multivariable 中文意思是什麼

Definition of the multivariable control strategy has been provided in sufficient detail with emphasis on the regenerator control, cracking conversion control, pressure balance control, main fractionator bottom control and cracking yields control

從燒焦控制、裂化苛刻度控制、壓力平衡控制、分餾塔底控制和裂化產率優化控制等五方面詳細論述了反應-再生系統的控制策略。

Multivariable fuzzy expert controllerfor poultry incubator

電腦孵化機多變量模糊專家控制

We discussed four common outlier tests in pls regression, included partial f test, residual plot and normal quantile plot, latent variables plot ( tit plot ), contribution plot of variables to latent variables. among these techniques, the first and second are used frequently in ordinal multiple multivariable regression

實例一的資料來自於衛生管理研究，主要用於偏最小二乘回歸與一般最小二乘回歸之間的優劣比較，以及偏最小二乘回歸離群點檢測方法的實際運用。

The multivariable fuzzy decoupling arithmetic method of the ambs

鋁電解模糊專家控制器的開發與應用

Multivariable robust adaptive backstepping control using matrix factorization

基於矩陣分解的多變量魯棒自適應反推控制

Coke oven is a complex plant with the characters of large time - delay, strong non - linear, multivariable coupling and changeable parameters. the dynamic process of the coke oven is driven by both continuous variables and discrete events. the mean flue temperature is affected by many reasons and it is difficult to control the temperature to required precision by the normal control methods

焦爐是具有大時滯、強非線性、多變量耦合、變參數的復雜對象，直行溫度受多種因素的影響，焦爐生產過程既受連續時間信號驅動，又受離散事件信號驅動，採用常規的控制方法難以將直行溫度控制到要求的精度范圍內。

Aero - engine multivariable learning fuzzy decouple control

航空發動機多變量自學習模糊解耦控制

5. a multivariable process identification based on asymptotic black - box theory is studied. firstly, a high - order mimo arx model and its frequency error bound is estimated from identification data and low - order siso models is obtained from high - order mimo arx model

作者對一種基於漸近黑箱理論的多變量過程辨識方法進行了研究：首先用高階arx模型估計模型參數，並給出高階模型的頻域均方誤差；然後，對高階arx模型進行降階處理。

Load / pressure plant of turbine - generator unit is a complicated multivariable control plant

火電廠單元機組負荷/汽壓對象是一個相對復雜的多變量控制對象。

Also, the author ’ s design strategy and creativity has been given in this paper. specifically, it includes : based on the feasibility analysis of the fit selection of control parameters in the aeration process, the aeration process of wastewater treatment of the joint - constructional complete - mixed activated sludge process has been aimed at in this paper. then, the state equations of the aeration process have been proposed in this paper, which is on the base of dissolved oxygen concentration ( do ) and discharge quantity of sludge ( qw ) as control variables, the concentration of bod and sludge as state variables. based on the present study on optimization control of wastewater treatment, the multivariable optimal control model with restriction factor has been presented in the paper with introducing modern control theory and system analysis into the field of activated sludge wastewater treatment,

具體包括:以完全混合、表面曝氣合建式活性污泥工藝的污水處理曝氣過程為研究對象，在闡述了曝氣過程式控制制參數選取可行性的基礎上，建立了以溶解氧濃度do和活性污泥排放量qw為控制變量，以曝氣池中有機物濃度s和微生物濃度x為狀態變量的活性污泥曝氣過程的基本狀態方程;運用現代控制理論的觀點和污水處理理論，在現有關于污水處理最優控制問題研究的基礎上，建立了有約束條件多變量能耗最小數學模型，該數學模型是以有機物排放總量和狀態變量的末值條件作為約束條件，曝氣過程的能耗最小作為目標泛函;採用增廣拉格朗日乘子法對最優控制問題進行轉化，並對應用極大值原理求解能耗最小這一最優控制問題進行了詳細的解析;引入約束運算元，應用具有控制約束的共軛梯度演算法對能耗最小這一最優控制問題進行求解，並進行模擬實驗驗證。

Based on the multivariable analog of civcle criterion, an observer is designed to estimate the system states and hence the dynamical equations satisfied by the estimation error are derived first

基於多變量的圓判據設計觀測器來估計系統的狀態，進而給出了觀測誤差滿足的動態方程，然後利用積分反推方法，構造性地設計出了輸出反饋鎮定控制器。

Copper matte converting system is a complicated process which has the characteristics of multivariable, nonlinearity, strong coupling, large inertia, time varying and uncertainty and very difficult to carry out real - time on - line control. the purpose of the optimization, decision - making and control of copper matte converting process is to improve the productivity and decrease energy consumption

銅鋶吹煉過程是一類具有多變量、非線性、強耦合、大慣性、時變性和不確定性、難以實時在線控制等特點的復雜對象，銅鋶吹煉過程優化決策與控制的目的是為了提高勞動生產率，實現優質高產和降低能源消耗。

To improve the dynamical property and decoupling capability for a class of multivariable nonlinear systems with strong coupling, based on the principle of decoupling and neural network, a cascade - connected self - adaptive fuzzy - neural network decoupling controller is proposed

摘要為提高多變量、非線性和強耦合系統的動態特性和解耦能力，根據解耦原理和神經網路思想，提出一種兩級串聯結構的自適應模糊神經網路解耦控制器。

Firstly, based on a modified lyapunov function and the approximation capability of the first type fuzzy systems, two new design schemes of decentralized adaptive fuzzy controller for two class of similar multivariable nonlinear continuous systems with a triangular matrix function control structure is proposed in this paper, respectively

本文首先對兩類結構相似的具有下三角形矩陣函數控制增益的多變量非線性連續系統，基於一種修改的李亞普諾夫函數，並利用第一類模糊系統（即具有線性可調參數的模糊系統）的逼近能力，分別提出一種分散自適應模糊控制器設計的方案。

Numerical simulations confirm the strategy ' s validity and feasibility. this strategy provides an effective solution to other nonlinear multivariable control systems as well

模擬實驗證明，該策略是有效和可行的，並為其他非線性多變數系統的控制提供了有效方法。

This course uses computer - aided design methodologies for synthesis of multivariable feedback control systems

本課程使用電腦輔助設計法則來合成多變數回授控制系統。

Optimal periodic control with the lowest operational cost by limiting total substrate discharge mass was studied. through adding new state variable and using supplement functions, the problem with restriction conditions was converted into nonrestriction problem. in addition, the dynamic searching method of optimal step coefficient was developed to modify the conventional gradient method, consequently the calculation problem of the multivariable optimal periodic control was able to be resolved better. it was found that the operational costs of optimal control under various initial states are distinctly different. a new concept of optimal control under optimal initial state was presented. it is pointed out emphatically that to the treatment system without optimal control condition, the suboptimal control with extensive practical value can be realized according to the results of optima control

著重研究了在限制有機物排放總量時，使其運行費用最低的最優周期控制問題.通過增加新的狀態變量和用補償函數法，將本課題的有約束條件問題化為無約束條件問題，並提出了最優步長參數的動態搜索法來修改傳統的梯度法，從而較完善地解決了多變量最優周期控制的計算問題.研究中還發現了不同初始條件下最優控制所需要的運行費用也大不相同，進而提出了最優初始狀態下最優周期控制的新概念，這對保證出水質量的同時進一步降低污水處理成本來說具有更重要的意義.本文還強調指出：對于尚不具備實現最優控制條件的處理系統，可根據最優控制的研究結果實現具有廣泛實用價值的準最優控制

Firstly, the paper models the multivariable discrete state - space model of the air transmission unit by the lab method, using multi - dimensional inverse m series as input stimulus signal

首先利用多維逆m序列作為激勵輸入信號，用實驗法建立出空氣傳送部分的多變量離散狀態空間模型。

A important result is the one - orde r expression of ar ( p ) yt = dyt - 1 + e, from paralleling a high - order differential equation transformation into a one - order differential equation system, the one - order expression exposes that the ar ( p ) is only a certain more - multivariable power series process and, if a process is described as an ar ( p ), the sufficient and necessary condition is the spectrum norm a of the coefficient matrix d less than one. simplification of ar ( p ) not only brings about orthogonal f ( h ) but also provides global foretelling formula

作者用高階微分方程化一階微分方程組的方法，獲得多元弱平穩序列p階自回歸模型的一步滑動平均表達式，證明了ar （ p ）的是一個更高維的冪級數的線性過程，從而，說明了ar （ p ）關于序列依概率成立的充要條件是：該模型更高維的冪級數的線性過程的表達式中系數矩陣d的譜范數1 。

And this algorithms have been proved to be valid by computer analogize for two different model. after a detailed analysis of the glass furnace, put award a method of disassemble multivariable control : the upper levels use fuzzy supervise control, provide reference signal for lower level ; the lower level select and use a modified self - regulating fuzzy controller or a double closed - loop controller for time - sluggish system

在分析窯爐特性的基礎上，以溫度系統為例，根據其被控參數多、大滯后、非線性等特點，提出分層分區的智能控制策略：上層採用模糊監督控制器，為下層提供參考信息，下層根據控制要求及被控對象特性分別採用了一種改進的自校正控制演算法和一種適合於滯后過程的雙環模糊控制器。