optimal adaptive control 中文意思是什麼
optimal adaptive control
解釋
最優適應控制-
The mrafc scheme employs a reference model to provide closed - loop performance feedback for generating or modifying a fuzzy controller ' s knowledge base. the adaptive compensation term of optimal approximation error is adopted. by theoretical analysis, the closed - loop fuzzy control system is proved to be globally stable, with tracking error converging to zero
該方案利用參考模型作為閉環系統的反饋信號來產生、調節模糊控制器的規則庫，並通過引入最優逼近誤差的自適應補償項來消除建模誤差的影響，不但能保證閉環系統穩定，而且可使跟蹤誤差收斂到零。 -
Firstly, based on backstepping and the supervisory control strategy, a robust adaptive fuzzy controller is designed for a class of nonlinear systems. the first type fuzzy logic system is used to approximate the unknown part of the process. the adaptive compensation term of the optimal approximation error is adopted
本文首先針對一類不確定非線性系統，基於backstepping方法，利用監督控制，引入最優逼近誤差的自適應補償項，並利用型模糊邏輯系統逼近系統的未知部分，提出了一種魯棒自適應模糊控制器設計方案，運用李亞普諾夫第二方法，先證明了閉環模糊控制系統全狀態有界，再證明了跟蹤誤差收斂到零。 -
There are many plants that have the character of time - varying, large delay, large inertia in the process of production of modern power station such as the superheated steam temperature, the reheated steam temperature, the water treatment of boiler and the load regulation. some of them have the strong character of nonlinear and some of them are multivariable coupling systems it is very difficult to obtain good effect of control by conventional pid control. it is necessary to set up the mathematics models of controlled plants if applying control means of modern control theory such as self - adaptive control, optimal control ， decoupling control and predictive control. and these control systems have large calculation and bad character of real time in general. these disadvantages make them be not able to meet the need of real production process and limit the application of them in modern power station. now the generator units are developing towards large capacity and high parameters. many new kinds of generating electricity means are coming into being. the characers of production units of power station become more and more complex but the demand to quality of control becomes more and more strict. the new control means are in bad need to control them effectively
現代電站的生產過程中存在過熱汽溫、再熱汽溫、鍋爐水處理、負荷調節等許多大遲延、大滯后、特性時變的對象，它們中有些還是具有強非線性特性的對象或多變量耦合系統，採用常規的pid控制手段很難取得良好的控制效果。若應用現代控制理論中的自適應控制、最優控制、解耦控制、預測控制等控制手段，則需要建立被控對象的數學模型，而且往往控制系統的計算量大、實時性差。這些缺點使其很難滿足實際生產過程的需要從而極大地限制了其在現代電站中的應用。 -
An adaptive rate control scheme based on the theory of stochastic optimal control was proposed. it can balance real - time transmission with continuity of video
在隨機最優控制理論的基礎上，提出了一種自適應的碼率控制演算法。 -
Adaptive optimal time control of the rudder
舵的自適應時間最優控制設計 -
Based on traditional pid controller, by using fuzzy neural network to identify the process and bp neural network to tuning the parameters of pid, a neural network adaptive pid controller is constructed and optimal control of glass - furnace melting pond temperature is achieved
本文在常規pid控制器的基礎上，利用模糊神經網路對過程進行辨識，開採用bp神經網路調整pid控制器的三個參數，構成了神經網路自適應pid控制器，實現玻璃窯爐熔化池溫度的優化控制。 -
The paper firstly combined the aerodynamic model, pollutant model, traffic model and the optimal operating fans selection model and then established the sample data gaining program to produce the optimal sample data ; secondly, the multi - layer forward neural network and the fuzzy control is combined within an equivalent structure, after the learning of sample data, the neural - fuzzy control system for the road tunnel longitudinal ventilation is produced ; thirdly, the optimal operating fans selection model is replaced by the fuzzy control model to make the tunnel ventilation simulation program, and then the control results under different traffic flow circumstances are evaluated in the matlab environment ; finally, the adaptive ability of the neural - fuzzy control system is discussed
本文首先結合空氣動力學模型、污染模型、交通模型和最優風機開啟臺數選擇模型建立樣本數據獲取程序，利用該程序產生不同交通流下的最優樣本數據；然後，將多層前向神經網路與模糊控制進行結構等價型融合，通過學習最優樣本數據，建立公路隧道縱向通風神經模糊控制系統；之後，用此模糊控制模型替代最優風機開啟臺數選擇模型建立基於模糊控制的隧道通風模擬程序，在matlab下模擬模擬不同交通流下的隧道通風以測評控制效果；最後，對神經模糊控制系統的適應性進行了討論。 -
Wu, c. j. & wang, l., 2003, adaptive optimal control of the incompressible flow around an airfoil with smart surface, proceedings of icfm4, dalian
王亮，吳錘結， 2003 ，用智能物面對非定常分離流進行最優自適應控制， 《空氣動力學新進展論文集》 ，北京 -
So a third inventory model is discussed. with the seasonality of the product demand, there will be some oos ( out of stock ), so we expound an optimal replenishment policy with backlogging. this article gives some models of inventory control and the solutions of the models, which prove adaptive to agricultural inventory
本文從農產品自身的特點出發，根據農業供應鏈的實際要求，從不同的側面考慮了農產品庫存在現實中的建模和應用，並給出了相關模型的可行性求解策略，從一定程度上解決了農產品供應鏈中的庫存控制問題。 -
This paper analyzed p - persistent csma / cd protocol and proposed a new adaptive algorithm for the adjustment of the coefficient p by real - time channel traffic sensing based on the feedback control theory, i. e., changing the value of p dynamically through the analysis of networks " flow to control the behavior of the stations sending data frames in the same collision domain, to keep the media channel in an optimal state and to enhance the channel transmission efficiency
該演算法基於對網路流量的分析，在osi物理層通過通道信息量的在線實時檢測，根據反饋控制的原理，在數據鏈路層動態地調整控制輸入參數p ，從而控制站點發送分組數據幀的行為，使通道處于最佳的傳輸狀態，提高通道的效率。 -
Finally, genetic optimization research is summarized on several typical production scheduling problems. after expounding the general idea of genetic algorithm, the comparative advantages in contrast to the traditional algorithm, the basic characteristics of genetic algorithm and its theoretical base, the paper puts emphasis on the efficiency of genetic algorithm in the scheduling of flow shop, and puts forward an improving genetic algorithm : the ordinal genetic algorithm based on the heuristic rules. the new algorithm introduces into the initial group the solution of heuristic algorithm, and in the group structure adopts a strategy of first ordering according to the priority of the adaptive solution, and then defining a new way of choosing probability by segments, which provides more hybridizing opportunity for optimized individuals, and designs variation - control rule to prevent single population and partial optimal solution
在論述了遺傳演算法的思想、與傳統搜索演算法的比較優勢、遺傳演算法的基本特徵和遺傳演算法的理論基礎（包括模式定理、隱含并行性、基因塊假設、欺騙問題和收斂性定理）后，重點探討了遺傳演算法在flowshop調度問題中的潛力和有效性；結合啟發式規則，提出了一個改進的遺傳演算法?基於啟發式規則的有序遺傳演算法，新演算法在初始種群中引入了啟發式演算法的解，在種群結構上採用了先按適應值優劣排序再分段確定選擇概率的新策略，使優質個體有更多的雜交機會，在變異中設計了變異控制規則，以防種群單一化，而陷入局部優化解。
分享友人