min-max造句
例句與造句
- Robust design method of predictive controller parameter based on min - max ruler
的預(yù)測控制魯棒參數(shù)設(shè)計 - An approximation algorithm for min - max tree partitioning and an optimal algorithm for min - sum tree partitioning
最小最大樹劃分的近似算法與最小和樹劃分的精確算法 - ( 3 ) dual - rate min - max robust generalized predictive control algorithm is proposed , which adds a constraint output horizon to improve the system properties
( 3 )給出了一類新的雙速率采樣min - max魯棒廣義預(yù)測控制 - Objectives evaluation function is made by using virtual objective method and min - max method . genetic algorithms are used to solve the optimization problem quickly and sufficiently
綜合虛擬目標(biāo)法和極小極大法，構(gòu)造兩個優(yōu)化目標(biāo)的評價函數(shù)，然后采用遺傳算法尋優(yōu)。 - A new merit function ( potential function ) is constructed in chapter three , based on the balanced effect of the min - max problem . because of the non - smoothness , shannon entropy is used to smooth the merit function
鑒于該效益函數(shù)是非光滑的，不便于操作，使用前一章給出光滑函數(shù)做了光滑處理，而得到的光滑效益函數(shù)是一個凸函數(shù)。 - It's difficult to find min-max in a sentence. 用min-max造句挺難的
- In this thesis , we extend the entropy regularization method in two ways : from the min - max problem to general inequality constrained optimization problems and from the entropy function to more general functions
本文從兩個方面發(fā)展了這種熵正則化方法，即將其從極大極小問題推廣到一般不等式約束優(yōu)化問題上和用一般函數(shù)代替熵函數(shù)作正則項，建立新的正則化方法。 - To effectively extract edges , edge pixels are classified according to the difference of intensity distribution , and multiple effective edge features are defined . edges are detected by applying fuzzy reasoning ( min - max centroid method ) , based on local image edge characteristics
該方法在重新定義邊緣特征的基礎(chǔ)上，引入模糊推理理論，從而形成了基于多邊緣特征和模糊推理的邊緣檢測方法。 - Maximum entropy method is an effective smoothing one for the finite min - max problem , which , by adding shannon ' s informational entropy as a regularizing term to the lagrangian function of min - max problem , yields a smooth function that uniformly approaches the non - smooth max - valued function
極大熵方法是解有限極大極小問題的一種有效光滑化法，它通過在極大極小問題的拉格朗日函數(shù)上引進(jìn)shannon信息熵作正則項，給出一致逼近極大值函數(shù)的光滑函數(shù)。 - The second chapter reveals the mathematical essence of entropy regularization method for the finite min - max problem , through exploring the relationship between entropy regularization method and exponential penalty function method . the third chapter extends maximum entropy method to a general inequality constrained optimization problem and establishes the lagrangian regularization approach . the fourth chapter presents a unified framework for constructing penalty functions by virtue of the lagrangian regularization approach , and illustrates it by some specific penalty and barrier function examples
第一章為緒論，簡單描述了熵正則化方法與罰函數(shù)法的研究現(xiàn)狀；第二章，針對有限極大極小問題，通過研究熵正則化方法與指數(shù)(乘子)罰函數(shù)方法之間的關(guān)系，揭示熵正則方法的數(shù)學(xué)本質(zhì)；第三章將極大熵方法推廣到一般不等式約束優(yōu)化問題上，建立了拉格朗日正則化方法；第四章利用第三章建立的拉格朗日正則化方法，給出一種構(gòu)造罰函數(shù)的統(tǒng)一框架，并通過具體的罰和障礙函數(shù)例子加以說明。 - According to specialists ? experience , such dangerous factors as water temperature , water pressure , oxygen density in the tank , the temperature and pressure of water vapor , ect . as well as control rules are made out in safety regulations for oil tankers . by using fuzzy logic ( min - max reasoning ) , all sorts of fuzzy information are processed so as to simplify the control procedure in addition to realize it
其方法是利用模糊邏輯控制的優(yōu)點(diǎn)，不需建立精確的數(shù)學(xué)模型，根據(jù)專家的經(jīng)驗，油輪安全規(guī)則制定出各危險因素（如水溫，水壓，氧氣濃度，壓力，溫度等）的模糊隸屬函數(shù)和一系列的控制規(guī)則，利用模糊邏輯（ min max ）來處理各種模糊信息，使整個推理過程運(yùn)算簡單易于實現(xiàn)。 - " multi - step predictive sequence trajectory tree " , which respects the so - called " casual constraints " , is used to formulate the online optimization problem . and a framework is presented for a novel min - max robust model predictive control approach cf constrained linear time - varying systems with polytopic uncertainty
將“因果約束”引入凸多面體不確定線性系統(tǒng)，按照符合“因果約束”的“多步預(yù)測序列樹”設(shè)計在線優(yōu)化問題，得到一種新型的基于閉環(huán)優(yōu)化的最小?最大魯棒預(yù)測控制方法的框架。 - A robust design method for predictive controller parameter based on min - max ruler is presented that takes into account model uncertainty . simulation results show that it enables predictive controller to keep better control performance when the plant ' s dynamic character change and predictive controller parameters need n ' t be designed again . 3
針對工業(yè)過程的模型不確定性，作者提出了一種基于min - max原理的預(yù)測控制魯棒參數(shù)設(shè)計方法，選擇優(yōu)化時域、控制時域、控制權(quán)矩陣作為魯棒設(shè)計參數(shù)，在參數(shù)設(shè)計時應(yīng)用min - max原理充分考慮模型的不確定信息，提高了控制系統(tǒng)的魯棒性能，降低對模型辨識精度的要求。 - This thesis discusses several researches on multi - rate predictive control contenting of two parts . the first part is the algorithm design , which consists of dual - rate predictive control based on the pole placement , dual - rate min - max robust generalized predictive control and dual - rate predictive control for time - delay systems ; the second part is the performance analysis of multi - rate predictive control systems
包括基于極點(diǎn)配置的雙速率采樣預(yù)測控制算法、雙速率采樣min - max魯棒廣義預(yù)測控制算法和時滯多速率采樣預(yù)測控制算法三種情形;第二部分研究多速率采樣預(yù)測控制系統(tǒng)的性能分析