Non - linear structural identification using a recursive model reference adaptive algorithm 基于模型參考自適應算法的非線性結構損傷識別
In this thesis , a parametric identification method for non - linear hysteretic systems is presented based on recursive model reference ( rmr ) adaptive algorithm 本文采用了一種基于模型參考自適應算法的結構參數(shù)辨識方法來識別線性和非線性結構的系統(tǒng)參數(shù)。
The system realize the random binary three - dimensional recursive model , and generate three - dimensional tree model to compose natural scene ; in addition , it apply the accelerate algorithms based on the integrated polygon and texture , and realize interactive walkthrough in virtual environment 該系統(tǒng)用c + +語言實現(xiàn)了隨機二叉三維遞歸模型,生成三維樹木造型組成自然景物,并應用基于幾何和圖像的混合漫游加速算法,實現(xiàn)了虛擬環(huán)境的交互漫游。
In this thesis , our research work mainly focuses on the following four aspects : 1 , studying and perfecting the generation algorithms of plant modeling , building three - dimensional plant model on the basis of studying current algorithms of plant modeling , combining iterated function system and l - system , we brought forward the random binary three - dimensional recursive model 本文的主要工作內(nèi)容集中在以下四方面: 1 、研究并改進植物建模算法,生成三維的植物模型在研究目前植物建模常用算法的基礎上,結合迭代函數(shù)系統(tǒng)法( ifs )和l系統(tǒng)法提出了樹木類植物的隨機二叉三維遞歸模型。
This research addressed an urban traffic intelligent control system , which adopts a multi - agents coordination in urban traffic control to coordinate the signal of adjacent intersections for eliminating the congestion of traffic network . an agent represents a signal intersection control , and multi - agents realize coordination of multiple intersections to eliminate congestion . based on recursive modeling method and bayesian learning that enables an agent to select his rational action by examining with other agents by modeling their decision making in conjunction with dynamic belief update . based on this method , a simplified multi - agent traffic control system is established and the results demonstrate its effectiveness . it is very important for its 本文中提出一種城市交通智能控制系統(tǒng),針對城市交通網(wǎng)絡中相鄰交叉口的交通流可能相互沖突,即局部交通流的優(yōu)化可能引起其他區(qū)域交通狀況的惡化的問題,采用多智能體協(xié)調(diào)控制方法來協(xié)調(diào)相鄰交叉口處的控制信號消除網(wǎng)絡中的交通擁塞.提出以一個智能體的方式實現(xiàn)一個信號燈交叉口控制,對多個信號燈交叉口形成的交通網(wǎng)絡采用多智能體協(xié)調(diào)控制的方式實現(xiàn)網(wǎng)絡流量優(yōu)化來消除擁塞.文中提出由遞歸建模和改進的貝葉斯學習相結合的多智能體系統(tǒng)來使智能體可以確定其他智能體的準確模型并實時更新信息,并基于上述方法在簡單的交通網(wǎng)絡模型上建立了多智能體交通控制系統(tǒng),仿真結果表明了方法的有效性,對實現(xiàn)智能交通系統(tǒng)有重要意義