global stability problem 中文意思是什麼

global stability problem 解釋
整體穩定性問題
  • global : adj. 1. 球面的，球狀的；全球的。2. 世界的。3. 總體的，普遍的，綜合的。adv. -ly
  • stability : n. 1. 穩定，穩定性，穩度。2. （船等的）復原力。3. 鞏固；堅定，持久不變。
  • problem : n. 1. 問題，課題；疑難問題；令人困惑的情況。2. 【數、物】習題；作圖題。3. （象棋的）布局問題。adj. 1. 成問題的；難處理的。2. 關于社會問題的。
  1. The second section : under the conditions of nonlinear boundary controbility, we consider the initial boundary value problem of camassa - holm equations with dissipative. by using the contractive mapping fixed point theorem and a priori estimates, the existence of global smooth s olution, global attractor in h ~ ( 2 ), t ime p eriodic s olution or almost - periodic solution and the global exponential stability are proved

    第二部分：在非線性控制邊界條件之下，對于帶耗散項的camassa ? holm方程的初邊值問題，用壓縮映射不動點原理及先驗估計方法，證明了整體光滑解的存在性、整體解的指數穩定性、 h ~ 2空間中整體吸引子的存在性以及時間周期解和殆時間周期解的存在性。
  2. Genetic algorithm, as a computational model simulating the biological evolution process of the genetic selection theory of dar - win, is a whole new global optimization algorithm and is widely used in many fields with its remarkable characteristic of simplicity, commonability, stability, suitability for parallel processing, high - efficiency, and practibility. on the other hand, there are many op - timization problems in the field of digital image processing, such as image compression, pattern - recognition, image rectification, image segmentation, 3d image recovery, image inquiry, and or so. in fact all these problems can be generalized as the problem of searching for a global optimal solution in a large solution space, which is the classic application field of genetic algorithm

    遺傳演算法是模擬達爾文的遺傳選擇和自然淘汰的生物進化過程的計算模型，是一種新的全局優化搜索演算法，具有簡單通用、穩定性強、適于并行處理以及高效、實用等顯著特點，在很多領域得到了廣泛應用，另一方面，在圖像處理領域有很多優化問題如圖像壓縮，模式識別，圖像校準，圖像分割，三維重建，圖像檢索等等，實際上都等同於一個大范圍搜索尋優問題，而最優化問題是遺傳演算法經典應用領域，因此遺傳演算法完全勝任在圖像處理中優化方面的計算。
  3. From the simulative experiment and comparing of different cooperative model, we find that toac cooperative model can solve multi - agent social organization, social convention, social evolution, coalition strategies, coalition stability, collaborative problem solving and task allocation in open and distributed multi - agent systems ; can organize multi - agent cooperation, enhance system dependability, reduce resource cost and system communication bottleneck problem ; can share the task and result of multi - agent, and can reach the global optimal of multi - agent utility in task oriented domains ; from time performance, toac model is better than cnp ( contract net protocol ) of r. smith, blackboard cooperative model of newell and the result share model of smith and davis

    通過模擬試驗和結果分析，發現本文提出的toac模型，該模型能夠有效的解決在開放、分佈的mas環境中，多agent的社會組織、社會規范、社會演化、聯盟策略、聯盟穩定性、合作問題求解和任務分配，能夠有效的組織多agent間的協同、提高系統的可靠程度、降低資源開銷和系統通信瓶勁問題，能夠實現多agent任務和結果共享，並能夠達到面向任務領域多agent聯盟效用的全局最優。時間性能上toac模型要優于r . smith的合同網協同模型、 newell的黑板協同模型，以及smith和davis的結果共享協同模型。
  4. Genetic algorithm solves problem by learning from nature and referring to evolution mechanism of creature, which has wide usage, high stability and concise, and global optimization

    遺傳演算法通過向自然學習，借鑒生物進化機制求解問題，具有廣泛的可應用性和高度穩健性、簡明性和全局優化性。
  5. Global stability problem

    整體穩定性問題
  6. The convergence and stability for the schemes are proved, and the error estimates are obtained. chapter 5, consider the damped coupled generalized nonlinear wave equations. in section 5. 2, by coupled a priori estimates and galerkin method, prove the existence and uniqueness of the global smooth solution for the periodic initial value problem and obtain the existence of global attractors

    第四章，考慮一類具耗散的廣義kdv方程組的周期初值問題，在第二節中證明了整體光滑解的存在性和唯一性，得到整體吸引子；在第三節中構造了半離散和全離散的fourier譜格式和擬譜格式，在整體光滑解存在的條件下，證明了這些格式解的收斂性，並得到了誤差估計。
  7. In this paper we study the parameter self - turning control algorithm and the global asymptotic stability control algorithm aiming at two problems, one is the unstable problem caused by the variable structural parameter, the other is the global asymptotic stability problem caused by drift equilibrium point. maglev train can be regarded as several single point suspending systems based on the mechanical decoupling technology

    本文針對懸浮試驗中經常遇到的兩個問題? ?懸浮系統結構參數變化引起系統失穩問題和懸浮系統受到外界干擾而遠離平衡點的全局漸近穩定問題，研究了參數自校正懸浮控制演算法和全局漸近穩定懸浮控制演算法。
  8. ( 2 ) considering the problem that genetic algorithm running result is affected greatly by the initial parameter and it ’ s easy to trap in local optimum, based on its mathematic theory, studied deeply on self - adaptive genetic algorithm, presented a new viewpoint - - superiority inheritance, furthermore, designed adaptive genetic algorithm based on superiority inheritance. the experiment showed that this algorithm could find the global best solution, and had strongly global hunting capability. it is prior to traditional adaptive genetic algorithms on aspects of accuracy, stability, and repeatability etc. it was applied in fast image

    （ 2 ）針對遺傳演算法的初始參數對演算法結果影響較大和易陷入局部最優的問題，在闡述基本數學理論模式定理的基礎上，對自適應遺傳演算法進行了深入的研究，提出了一種優勢遺傳的新觀點，由此設計了基於優勢遺傳的自適應遺傳演算法，通過實驗表明，該演算法能夠達到理想全局最優解，有很強的全局搜索能力，在準確性、穩定性和重復性方面優于當前自適應遺傳演算法。
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