adaptive control optimization 中文意思是什麼

adaptive control optimization 解釋
最佳適應控制
  • adaptive : adj. 適合的，適應的。
  • control : n 1 支配，管理，管制，統制，控制；監督。2 抑制（力）；壓制，節制，拘束；【農業】防治。3 檢查；核...
  • optimization : n. 最佳化，最優化。
  1. In this paper, fuzzy pid controller based on t - s model has been studied. due to lacks of criterion of optimization and excessive tuning parameters, the adaptive genetic algorithm with variable cross and mutation probability is used to optimize the parameters and the performance of control systems is improved. firstly, based on modified pid - flc with four fuzzy rules, scaling factor and the fuzzy consequent parameters are optimized by aga with multiple performance indexes respectively

    本文主要研究基於t - s模糊模型構成推理形式的模糊pid控制器，針對以往的模糊pid控制沒有統一的參數整定的準則及大量的待整定參數，本文採用具有動態交叉、變異概率的自適應遺傳演算法（ aga ）優化控制器的待定參數，改善了系統的控制性能。
  2. Perfection and adjustment according to system properties, it combines genetic algorithms with fuzzy control, detailed analyzes the problem of designing fuzzy controller and proposes two advanced schemes : first scheme : the change - of - variables are emerged into input variables of the simple fuzzy controllers of oil feeding pump system as one variable, and one pi block is connected after output of fuzzy controllers, consequently the structure of the improved fuzzy controller is analyzed, finally genetic algorithms with adaptive probabilities of crossover and mutation is applied to optimize membership functions and fusing factors of the fuzzy controllers, and the simulation results of before and after optimization are compared

    由於在模糊控制器的設計過程中存在較多的人為因素，為了實現根據系統特性對模糊規則和隸屬函數進行自動修正、完善和調整，本文將遺傳演算法和模糊控制結合起來，並針對前面設計的模糊控制器中所存在的問題進行了詳細分析，提出了兩種改進方案： 1在簡單模糊控制器的輸入變量中加入了變量變化率的信息，即將輸入變量和變量的變化率融合為一個輸入量，並在模糊控制器的輸出端加入比例、積分環節，然後分析了這種改進后的模糊控制器的解析結構，最後採用改進后的自適應遺傳運算元的遺傳演算法對模糊控制器中的隸屬函數和融合因子進行優化，並將優化前後的結果作了比較和分析。 2
  3. Thirdly, the adaptive iterative learning control is used for the dynamics in the steady state optimization of nonlinear industrial process. the process operates continuously without resetting of initial value. the difficulty of selecting target trajectory is overcome effectively

    第三，對非線性工業控制系統的穩態優化問題，用自適應迭代學習控制對其動態施行控制，不需要狀態重置，系統是連續運行的，並且有效克服了ilc應用到穩態優化控制中目標軌線選取的困難。
  4. Secondly, the author analyzes adaptive encoding control algorithm, pack algorithm and feedback congestion control algorithm suited to mpeg - 4 video. taking into account the matching transport rate and bandwidth, the author gives an improvement and optimization of the feedback congestion control algorithm. finally, a feasible project of network visual telephone is designed

    其次，在視頻數據的傳輸碼率與網路帶寬的適應性方面，作者通過分析適用於mpeg - 4視頻適應性編碼的控制演算法、視頻數據打包演算法和網路擁塞控制演算法，提出了網路擁塞反饋控制演算法的改進和優化思想。
  5. A kind of adaptive recursive optimization control algorithm of weighted generalized predictive control

    一種加權廣義預測自適應遞推優化控制演算法
  6. The problem of local parameter optimization in low synchronization bunch _ rank speed - control system has been researched in this paper. the paper analyzed the problems existing in trational double closed _ loop bunch _ rank speed - control system, and pointed out the influence on performance of system caused by nonlinear parameter with timing variety. added a local mit self _ adaptive controller to double _ closed loop bunch _ rank speed - control system. the results of computer imitating indicated that under same disturbance the performance of system has been improved obviously. 5figs., 1tab., 4refs

    對低同步串級調速系統中局部參數最優化問題進行了分析研究.從理論上分析了傳統的雙閉環串級調速系統中存在的問題，指出了系統中非線性時變參數對系統性能的影響.在雙閉環串級調速系統中增加局部mit自適應規則.計算機模擬結果表明:在相同的擾動作用下，系統的性能得到明顯改善.圖5 ，表1 ，參4
  7. Grey forecast control algorithm is used to suppress the vibration of a plate lamina which simulates the adaptive lamina. firstly, the basic principles of piezoelectric materials are introduced. secondly, by d - optimization method and ansys mode analysis, the proper arrangement of piezoelectric sensors and actuators is determined

    以一套模擬該葉片的環氧樹脂懸臂板（平板葉片）為研究對象，利用壓電智能結構，採用全新的灰色預測控制演算法gfc ，對平板葉片存在的彎曲模態和扭轉模態振動進行單頻主動控制。
  8. 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
分享到 Line

分享到臉書