time-invariant model 中文意思是什麼
time-invariant model
解釋
時不變模型-
When the network - induced delay is less than and more than one sampling period, the augmented state vector method is used respectively to model the system as a finite - dimensional discrete - time lti ( linear time - invariant ) system
在網路誘導時延小於和大於一個采樣周期的情況下，分別利用增廣狀態向量法，將系統建模為有限維離散時間線性時不變系統。 -
Firstly, a new joint filterbank precoders and decision feedback equalizers structure is proposed, and the corresponding optimization result based on the maximal mutual information criterion is derived. secondly, the concept of dt canonical model is proposed, which is very suitable for the task of blind signal processing based on the second - order statistical of the observations. thirdly, the methods of blind equalization and identification of the tv dispersive channels are researched systematically based on the proposed dt canonical model, and a subspace blind identification algorithm of the time - invariant channel matrix is developed
本文創新性的成果在於：提出了預編碼-判決反饋聯合均衡系統結構，並從理論推導得出了對應的最大互信息量最優化設計結果；首次提出了時變色散通道的離散正則模型概念，該模型適宜於利用觀察數據的二階統計量進行盲信號處理；基於離散正則模型對時變色散通道進行了系統的盲均衡和盲辨識方法研究，提出了對時不變通道矩陣的子空間盲辨識演算法；針對誤差傳播效應問題，提出了可以消除誤差傳播效應的兩級盲辨識演算法；提出了基於離散正則模型的直接盲均衡演算法；提出了基於特徵恢復思想的神經網路直接自適應盲均衡演算法。 -
We propose the joint filterbank precoders and decision feedback equalizers structure at first, by which the dispersive channel is equivallent into parallel independent flat fading subchannels such that the diversity gain of the receiver is increased. then we adopt the discrete - time ( dt ) canonical model to convert the problem of blind signal processing of tv dispersive channels into processing the time - invariant multi - channels model blindly, and discuss the problem of blind equalization and identification of tv dispersive channels based on this new model
第一種是採用濾波器組聯合均衡方法將色散通道等價為一組獨立的平坦衰落子通道，以提高接收機的分集增益；另外一種是提出採用離散正則模型將時變色散通道的盲信號處理轉化為時不變多通道模型的盲信號處理，並針對該模型對時變色散通道的盲均衡與盲辨識方法進行了詳細討論。 -
2. the time variant nonlinear model of the laser gyro inertial surveying and attitude reference system is changed and simplified to time invariant linear model of the error states using robust analysis method. these results make frequency analysis based on transfer function become possible which is important for dynamic system analysis
2 、採用魯棒分析方法，將激光陀螺慣性測量與姿態參考系統的時變非線性模型轉化為誤差狀態的近似線性定常模型，從而使基於傳遞函數的頻域分析成為可能，這對動態系統分析是至關重要的。 -
However, in fact, thephysical parameters and dynamical character of the structure duringthe occurrence ofdamage are time - varying, and the response signalbehaves a non - stationary character. thus, it is generally recognized that the linear time - varying ( ltv ) model is moreappropriate and better than linear time - invariant ( lti ) model to capture theinstantaneous dynamical behaviors
然而事實上，結構的損傷使得其物理參數和動態特性隨著時間而變化，結構的響應具有非穩態的特徵。因此，利用線性時變系統模型，獲取系統的時變特徵，才更有利於結構破損診斷，線性時變系統的參數識別也受到了越來越多的關注。 -
Based on the existing theoretical results on model predictive control, this thesis is devoted to the development of the framework of robust model predictive control with guaranteed robust feasibility, roboust stability and real - time applicability. to achieve this goal, the relevant theory and approaches, such as linear matrix inequalities ( lmi ), robust controllable invariant set, robust controllable contractive set and multi - parameter linear programming, are employed in the research work
本論文在預測控制理論已有研究成果的基礎上，利用線性矩陣不等式、魯棒可控不變集、魯棒可控收縮集、多參線性規劃等相關理論和方法，探索具有可行性、穩定性和一定實時性保證的魯棒預測控制設計框架。
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