This paper considers the consensus problem synthesized with transient performance for a class of linear systems subject to input saturation. Two different settings, the undirected communication topology and a directed...
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ISBN:
(纸本)9781509002443
This paper considers the consensus problem synthesized with transient performance for a class of linear systems subject to input saturation. Two different settings, the undirected communication topology and a directed communication topologies, are systematically considered. To improve the transient performance of the resulting consensus, a saturated nonlinear consensus algorithm is proposed to solve this problem. Consensus tracking control for a class of linear systems is proved to be achieved under the general undirected and a directed graphs provided that their generated graphs contain a directed spanning tree. Numerical examples are utilized to illustrate the effectiveness of the theoretical results.
An optimal stochastic problem of production scheduling for uncertain re-entrant assembly workshops(URAWs) was studied, in which the assembly process is repeated on the basis of quality inspection result and the number...
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ISBN:
(纸本)9781510813465
An optimal stochastic problem of production scheduling for uncertain re-entrant assembly workshops(URAWs) was studied, in which the assembly process is repeated on the basis of quality inspection result and the number of repeats is uncertain. According to analysis of URAWs, a stochastic expected value model of production scheduling was built up. In order to solve the model conveniently, the model was then converted into a deterministic model. A genetic simulated annealing algorithm based on feasible region(FR-GSAA) was designed to solve this model. Finally the result of simulation examples indicates that the model and the algorithm are feasible and practical.
In this paper, the exponential stability analysis for ODE switched systems with time delay is extended to distributed parameter switched systems(DPSS) in Hilbert space. For a given family of exponential stable subsyst...
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In this paper, the exponential stability analysis for ODE switched systems with time delay is extended to distributed parameter switched systems(DPSS) in Hilbert space. For a given family of exponential stable subsystems, this paper focuses on finding conditions to guarantee the overall DPSS' exponential stability. Based on semigroup theory, by applying piecewise Lyapunov-Krasovskii functionals method incorporated average dwell time approach, sufficient conditions for exponential stability are derived. These conditions are given in the form of linear operator inequalities(LOIs)where the decision variables are operators in Hilbert space, and the stability properties depend on switching rule. Being applied to heat switched propagation equations, these LOIs are reduced to standard Linear Matrix Inequalities(LMIs). Finally, a numerical example is given to illustrate the effectiveness of the proposed result.
In this paper, the finite-time stabilization problem for second-order systems subject to mismatched disturbances is studied. By integrating the homogeneous control technique and the finite-time disturbance observer to...
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ISBN:
(纸本)9781467374439
In this paper, the finite-time stabilization problem for second-order systems subject to mismatched disturbances is studied. By integrating the homogeneous control technique and the finite-time disturbance observer together, a kind of feedforwardfeedback composite controllers are proposed. These controllers globally finite-time stabilize the disturbed systems. Moveover,the composite control method is also used to solve the finite-time consensus problem of leaderless second-order systems with mismatched disturbances. Simulations demonstrate the effectiveness of the proposed control algorithms.
This paper investigates the robust second-order tracking problem of multi-agent systems without velocity measurements and with input saturation on detailed balanced directed communication topologies, where agents'...
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ISBN:
(纸本)9781467374439
This paper investigates the robust second-order tracking problem of multi-agent systems without velocity measurements and with input saturation on detailed balanced directed communication topologies, where agents' dynamics are subject to uncertain and external disturbances. We first construct one distributed bounded controller for multi-agent systems without uncertain and external disturbances. Then, combined with the controller, one modifying uncertainty and disturbance estimator(UDE)is proposed to approximate the situation where neither the velocity measurements nor their asymptotic estimation is *** is shown that the synchronization errors are bounded and their ultimate bounds could be arbitrarily small by choosing some parameters appropriately. Simulation results are presented to show the effectiveness of the controllers.
In order to damp the load oscillation, a DE optimal PID controller is designed for overhead crane control *** by bee colony foraging mechanism, a neighborhood search operation is adopted for differential evolution(DE)...
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ISBN:
(纸本)9781467374439
In order to damp the load oscillation, a DE optimal PID controller is designed for overhead crane control *** by bee colony foraging mechanism, a neighborhood search operation is adopted for differential evolution(DE) algorithm to improve the search efficiency. This improved DE algorithm is employed to adjust PID controller parameters off-line. Through simulation and comparison under different operation conditions, the DE based PID controller exhibits the better performance in overhead crane anti-swing and position control.
This article considers the problem of directing a family of fully actuated surface vessels to cooperatively follow a set of convex and closed orbits with a time-invariant reference orbital velocity and maintain attitu...
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This article considers the problem of directing a family of fully actuated surface vessels to cooperatively follow a set of convex and closed orbits with a time-invariant reference orbital velocity and maintain attitude synchronization. A consensusbased adaptive control law under a bidirectional communication topology is proposed to estimate the reference orbital velocity so that the restriction that every vessel in the family must have access to the reference in the previous literature can be *** assumption of nonzero total linear speed of each vessel is removed by the use of potential function. Simulation results demonstrate the effectiveness of the proposed approach.
This paper presents an imaging method for 360-degree panoramic view based on four wide angle *** order to complete the image mosaic,all the parameters such as focal length,principal point and distortion coefficients,e...
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ISBN:
(纸本)9781479970186
This paper presents an imaging method for 360-degree panoramic view based on four wide angle *** order to complete the image mosaic,all the parameters such as focal length,principal point and distortion coefficients,etc are calibrated by our proposed calibration ***,our approach does not adopt the scheme which stitching all the images to the surrounding view after distortion *** proposed method directly calculates the mapping relationship between the wide-angle lens images and cylindrical projection images to generate lookup tables which can greatly simplifies the computation and reduces the loss of information in each ***,panoramic image is composed by image registration and image *** results show that this method is valid.
Pedestrian detection is a hot research topic in pattern recognition and computer vision. We combine MBBP(Multiscale Block Local Binary Patterns)feature and Histogram Intersection Kernel SVM and apply them to pedestr...
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Pedestrian detection is a hot research topic in pattern recognition and computer vision. We combine MBBP(Multiscale Block Local Binary Patterns)feature and Histogram Intersection Kernel SVM and apply them to pedestrian detection. MBBP features, which make up for the lack of LBP(Local Binary Patterns) features in robustness, is a kind of effective texture description *** Intersection Kernel Support Vector Machine has the advantage of fast classification and high accuracy in object recognition. It can be used for further enhancing the system's real-time performance. The experiments show that the proposed approach has higher precision than the classical algorithm HOG+Linear SVM and the HOGBP Features Fusion tested on the established benchmarking datasets—INRIA.
K-means clustering has been extremely popular in scene image classification. However, due to the random selection of initial cluster centers, the algorithm cannot always provide the most optimal results. In this paper...
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K-means clustering has been extremely popular in scene image classification. However, due to the random selection of initial cluster centers, the algorithm cannot always provide the most optimal results. In this paper, we develop a density-based k-means clustering. First, we calculate the density and distance for each feature vector. Then choose those features with high density and large distance as initial cluster centers. The remaining steps are the same with k-means. In order to evaluate our proposed algorithm, we have conducted several experiments on twoscene image datasets: Fifteen Scene Categories dataset and UIUC Sports Event dataset. The results show that our proposed method has good repeatability. Compared with the traditional k-means clustering, it can achieve higher classification accuracy when applied in multiclass scene image classification.
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