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The adaptive full-order observers have been widely and successfully applied in sensorless induction motor drives. In the design of the observer, selecting proper feedback gains is the key, and many kinds of feedback gains have been proposed in the past years, but there are very few comparative studies. This paper presents a comparative study of three classical sets of feedback gains: Proportional...
We consider the super convergence of hyperbolic problem. Solving by biquadratic elements, we obtain a fourth order(rather than third order) gradient super convergence results for hyperbolic equations.
The convergence theory not only is a significantly basic theory of fuzzy topology and fuzzy analysis but also has wide applications in fuzzy inference and some other aspects. In this paper, we introduce the concept of GF-remote-neighborhood of fuzzy points and establish the Moore-Smith GF-convergence theory of L-fuzzy nets. Then, we introduce and study the concept of L-fuzzy GF-irresolute mappings.
The convergence theory not only is a significantly basic theory of fuzzy topology and fuzzy analysis but also has wide applications in fuzzy inference and some other aspects. In this paper, the β-convergence theory of L-fuzzy ideals is explored by the concept of β-remote-neighborhood, and the relationships of L-fuzzy ideals and L-fuzzy nets are discussed. In addition, some properties of the notions...
In this paper, we introduce notions of fuzzy delta-I-open Sets and fuzzy delta-I-continuous functions in fuzzy ideal topological spaces and investigate some of their properties. Additionally, we obtain a decomposition of fuzzy semi-I-continuous functions and alpha-I-Continuous functions by using fuzzy delta-I-continuous functions.
The convergence theory is a basic theory of fuzzy topology and fuzzy analysis. In this paper we introduce the notions of fuzzy Q-upper limit, fuzzy Q-lower limit and the fuzzy Q-convergent nets of fuzzy sets. We also study the properties of fuzzy Q-upper limit, fuzzy Q-lower limit and the fuzzy Q-convergent nets of fuzzy sets.
The convergence theory is a basic theory of fuzzy topology and fuzzy analysis. In this paper we introduce the notions of fuzzy SP-upper limit, fuzzy SP-lower limit and the fuzzy SP-convergent nets of fuzzy sets. We also study the properties of fuzzy SP-upper limit, fuzzy SP-lower limit and the fuzzy SP-convergent nets of fuzzy sets.
The convergence theory not only is a significantly basic theory of fuzzy topology and fuzzy analysis but also has wide applications in fuzzy inference and some other aspects. In this paper, the α-generalized convergence theory of L-fuzzy ideals is explored by the concept of α-generalized-remote-neighborhood, and the relationships of L-fuzzy ideals and L-fuzzy nets are discussed. In addition, some...
The convergence theory not only is a significantly basic theory of fuzzy topology and fuzzy analysis but also has wide applications in fuzzy inference and some other aspects. In this paper, the present author introduces the concept of ??-remoted neighborhood of fuzzy points, establishes the Moore-Smith ??-convergence theory of L-fuzzy net and discusses the applications of ??-convergence of L-fuzzy...
The convergence theory not only is a significantly basic theory of fuzzy topology and fuzzy analysis but also has wide applications in fuzzy inference and some other aspects. In this paper we introduce the notions of fuzzy beta-upper limit, fuzzy beta-lower limit and the fuzzy beta-convergent nets of fuzzy sets. We also study the properties of fuzzy beta-upper limit, fuzzy beta-lower limit and the...
The convergence theory not only is a significantly basic theory of fuzzy topology and fuzzy analysis but also has wide applications in fuzzy inference and some other aspects. In this paper, the present author introduces the concept of RGF-remote-neighborhood of fuzzy points, establishes the Moore-Smith RGF-convergence theory of L-fuzzy net and discusses the applications of RGF-convergence of L-fuzzy...
An adaptive control scheme is proposed for a kind of time-varying nonlinear systems. In the scheme the nonlinear systems are divided into a finite number of subsystems, which are in strict feedback and interpolated by functions of an exogenous scheduling variable. The adaptive method yields stability of all signals in the closed-loop. The results of simulation show that the controller converges very...
We adopt the second-price auction mechanisms to solve the channel allocation as well as the out-band sensing assignment problems in cognitive radio. We introduce a cheating-proof operating method by realizing the pricing scheme in a real time format. To adapt to the dynamic environment, we also study the optimization problem in terms of strategic budget setting, bidding slot duration setting and supplementary...
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