nonlinear system 中文意思是什麼
nonlinear system
解釋
非線性系統-
At present, the better prediction and warning methods of geologic hazards in the world include the phenomenon monitoring method, statistical analysis method, nonlinear system theory prediction method, coupling analysis method of endogenic and exogenic geological processes
摘要目前國內外較為成功的地質災害預報預警方法可分為現象監測預報法、數理統計預報法、非線性系統論預報法和地球內外動力耦合法。 -
The fractal and chaos theory are effective tools to study nonlinear system, quantifying the indeterminate nonlinear system, using aboard in the nature study, last years, many scholars study the capital market by that method, conquer the emh and the capital market theory ' s localization, inaugurate the new phase of the capi tal market study
分形和混沌理論作為研究非線性系統的有效工具，可以把不確定的非線性系統數量化，在自然界的研究中已經得到了廣泛的應用，近年來，許多理論工作者用該方法用研究資本市場，克服了原來研究線性系統的emh和資本市場理論的局限性，開創了資本市場研究的新局面。 -
Two different kinds of approximate theories for analyzing colored noise are employed in the nonlinear system. then effects of the colored nature of the noise on the statistical properties of the laser system, the stochastic resonance of bistable system, and the steady - state probability current of quasi - periodic system are investigated
本文主要通過兩種不同的色噪聲近似理論，分析了非線性系統噪聲的有色性對激光系統的統計性質、準周期性系統的定態幾率流和雙穩系統中的隨機共振現象的影響。 -
This text studies three methods about analyzing steady stat cornering performance of tractor - semitrailer : the differentiating of linear system steady stat cornering performance, the computer simulating analyzing of nonlinear system steady stat cornering performance, and the method of energy phase plane
摘要為了分析半掛汽車的穩態轉向特性，研究了3種用於判別半掛汽車列車穩態轉向特性的方法：線性系統穩態轉向特性的判別、非線性系統穩態轉向特性的計算機模擬分析、能量相平面法。 -
( 6 ) extension control is studied in earnest. through a simulation example extension control is compared with some kinds of neural networks control. the simulation result on slow time - varying nonlinear system shows that extension control is superior to neural networks control
（ 6 ）認真研究了可拓控制，通過模擬算例對可拓控制與幾種神經網路控制進行了比較分析，得出了對慢時變非線性系統可拓控制比神經網路控制效果要好的結論。 -
Abstract : the theory of variable structure control of sing ular nonlinear control systems was considered based on the singular nonlinear systems itself by employing the method of geography, and gives the sufficient condition of existence of variable structure control and approximation theory of real sliding mode. it is shown that sliding condition only guarantee the slow - varying state of real sliding mode approach that of ideal sliding mode but not guarantee the fast - varying state of real sliding mode approach that of ideal sliding mode. the method applied for studying normal nonlinear system can not be used directely to singular nonlinear system
文摘:利用幾何方法，從廣義非線性系統本身出發，研究了廣義非線性控制系統的變結構控制理論，給出了系統存在變結構控制的充分條件及實際滑動模的近似定理.從所得結論可知，滑動條件僅能保證實際滑動模的慢變狀態趨近於理想滑動模的慢變狀態，而不能保證實際滑動模的快變狀態趨近於理想滑動模的快變狀態，研究正常非線性系統的方法已不能簡單地被利用到廣義非線性系統 -
The two - degree - of - freedom nonlinear system with cubic nonlinearities will be used to explore the bifurcations and chaotic dynamics in the rotor - ambs system with eight pole pairs. the results obtained by the dissertation show that there exist the chaotic motions in some parameter regions
本文研究了電磁軸承-轉子系統的非線性動力學，表明電磁軸承-轉子系統在某些參數區域內可以出現全局分叉和混沌運動。 -
Firstly, studied feed - forward neural network and put forward a new algorithm on bp network, called bp algorithm based on robust error function ( bparef ), and the algorithm is proved to be effective for approaching nonlinear system
首先研究了前饋神經網路，提出了基於魯棒誤差函數的bp神經網路的演算法，並且驗證了其對非線性系統逼近的有效性。 -
Abstract : aiming at the variety of modals of nonlinear systems, we proposed a general parameter estimation method based on genetic algorithms ( ga ), which can be used in most kinds of nonlinear system modal. this method was applied to simulating parameter estimation of several different examples of nonlinear systems. the results proved that the method is effective and useable
文摘:針對非線性系統模型的多樣性，提出適用於多種非線性模型的基於遺傳演算法的參數估計方法，並以多種非線性模型為例作了模擬研究.結果表明，遺傳演算法是非線性系統模型參數估計的有效工具 -
To overcome the shortcomings of differential geometry method in the respect of invertibility and dynamic state feedback, this paper discuss algebra control method. combining linear algebra with dynamic expansion, one method can decouple the nonlinearity through construct the root of nonlinear system by dynamic expanding
一種方法是採用線性代數理論與動態擴張演算法相結合來對非線性系統進行解耦分析，通過運用動態擴張演算法來構造非線性系統的根而達到對非線性系統解耦控制的目的。 -
The controllability and stability of wavelet networks are analyzed and proved. to reduce the modeling error in the piecewise linearization of nonlinear system, a multiple models wavelet networks identification method is proposed
針對非線性系統建模中使用分段線性化方法所帶來的未建模誤差問題，提出了多模型小波網路系統辨識方法。 -
Kalman filter is an optimal filter algorithm in the minimum - mean - square - error sense, meanwhile extended kalman filter is a sub - optimal filter algorithm, which derived from the linearization of nonlinear system using taylor expansion. while the non - linearity of the system is not extreme strong, ekf can achieve approximately optimal filter effect
Kf是最小均方意義下的最優濾波演算法， ekf則是利用一階泰勒展開將非線性系統線性化而得到的一種次優濾波演算法，在非線性不是特別嚴重的情況下， ekf有著近似最優的濾波效果。 -
By the network, a optional nonlinear input - output mapping relationship can be realized. concrete mapping relationship materialize at the distributed linking weight values between neurons that build up the ann. due to the strong self - adaptability and self - learning - ability as well as excellent and robustness and tolerance ability, it can not only replace many traditional algorithm which is very complicated and timeconsuming, but also, because the processing to information is more close to person ' s thought activity habit, it provides a new way for solving the prediction of nonlinear system and unknown model
通過這種網路能夠實現任意的非線性輸入輸出映射關系，具體的映射關系體現在構成網路的神經元之間的分佈連接權上，由於網路具有很強的自適應和學習能力以及魯棒性和容錯能力，它不僅可以替代許多復雜耗時的傳統演算法，並且由於它對信息的處理更加接近於人的思維活動習慣，為解決非線性系統模擬和未知模型的預測提供了新途徑。 -
With fuzzy control being rule - based control approach, not need mathematical model of objectives, it has a better control result than conventional approach in some complex nonlinear system
摘要由於模糊控制技術是一種基於規則的控制，不需要被控對象的精確數學模型，在一些復雜的非線性控制系統中模糊控制比經典控制方法有更好的控制效果。 -
Nonlinear model based predictive control ( nmpc ) not only is a valuable approach for solving practical control problems, but also is the frontier of nonlinear control theory. the perceptible successes of mpc strategies can be attributed to several factors including its inherent ability to handle input and output constraints, time delay and incorporation of an explicit model of the plant into the optimization problem. this dissertation discusses two kinds of nonlinearity ( or nonlinear system )
本文沿著理論研究與工程實際相結合的設計思路，較為系統和全面的研究了非線性模型預測控制理論，提出改進新演算法；探討了非線性模型預測控制理論在自主水下航行器控制系統設計中的應用，豐富和發展了模型預測控制理論，本論文的主要工作及意義有以下幾個方面： 1 ）從工程應用的角度研究有限域無終端約束廣義預測控制穩定性充分條件，為有約束廣義預測控制穩定性研究奠定了基礎。 -
The stability of electric power system has been being focused for a long time toprevent a power system from losing synchronism after sudden fault ， researchers have done much work and got many accomplishments this paper applied the direct feedback linearization ( dfl ) technique on the power system ， a strong nonlinear system simulation results by matlab proved this method efficiency main works and results are as follows ： this paper compared some existing methods in excitation control ， fast valve control and coordinated control respectively, analyzed the developments and actuality of nonlinear control research in brief, illustrated why ransient stability could be greatly improved by using the fast valve control in chapter 3 ， indicated the importance of coordinated control farther this paper introduced the inverse system theory, based on which ， discussed the dfl theory, pointed out which had consistency with the inverse theory, expanded the dfl theory combined the idiographic model equations ， made which adapt to the model of a single machine - infinite bus power system this paper referenced abundance articles and educed a set of equations ， which could describe the dynamical process of excitation and fast valve control for synchronous generators in the equations ， there were several very important parameters of power system - - rotor angle ( ) ， rotor speed ( ) ， generator q axis voltage ( eq ) ， transient voltage ( e ' q ) ， active power ( pe ) ， mechanical input power ( pm ) ， valve opening ( ) ， generator terminal voltage ( vt ) ， based on the model ， nonlinear coordinated controller and terminal voltage optimal controller have been designed by using the expanded dfl theory and lq optimal control theory the simulation results showed that the controller could keep power system transiently stable under the effects of a symmetrical 3 - phase short circuit fault ， which achieved better postfault regulation compared with another two routine methods ， one is the proportion excitation controller and proportion fast valve controller, the other is the proportion excitation controller and the optimal fast valve controller, which could exert good performance when met 1ittle disturbance either
在介紹逆系統理論的基礎上，詳細介紹了dfl理論，通過比較闡明了dfl理論其本質是逆系統方法的一類，並結合具體課題推導出的模型方程將dfl理論進行了擴展，使之適應于電力系統這個強非線性對象。通過參考大量的書籍文獻推導出一套實用的可將大型汽輪發電機勵磁與汽門綜合起來進行控制的模型方程，此模型方程涵蓋了電力系統中特別引人注目的幾個量- -轉子角、轉子轉速、發電機q軸電勢eq 、暫態電勢e ' q 、有功功率pe 、機械功率pm 、汽門開度、機端電壓vt ，在此基礎上建立了實用的電力系統簡化的數學模型，並將擴展的dfl理論應用於此模型系統，結合線性二次型最優控制理論設計出大型汽輪發電機的非線性綜合控制器及機端電壓最優控制器，通過模擬實驗與採用常規的按電壓偏差進行調節的比例式勵磁控制器+汽門比例控制及採用常規的按電壓偏差進行調節的比例式勵磁調節器和基於二次型性能指標設計的最優快控汽門（考慮發電機的飽和因素）進行了對比，證實了採用此種控制器可以有效地提高電力系統的暫態穩定性，並且在電力系統遭受小干擾時同樣具有良好的調節性能。 -
So, the modeling and control of the specific complex nonlinear dynamical systems have been studied systematically based on wavelet theory and nonlinear system control in this dissertation
本文基於智能控制中的模糊神經控制理論，對這一復雜過程的建模和控制問題進行了研究。 -
Design of nonlinear observer for nonlinear system based on rbf neural networks
神經網路的非線性觀察器設計 -
Adaptive observers for simple output nonlinear system
單輸出非線性系統的自適應觀測器 -
Lur ' e system is a class of typical nonlinear system that nonlinear terms are constrained in the finite hurwitz sector or infinite hurwitz sector
Lur 』 e系統是一類典型的非線性系統，其非線性項被約束在有限的或無限的霍爾維茨角域里。
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