《Fuzzy Relational Calculus Toolbox, Rel.1.01》The toolbox provides functions and original algorithms for solving direct and inverse problems. Author: Yordan Kyosev & Ketty Peeva
標(biāo)簽： Relational algorithms functions Calculus
上傳時間： 2015-04-18
上傳用戶：royzhangsz
matlab 多參數(shù)積分工具箱 multivariable Calculus toolbox
標(biāo)簽： multivariable Calculus toolbox matlab
上傳時間： 2016-06-02
上傳用戶：kiklkook
number Calculus, gauss method, jordan description
標(biāo)簽： description Calculus number method
上傳時間： 2017-04-10
上傳用戶：rocwangdp
a collection of M-files to study concepts in the following areas of Fuzzy-Set-Theory: Fuzzy or Multivalued Logic, The Calculus of Fuzzy, Quantities, Approximate Reasoning, Possibility Theory, Fuzzy Control, Neuro-Fuzzy Systems.
標(biāo)簽： Fuzzy-Set-Theory collection following concepts
上傳時間： 2015-04-03
上傳用戶：lili123
Algebra, Topology, Differential Calculus, and Optimization Theory For Computer Science and Machine Learning一本數(shù)學(xué)大全書，由Jean Gallier and Jocelyn Quaintance合著。
標(biāo)簽： 機器學(xué)習(xí) 數(shù)學(xué)
上傳時間： 2022-05-05
上傳用戶：默默
Abstract: A sliding mode observer and fractional-order phase-locked loop (FO-PLL) method is proposed for the sensorless speed control of a permanent magnet synchronous motor (PMSM).The saturation function is adopted in order to reduce the chattering phenomenon caused by the sliding mode observer. In this proposed FO-PLL, method, a regulable fractional order r is involved, which means that the FO-PLL provides an extra degree of freedom. In fact, the conventional phase-locked loop (PLL) applied in sensorless PMSM control can be seen as a special case of the proposed FO-PLL. By selecting a proper fractional order r a better performance may be achieved. The computer simulation results demonstrate the effectiveness of the proposed method.Key words: fractional Calculus; fractional order phase-locked loop; sensorless control; sliding mode observer; permanent magnet synchronous motor; speed controll
上傳時間： 2022-06-18
上傳用戶：
分數(shù)階微積分（Fractional Calculus）作為微積分的一條分支在三百多年的發(fā)展歷程中已經(jīng)逐步形成自己特有的體系，在很多的領(lǐng)域中已經(jīng)顯示出獨特的處理能力，尤其是在電磁學(xué)、化學(xué)、控制學(xué)和力學(xué)等一些學(xué)科得到了廣泛的應(yīng)用。在信息信號處理理論中，微積分作為一種基本的數(shù)學(xué)運算得到了廣泛的應(yīng)用，但其中的微積分運算都是基于整數(shù)階的，如一階微積分和二階微積分等。然而隨著科學(xué)技術(shù)與計算能力的發(fā)展，越來越多的非線性問題成為了研究的工作重點，分數(shù)階微積分在此領(lǐng)域強大的處理能力就逐步的體現(xiàn)出來。分數(shù)階微積分是相對于傳統(tǒng)的整數(shù)階微積分提出的，傳統(tǒng)的整數(shù)階微積分的運算階次都是基于整數(shù)的情況定義的，而分數(shù)階微積分是將傳統(tǒng)意義上的整數(shù)階微積分的階次從整數(shù)推廣至分數(shù)，乃至整個無理小數(shù)和分數(shù)。接下來我們先回顧下傳統(tǒng)的微積分。
上傳時間： 2022-06-25
上傳用戶：
蟲蟲下載站版權(quán)所有 京ICP備2021023401號-1
