This paper revisits the problem of estimating the domain of attraction for systems with saturation *** divide the input space into several regions. In one of these regions, none of the inputs saturate. In each of the ...
详细信息
ISBN:
(纸本)9781479947249
This paper revisits the problem of estimating the domain of attraction for systems with saturation *** divide the input space into several regions. In one of these regions, none of the inputs saturate. In each of the remaining regions, there is a unique input that saturates everywhere with the time-derivative of its saturated signal being zero. These special properties of the inputs in different regions of the input space are combined with an existing piecewise quadratic Lyapunov functions that contains the information of input saturation to arrive at a set of less conservative stability conditions, from which a larger level set of the piecewise quadratic Lyapunov function can be obtained as an estimate of the domain of *** results indicate that the proposed approach has the ability to obtain a significantly larger estimate of the domain of attraction than the existing methods.
Multiple scattering may render synthetic aperture radar (SAR) image interpretation difficult, particularly when it comes to imaging of man-made structures, which can be modeled as composite scatterers. To isolate diff...
详细信息
Multiple scattering may render synthetic aperture radar (SAR) image interpretation difficult, particularly when it comes to imaging of man-made structures, which can be modeled as composite scatterers. To isolate different scattering mechanism, we designed an airborne SAR experiment based on the high resolution, sub-metric to decimetric range, capabilities full-polarimetric SAR system, CARSS (Chinese Airborne Remote Sensing system), developing by IECAS. The imaging results are quite accord with the theoretical analysis. With polarimetric target decomposition, we can simply distinguish the different scattering mechanism. The idea to interpret the man-made targets as the combination of simple scattering mechanisms is supported by the experiment results.
In this article, we present a novel non-local video denoising scheme using low-rank representation and total variation regularization. The proposed scheme attempts to make full use of the intrinsic properties that the...
详细信息
ISBN:
(纸本)9781479934331
In this article, we present a novel non-local video denoising scheme using low-rank representation and total variation regularization. The proposed scheme attempts to make full use of the intrinsic properties that the grouping similar patches not only lie in a low-rank subspace but are also sparse in total variation (TV) domain. For a group of similar patches, we formulate video denoising problem into a concise model that combines nuclear norm, TV regularization and l_1 norm. The experiments demonstrate that the proposed scheme is capable of handling multi-type noise including dense Gaussian noise and random-valued sparse noise, while maintaining the texture information meantime. The results show that our scheme achieves noticeable performance improvement over the state-of-the-art video denoising methods.
According to the problem that conventional laminated paper counting algorithms have some unavoidable shortcomings such as high dependence on the quality of laminated paper and noise sensitivity, we propose a laminated...
详细信息
ISBN:
(纸本)9781479953004
According to the problem that conventional laminated paper counting algorithms have some unavoidable shortcomings such as high dependence on the quality of laminated paper and noise sensitivity, we propose a laminated paper counting algorithm based on compressive sensing (CS) and Hough transform (HT). In the proposed algorithm, the over-complete dictionary which is created by dispersing the Hough transform space of straight lines acts as the sparse matrix. Making use of high degree of sparse nature of the laminated paper image, we can obtain the accurate result through using CS theory. Experimental results on simulation images and laminated paper images have shown that our proposed algorithm can effectively restrain noise of the laminated paper image, and will get accurate experimental results with fewer CS measurements.
Communication bandwidth and network topology are two important factors that affect performance of distributed consensus in multi-agent *** available works about quantized average consensus assume that the adjacency ma...
详细信息
Communication bandwidth and network topology are two important factors that affect performance of distributed consensus in multi-agent *** available works about quantized average consensus assume that the adjacency matrices associated with the digraphs are doubly stochastic,which amounts to that the digital networks are ***,this assumption may be unrealistic in *** this paper,without assuming double stochasticity,the authors revisit an existing quantized average consensus protocol with the logarithmic quantization scheme,and investigate the quantized consensus problem in general directed digital networks that are strongly connected but not necessarily *** authors first derive an achievable upper bound of the quantization precision parameter to design suitable logarithmic quantizer,and this bound explicitly depends on network ***,by means of the matrix transformation and the Lyapunov techniques,the authors provide a testable condition under which the weighted average consensus can be achieved with the proposed quantized protocol.
This paper investigates the problem of joint design of a receding horizon control and the medium access scheduling for quantized controlsystems over limited bandwidth networks, in which only a limited number of actua...
详细信息
ISBN:
(纸本)9781467360890
This paper investigates the problem of joint design of a receding horizon control and the medium access scheduling for quantized controlsystems over limited bandwidth networks, in which only a limited number of actuators are allowed to communicate with the controller at each time instant. By introducing a communication scheduling matrix to describe the medium access status and considering the influence of quantizers, we can model the controlsystem as a switched model with structured norm-bounded uncertainties. The stabilizing channels with guaranteed stability are chosen first. Based on the stabilizing channels, a receding horizon control strategy with optimal dynamic resource allocation is proposed by minimizing the upper bound on a finite-horizon quadratic performance index. Simulation results show the effectiveness of the developed method finally.
This paper focus on dynamic visual seroving of a cable-driven soft robotic manipulator system. The soft robotic manipulator has no rigid structure. Based on Lagrange mechanics, kinetic energy, elastic potential energy...
This paper focus on dynamic visual seroving of a cable-driven soft robotic manipulator system. The soft robotic manipulator has no rigid structure. Based on Lagrange mechanics, kinetic energy, elastic potential energy and gravitational potential energy of each segment are analyzed, thus general dynamic equation of the soft robotic manipulator is obtained. On this basis, a depth-independent image Jacobian matrix is presented and an image-based visual servo controller is designed. Applied by adaptive algorithm, the controller could estimate unknown 3D feature positions online, and Lyapunov method is involved to prove the stability of the system. Experiments are conducted to demonstrate reasonableness and validity of dynamic model of the soft robotic manipulator and image-based adaptive visual servo controller.
This paper describes a novel development of a lower limber exoskeleton for physical assistance and rehabilitation. The developed exoskeleton is a motorized leg device having a total of 4 DOF with hip, knee, and ankle ...
详细信息
The results of traditional traffic status analysis are mostly single values,whose accuracy can’t be determined;fuzzy c-means clustering(FCM)algorithm based on fuzzy theory can calculate the clustering center of plent...
详细信息
The results of traditional traffic status analysis are mostly single values,whose accuracy can’t be determined;fuzzy c-means clustering(FCM)algorithm based on fuzzy theory can calculate the clustering center of plenty data quickly and easily;linguistic dynamic systems could describe the dynamic rules of complex systems in the language *** this paper,membership functions are decided by FCM;result of a specific time period taken as one example is obtained;it’s discussed that linguistic dynamic analysis of traffic status in different period within a day by the same method.
Dongba pictograph of China is presently accepted as the only pictograph in use,and Ancient Dongbaclassics are listed by the UNESCO as the "Memory of the World" in urgent need of rescue and inheritance throug...
详细信息
Dongba pictograph of China is presently accepted as the only pictograph in use,and Ancient Dongbaclassics are listed by the UNESCO as the "Memory of the World" in urgent need of rescue and inheritance through modern information *** paper argues the theory of Dongba pictograph character recognition based on the unique structural features of Dongba pictograph,and initially puts forward the implementation methods from image preprocessing stage to other processing stages like feature extraction,template matching,and neural network recognition,*** proves that these methods are feasible after the verification of experiments.
暂无评论