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This paper proposed a novel model to characterize digital predistortion (DPD) of radio-frequency (RF) power amplifiers (PA). The model is derived from bilinear polynomials and has the capability of modeling DPD with high nonlinearity and deep memory effect. Compared with traditional models, e.g., memory polynomial (MP), generalized memory polynomial (GMP), this model shows better performance with...
In this paper, a class of linearized Korteweg-de Vries equation is designed to be a dynamic boundary feedback controller to stabilize a pendulum, which is described as a second order ODE. The semigroup approach is adopted to show that the linear operator constructed in analyzing well-posedness and stability of the target system.For both the state and output feedback boundary controllers, exponential...
A non-local vectorial total variational model is proposed for multichannel Synthetic Aperture Radar (SAR) image denoising. By introducing non-local means to the vectorial total variational model, it is found that the new non-local vectorial total variational model is well performed on denoising while preserving the fine structures of the multichannel SAR images. The energy functional of non-local...
This paper addresses the feedback stabilization of an interconnected Heat-ODE system with the Dirichlet interconnection. The “interconnection” between the heat equation and the ODE are bi-directional, in which the Dirichlet boundary observation of the heat equation is fed into the ODE, and the velocity of ODE is flowed into the boundary of the heat equation. The semigroup approach is adopted in investigation...
Simulation study is conducted on the automatic testing method of one type of cannon servo driver. An automatic testing method only for servo driver monomer is put forward through analyzing its structure and theory deeply. Modeling and simulation for its test system are completed in Matlab/Simulink according to the test method. The results of simulation indicate the feasibility and effectiveness of...
A set of risk indices of weak lines and buses causing static voltage instability and an assessment technique to evaluate the risk indices are proposed. The assessment technique is based on the integration of a quadratic optimization model combined with a line-based voltage stability index into Monte Carlo simulation. The proposed risk indices can be used to differentiate the risk responsibilities...
Due to the nonlinear of the Black-Scholes option pricing model, r and σ were not easy to be solved by analytic method. Quantum-behaved Particle Swarm Optimization (QPSO) algorithm was proposed to estimate the parameters because of its global search ability and robustness. In the process of optimization, Black-Scholes option pricing formula was used as the research object to establish the algorithm...
Asynchronous multirate sampling is a natural description for networked control system (NCS), while current research status on NCS has only focused on time-delay, data-packet loss, single-packet transmission, multiple-packets transmission, or their combinations. In this article, we will discuss modeling problem of NCS and then obtain an NCS model, which will take not only network-induced time-delay,...
The neighborhood structure of a pixel in an image can be described more accurately by its two principal curvatures than its gradient or mean curvature-based estimation. Based on this idea, we propose a novel method - minimum principal curvature-driven diffusion, in which the two principal curvatures are used in a curvature-driven diffusion equation for image filtering. The main advantage of the proposed...
This paper mainly gives limited similarity dominance relation, establishes the rough set model based on limited similarity dominance relation in incomplete ordered decision system, discusses some properties of this new model, and generalizes rough set model based on similarity dominance relation.
Based on the similarity dominance degree, the incomplete ordered decision system with all values that are "do not care" unknown values is established. The variable precision rough set model based on similarity dominance degree in the incomplete ordered decision system is given, and some properties of rough approximation operators of the variable precision rough set model are discussed.
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