to the K-means algorithm, most existing grid-clustering algorithms have linear time and space complexities and thus can perform well for large datasets. In this paper, we propose a grid-based partitional algorithm to overcome the drawbacks of the K-means clustering algorithm. This new algorithm is based on two major concepts: 1) maximizing the average density of a group of grids instead of minimizing the minimal square error which is applied in the K-means algorithm, and 2) using grid- clustering algorithms to thoroughly reformulate the object-driven assigning in the K-means algorithm into a new grid-driven assigning. Consequently, our proposed algorithm obtains an average speed-up about 10-100 times faster and produces better partitions than those by the K-means algorithm. Also, compared with the K-means algorithm, our proposed algorithm has ability to partition any dataset when the number of clusters is unknown. The effectiveness of our proposed algorithm has been demonstrated through successfully clustering datasets with different features in comparison with the other three typical clustering algorithms besides the K-means algorithm.
This paper concerns with the master-slave exponential synchronization analysis for a class of general Lur'esystems with time *** from the previous methods based on the differential inequality technique, a newappro...
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This paper concerns with the master-slave exponential synchronization analysis for a class of general Lur'esystems with time *** from the previous methods based on the differential inequality technique, a newapproach is proposed to derive some new exponential synchronization *** restriction that the control widthhas to be larger than the time delay is *** leads to a larger application scope for our ***, notranscendental equation is involved in the obtained result, which reduces the computational *** examples aregiven to validate the theoretical results.
How to make vision system work robustly under dynamic light conditions is still a challenging research focus in computer/robot vision community. In this paper, a novel camera parameters auto-adjusting technique based ...
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In this paper, a simple variable integral gain PI controller for a single-phase Inverter is presented. The controller is based on a conventional PI by adding a rule of Fuzzy Logic control (FLC), the complete mathemati...
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In this paper we consider the problem of state estimation over a communication network. Using estimation quality as a metric, two communication schemes are studied and compared. In scheme one, each sensor node communi...
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In this paper we consider the problem of state estimation over a communication network. Using estimation quality as a metric, two communication schemes are studied and compared. In scheme one, each sensor node communicates its measurement data to the remote estimator, while in scheme two, each sensor node communicates its local state estimate to the remote estimator. We show that with perfect communication link, if the sensor has unlimited computation capability, the two schemes produce the same estimate at the estimator, and if the sensor has limited computation capability, scheme one is always better than scheme two. On the other hand, when data packet drops occur over the communication link, we show that if the sensor has unlimited computation capability, scheme two always outperforms scheme one, and if the sensor has limited computation capability, we show that in general there exists a critical packet arrival rate, above which scheme one outperforms scheme two. Simulations are provided to demonstrate the two schemes under various circumstances.
A novel direct-drive rotary-linear switched reluctance motor (RLSRM) is proposed. The motor has the advantages of robust mechanical structure, low manufacture cost and capability of operation under hostile environment...
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Abstract In this paper, the relative position parameters of the target spacecraft are obtained by using the vision measurement and the target maneuver positions are calculated through the isochronous interpolation met...
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Abstract In this paper, the relative position parameters of the target spacecraft are obtained by using the vision measurement and the target maneuver positions are calculated through the isochronous interpolation method. Furthermore, new switch control laws under constant thrust are designed for active collision avoidance maneuver of the chaser along a specified trajectory. The switch control laws are obtained based on the acceleration sequences and the working times of thrusters in three axes which can be respectively computed by the time series analysis method. The perturbations and fuel consumptions are addressed during the computation of the working times. The simulation results show that the constant thrust maneuver can effectively guarantee the chaser maneuvering along the specified trajectory.
The on-line least-square identification method is applied for the linear switched reluctance motor (LSRM) based closed-loop control system. Since switched reluctance motors have severe nonlinear characteristics, on-li...
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