control and status logic 中文意思是什麼
control and status logic
解釋
控制與狀態邏輯-
The dissertation refers to comparatively full literatures in the field of vsc, and the development history and characteristics of vsc are summarized, and the elementary concepts, elementary definitions, elementary properties, elementary principles and design methods are particularly introduced, and the causes of the chattering phenomenon are systematically analysed, and the study status of the chattering phenomenon and the main methods to eliminate the chattering are elaborated. for the deficiencies of traditionary methods, three improved methods are developed, which are improved exponent reaching law solution, variable boundary layer solution and the solution by adding an auxiliary continuous control term. for uncertain linear systems, an adaptive fuzzy integral variable structure control stategy ( afivsc ) is put forward to eliminate the chattering around the sliding plane, which introduces fuzzy logic to soften the non - linear discontinuous sig nal in the control variable and utilizes adaptive theory to adjust output membership function according to how much the uncertainty of the system is
比較全面地查閱了關于變結構控制理論的文獻，總結了滑模變結構控制的發展歷史和特點，詳細介紹了變結構控制的基本概念、基本定義、基本性質、基本原理以及設計方法；系統分析了變結構控制系統抖振產生的機理，並闡述了國內外目前對抖振問題的研究現狀以及消除抖振的主要方法；針對傳統抑制和消除抖振方法的不足，改進了傳統方法，得到了三種新的消除抖振的方法? ?即改進的指數趨近律法、可變邊界層法和附加連續項法；針對不確定性線性系統，在變結構控制策略中引入模糊邏輯和自適應理論來消除滑動平面上的抖振，提出了一種自適應模糊積分變結構控制方案（ afivsc ） ，利用模糊邏輯來柔化控制量中非線性不連續部分，採用自適應理論，根據系統不確定性大小在線調整模糊輸出量的隸屬函數，另外，鑒于模糊控制本質上是有靜差的，所以本文選擇了帶積分項的切換函數，由於積分項的存在使系統較正為無靜差系統。 -
In the constructing of the diagnosis module using the technology of the combination of the fuzzy logic and neural network, which based on the fuzzy adaptive learning control network, a simple kind of capable method for consummate the structure and performance of network is introduced, which includes the rules extraction based on the maximum weights matrix and the parameters amendment based on genetic algorithm by floating - point coding. during the monitoring of the parts condition, the output of the condition monitoring system shows the good working condition of the executing agency by fuzzily deducing from the control instruction send by the auv ' s controller and motion status, and so offers the proof to complete mission and return safely
在珍斷模塊建模中採用模糊邏輯與神經網路結合的技術，以模糊自適應學習控制網路為核心，提出了一種簡單可行的基於最大權值矩陣的規則提取及基於浮點數編碼的遺傳演算法的參數調整的，完善網路結構與性能的方法，並在狀態監測過程中，通過對由控制器輸入的水下機器人運動控制量以及運行狀態的模糊推理，得到執行部件（推進器或舵）的工作狀態優劣程度，為保證水下機器人完成任務，安全返回提供控制依據。
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