Closed-Form Solution of Time-Varying Model and Its Applications for Output Current Harmonics in Two-Stage PV Inverter

2015 ◽  
Vol 6 (1) ◽  
pp. 142-150 ◽  
Author(s):  
Yang Du ◽  
Dylan Dah-Chuan Lu ◽  
Grace M. L. Chu ◽  
Weidong Xiao
2013 ◽  
Vol 284-287 ◽  
pp. 1744-1748
Author(s):  
Yung Hsiang Chen ◽  
Tzuu Hseng S. Li ◽  
Yung Yue Chen

An adaptive nonlinear trajectory tracking design for mobile robot and its practical implementation are presented in this paper. The design objective is to specify one nonlinear controller with a parameter adaptive law that satisfies the adaptive H2 optimal performance. In general, it is hard to obtain the closed-form solution from this nonlinear trajectory-tracking problem. Fortunately, based on the property of the trajectory tracking system of the nonholonomic mobile robot, the adaptive H2 trajectory tracking problems can be reduced to solving one nonlinear time varying Riccati-like equations. Furthermore, one closed-form solution to this nonlinear time varying Riccati-like equation can be obtained with very simple forms for the preceding control design. Finally, there are two practical testing conditions: circular and S type reference trajectories are used for performance verification.


2020 ◽  
Vol 10 (3) ◽  
pp. 1055
Author(s):  
Yung-Hsiang Chen ◽  
Shi-Jer Lou

A closed-form H2 approach of a nonlinear trajectory tracking design and practical implementation of a swarm of wheeled mobile robots (WMRs) is presented in this paper. For the nonlinear trajectory tracking problem of a swarm of WMRs, the design purpose is to point out a closed-form H2 nonlinear control method that analytically fulfills the H2 control performance index. The key and primary contribution of this research is a closed-form solution with a simple control structure for the trajectory tracking design of a swarm of WMRs is an absolute achievement and practical implementation. Generally, it is challenging to solve and find out the closed-form solution for this nonlinear trajectory tracking problem of a swarm of WMRs. Fortunately, through a sequence of mathematical operations for the trajectory tracking error dynamics between the control of a swarm of WMRs and desired trajectories, this H2 trajectory tracking problem is equal to solve the nonlinear time-varying Riccati-like equation. Additionally, the closed-form solution of this nonlinear time-varying Riccati-like equation will be acquired with a straightforward form. Finally, for simulation-controlled performance of this H2 proposed method, two testing scenarios, circular and S type reference trajectories, were applied to performance verification.


2014 ◽  
Vol 900 ◽  
pp. 110-115
Author(s):  
Bing Kang Chen ◽  
Feng Guo

In this paper, the solution and some propagation characteristics of waves inside a rectangular waveguide in the time-varying media are presented. The separation of variables method is used to get a closed form solution i.e. accurate expression for TE mode when the permittivity of media changes with respect to time. It is clearly shown that both the amplitude and frequency of the waves in rectangular waveguide change with respect to time in time-varying permittivity.


Author(s):  
Yunxiang Zhang ◽  
Yuyang Zhao ◽  
Gang Wang ◽  
Rui Xue

AbstractMost of the cost functions of adaptive filtering algorithms include the square error, which depends on the current error signal. When the additive noise is impulsive, we can expect that the square error will be very large. By contrast, the cross error, which is the correlation of the error signal and its delay, may be very small. Based on this fact, we propose a new cost function called the mean square cross error for adaptive filters, and provide the mean value and mean square performance analysis in detail. Furthermore, we present a two-stage method to estimate the closed-form solutions for the proposed method, and generalize the two-stage method to estimate the closed-form solution of the information theoretic learning methods, including least mean fourth, maximum correntropy criterion, generalized maximum correntropy criterion, and minimum kernel risk-sensitive loss. The simulations of the adaptive solutions and closed-form solution show the effectivity of the new method.


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