An object often has many distinct manifestations in computer vision, which brings a great challenge to utilizing more comprehensive information. Inspired by some biological researches about edge sensitivity and global...
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ISBN:
(纸本)9781467384155
An object often has many distinct manifestations in computer vision, which brings a great challenge to utilizing more comprehensive information. Inspired by some biological researches about edge sensitivity and global structure priority, our key insight is to establish unified transfer classification network with shared contour information. Combining two convolutional networks with three cascaded filters, we build a unified kernel SVM classifier based on shared contour features. Two convolutional networks are used for acquiring the contour information of objects exactly. Obtained by three cascaded filters, shared edge features are used by a unified kernels SVM classifier. Our transfer classification network (TCN) is trained and tested with distinct manifestations including real photos (imagenet dataset or cifar-10 dataset) and cartoon abstracts. The model is able to extract robust contour features and achieve considerable transfer recognition accuracy (40% relative improvement to some popular convolutional models).
The global robust output regulation problem for nonlinear plants subject to nonlinear exosystems has been a challenging problem and has not been well addressed. The main difficulty lies in finding a suitable internal ...
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In this paper, we study the global robust output regulation problem for a class of multivariable nonlinear systems. The problem is first converted into a stabilization problem of an augmented system composed of the or...
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Abstract The global robust output regulation problem for nonlinear plants subject to nonlinear exosystems has been a challenging problem and has not been well addressed. The main difficulty lies in finding a suitable ...
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Abstract The global robust output regulation problem for nonlinear plants subject to nonlinear exosystems has been a challenging problem and has not been well addressed. The main difficulty lies in finding a suitable internal model. In this paper, we first propose a new class of internal models which is guaranteed to exist under the generalized immersion condition [2]. An advantage of this internal model is that it is zero input globally asymptotically stable. This fact will facilitate the global stabilization of the augmented system associated with the given plant and the internal model. Then we will further utilize this class of internal models to solve the global robust output regulation problem for output feedback systems with a nonlinear exosystem.
In this paper, we study the global robust output regulation problem for a class of multivariable nonlinear systems. The problem is first converted into a stabilization problem of an augmented system composed of the or...
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In this paper, we study the global robust output regulation problem for a class of multivariable nonlinear systems. The problem is first converted into a stabilization problem of an augmented system composed of the original plant and an internal model. The augmented system is a two-input system containing both dynamic uncertainty and time-varying static uncertainty. By decomposing the two-input control problem into two single-input control problems, we can solve the problem via a recursive approach utilizing the changing supply function technique. Finally, the theoretical result is applied to the speed tracking control and load torque disturbance rejection problem of a surface-mounted PM synchronous motor.
This paper develops an approach to dealing with the global robust output regulation problem for a class of nonlinear systems with integral input-to-state stable (iISS) inverse dynamics by using output feedback control...
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This paper considers the robust output regulation problem for nonlinear time-varying systems with a time-varying exosystem. A framework for converting the problem into a stabilization problem of an augmented system is...
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ISBN:
(纸本)9787894631046
This paper considers the robust output regulation problem for nonlinear time-varying systems with a time-varying exosystem. A framework for converting the problem into a stabilization problem of an augmented system is established. The problem is solved for a class of time-varying output feedback systems with a time-varying exosystem.
Stochastic simulation of a nano-electromechanical energy transducer is presented in this paper. This system acts like an engine with four transformations in each engine cycle that converts potential energy due to quan...
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Stochastic simulation of a nano-electromechanical energy transducer is presented in this paper. This system acts like an engine with four transformations in each engine cycle that converts potential energy due to quantum vacuum fluctuation of the electromagnetic field, or Casimir effect, to electrical energy. The system is composed of an oscillating semiconductor boundary parallel to a fixed plate separated by vacuum. The effect of the Casimir pressure in this engine is controlled by changing the optical properties of the boundaries when they are exposed to radiation that alters the plasma frequency of the dielectric medium of the moving and stationary boundaries. The stochastic simulation presented in this paper demonstrates the efficiency of the device in achieving positive net energy and deals with uncertainties in modelling such as friction and noise in the system, thereby providing a realistic model. A Langevin equation, which describes the Brownian motion, is considered for stochastic simulation of the system. The work done by the Casimir force is carried out in an open path of energy conversion, and the external radiation input to this system is not a means of input energy;rather, it is a tool to vary the system parameters.
This paper develops an approach to dealing with the global robust output regulation problem for a class of nonlinear systems with integral input-to-state stable (iISS) inverse dynamics by using output feedback control...
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This paper develops an approach to dealing with the global robust output regulation problem for a class of nonlinear systems with integral input-to-state stable (iISS) inverse dynamics by using output feedback control. As iISS condition is strictly weaker than ISS condition, the result of this paper applies to a larger class of nonlinear systems.
Recently, the global robust output regulation problem for nonlinear time-varying systems is considered in [14] under the assumption that the exosystem is exactly known. This paper further considers the case where the ...
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ISBN:
(纸本)9781424477456
Recently, the global robust output regulation problem for nonlinear time-varying systems is considered in [14] under the assumption that the exosystem is exactly known. This paper further considers the case where the time-varying exosystem is unknown. Conditions are given under which the problem can be converted into an adaptive stabilization problem of an augmented time-varying nonlinear system. The problem is solved for a class of time-varying output feedback systems with a time-varying uncertain exosystem.
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