確定性系統 的英文怎麼說
中文拼音 [quèdìngxìngxìtǒng]
確定性系統
英文
deterministic system- 確 : 形容詞1. (符合事實; 真實) true; reliable; authentic 2. (堅固; 堅定) firm
- 定 : Ⅰ形容詞1 (平靜; 穩定) calm; stable 2 (已經確定的; 不改變的) fixed; settled; established Ⅱ動詞...
- 性 : Ⅰ名詞1 (性格) nature; character; disposition 2 (性能; 性質) property; quality 3 (性別) sex ...
- 系 : 系動詞(打結; 扣) tie; fasten; do up; button up
- 統 : Ⅰ名詞1 (事物間連續的關系) interconnected system 2 (衣服等的筒狀部分) any tube shaped part of ...
- 系統 : 1. (按一定關系組成的同類事物) system 2. (有條理的;有系統的) systematic
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This book deals with deterministic systems and does not include any analysis of stochastic phenomena.
本書不分析隨機現象,主要討論確定性系統。This book deals with deterministic systems.
本書主要討論確定性系統。Chaos is a kind of seeming random, chance or irregular movement, which appears in a definiteness system
混沌是在確定性系統中發生的貌似隨機的無規則或不規則運動。Application of innovation grey theory to fault predication of uncertainty systems
新息灰理論在不確定性系統故障預測中的應用In the respect of neural networks control for non - linear and uncertain system, a review of some available control strategy is made. combining neural networks control and conventional control strategy supervised learning, no supervised learning and reinforcement learning neural networks self - studying and adaptive control systems for ship course control are proposed. the thesis studies particularly their characteristics
在非線性和不確定性系統的神經網路控制方面,論文總結了一些現有的神經網路自學習控制系統,然後將神經網路和常規控制(例如pid控制、自適應控制、內模控制等)結合起來,根據船舶操縱的特點,詳細研究和分析了有監督學習、無監督學習和再勵學習的船舶航向神經網路自學習型自適應控制系統。The method of multiple scales is used to determine the equations of modulation of amplitude and phase. the steady state response can be obtained by solving a couple of algebraic equations, which have been achieved by careful deduction under some conditions. and because of the complexity of the equations, programs are necessary to solve the equations mentioned above, and certain graphs are presented. based on chapter two, in chapter three, the method of multiple scales is introduced to the study of the multiple - dimensional nonlinear stochastic systems under random external excitation
在第二章基礎上,第三章將多尺度法引入到相應的隨機系統的研究中;嚴格推導了系統的約簡方程,用矩方法求出穩態解應滿足的方程,獲得一些結果;並且數值模擬結果與理論推導的結果是一致的;並注意到,與其對應的確定性系統相比較,系統響應從周期解變為近似周期解,系統的相軌線從極限環變為擴大的近似極限環;隨著激勵帶寬的增大,此擴大的近似極限環的寬度將增大。A robust self - adaptive controller on non - linear definite systems
非線性確定性系統的魯棒自適應控制器The numerical results from the phase portraits, the period - doubling bifurcation and the poincare sections show that external stochastic excitation always masks the regular motions of a deterministic system and plays a dissipative role to the motions of the system, which causes the chaotic motions of the system to arise easily, though the period - doubling bifurcation is delayed
系統的相圖、倍周期分岔圖以及龐加萊映射圖等方面的數值結果表明,外加隨機激勵的作用往往掩蓋原確定性系統內在的規則運動,對原確定性系統的運動具有較典型的分散作用,可延緩系統的倍周期分岔,也可使得系統內在隨機行為提前發生,即可使得系統更容易出現混沌運動。( 2 ) for linear systems with time - varying delays both in state and control, and subject to norm - bounded parameter uncertainties, the problems of robust stabilization and robust h control are studied and delay independent results are derived by constructing proper lyapunov function to deal with the time - delay, also by using riccati equations method and inequalities transformations to deal with the uncertainties. according to the transform function of the system, frequency domain method and time domain method are combined together to analyze the robust h control problem of the uncertain time - delay system
( 2 )研究了一類狀態和控制同時具有時變時滯以及參數時變有界不確定性系統的時滯無關的魯棒鎮定及h控制問題,採用把時滯因素和不確定因素分開處理的思路,通過構造適當形式的lyapunov函數來處理時滯,採用不等式變換及riccati方程方法來處理不確定性,採用頻域與時域相結合的方法根據系統的傳遞函數分析時滯不確定系統的魯棒h控制問題。Time domain 1 ) the problem of the estimability of stochastic systems is discussed by analyzing information varying between states and state estimate errors. an information theoretic definition of estimability for general stochastic systems is given in the sense of minmax entropy estimation. it is concluded that a linear gaussian stochastic system is estimable if and only if the corresponding linear definite system is observable
時域: 1 )通過分析系統狀態估計中先驗和后驗信息變化討論了隨機系統的可估計性問題,給出在最小最大熵估計意義下一般系統的可估計性定義,並揭示出線性高斯系統的可估計性與相應確定性系統的可觀測性之間存在互為充分必要條件的關系。However, the fact that stochastic motion exists in a fixed system goes against the traditional physical theory of deterministic
而確定性系統中竟然存在著隨機運動(類隨機) ,這是與物理學傳統的確定性(決定性)觀念相悖的。Noether ' s theory of mechanical systems with unilateral constraints
廣義不確定性系統概念及其基本原理However there are some signals different from the two poles, named chaotic signals, which are generated by a determinate system but acting similar to stochastic signal and can not be forecasted in long term
而混沌信號有別于這兩大類信號,它由確定性系統產生,但行為卻貌似隨機信號,具有長期不可預測性。Robust control of uncertain delay systems
滯后不確定性系統的魯棒控制As neural network has the ability of self - learning, that utilizes prior output data of uncertain system to estimate iteratively the static state property of system in order to achieve ideal approaching precision for identification of the positive model, a robust iterative learning control scheme on the basis of better positive model is designed. the neural network is used to identify the positive model of nonlinear system on iterative axis, which can give feed - forward action of iterative learning controller to reduce the effects of nonlinear properties and model uncertainties. meanwhile, feedback action of iterative learning controller make joint movement follow the desired trajectory on time axis by using controlled parameters derived by the neural network
由於神經網路具有自學習能力,它可利用不確定性系統的歷史輸出數據對系統的穩態特性進行估計,使得對系統正向模型的辨識達到理想的逼近精度,然後在此正向模型的基礎上進行學習控制律的設計:即採用神經網路辨識非線性系統的正向模型,並消除系統不確定性和外部干擾的影響,使關節運動沿迭代軸方向逼近期望軌跡;迭代學習控制器在線學習控制參量,使關節運動沿時間軸方向跟蹤期望軌跡。Observer - based output - feedback stabilization control design for a class of nonlinear uncertain systems
一類非線性不確定性系統基於狀態觀測器的輸出反饋鎮定控制設計The output - feedback stabilization control problem is investigated for a class of nonlinear uncertain systems
摘要研究了一類非線性不確定性系統的輸出反饋鎮定控制問題。In the first part of the thesis, we generalize the unified approach to the evolutionary random response problems of a deterministic system ( the unified approach in brief ), to a random linear system in the following ways
論文前一部分將確定性系統中的統一解法,全面推廣到隨機線性系統中去,具體地作了三個方面的工作。Chapter two introduces mathematical definition, the basic characteristics, and analytical and numerical methods of chaos in both deterministic and stochastic systems
第二章,介紹了確定性系統混沌的定義和基本特徵及其研究的解析方法和數值方法,並在此基礎上引入了隨機系統中混沌的定義、基本特徵及研究方法。Synthesis of decentralized static output feedback for mixed uncertainty system
具有混合不確定性系統的分散靜態輸出反饋綜合分享友人