魯滿保 的英文怎麼說
中文拼音 [lǔmǎnbǎo]
魯滿保
英文
lu manbao-
5. standard h2 / h and robust h2 / h mixed control problems are systematically analyzed by the method of linear matrix inequation. design method of the optimum guaranteed performance control rule as well as the one which satisfies the given disturbance attenuation degree and performance constraints are discussed 6
運用線性矩陣不等式方法，系統分析了標準h _ 2 h _混合控制問題及魯棒h _ 2 h _混合控制問題，探討了滿足給定的擾動衰減度和性能約束的保性能控制律及最優保性能控制律的設計方法。The scabbard is content to be dull when it protects the keenness of the sword
1當刀鞘保護刀的鋒利時，刀鞘滿足於它自己的魯鈍。The conventional variable structure control technique for uncertain system requires that the uncertainty bound is known as a premise to assure robustness. the requirement creates an over - conservative controller and enlarges chattering. the proposed controller regards the influence of unknown disturbances and parameter uncertainties as an equivalent disturbance and generates an on - line estimation used in smc to cancel the slowly varying uncertainties by the mechanism of time delay. the reaching law approach is used to get the conditions and band of quasi - sliding mode. the new methodology offers a robust feedback control with much lower gains and reduces chattering without a prior knowledge of the uncertainty bounds or matched conditions
常規變結構控制用於不確定系統，須利用不確定性界確保系統的魯棒性，控制器過于保守且抖振變大.本文把未知干擾和參數不確定性的影響等效為名義系統的外界干擾，利用時延技術對干擾進行在線估計，並將估計值引入到變結構控制中，從而抵消掉系統中的慢變不確定性，利用離散趨近律法，推出了準滑動模態的存在條件及其帶寬.該方法克服了以往控制方法中須已知不確定性界的限制，且不必滿足匹配條件，用較低的控制增益保證了系統的魯棒性，降低了準滑動模態帶即削弱了抖振Abstract : the conventional variable structure control technique for uncertain system requires that the uncertainty bound is known as a premise to assure robustness. the requirement creates an over - conservative controller and enlarges chattering. the proposed controller regards the influence of unknown disturbances and parameter uncertainties as an equivalent disturbance and generates an on - line estimation used in smc to cancel the slowly varying uncertainties by the mechanism of time delay. the reaching law approach is used to get the conditions and band of quasi - sliding mode. the new methodology offers a robust feedback control with much lower gains and reduces chattering without a prior knowledge of the uncertainty bounds or matched conditions
文摘:常規變結構控制用於不確定系統，須利用不確定性界確保系統的魯棒性，控制器過于保守且抖振變大.本文把未知干擾和參數不確定性的影響等效為名義系統的外界干擾，利用時延技術對干擾進行在線估計，並將估計值引入到變結構控制中，從而抵消掉系統中的慢變不確定性，利用離散趨近律法，推出了準滑動模態的存在條件及其帶寬.該方法克服了以往控制方法中須已知不確定性界的限制，且不必滿足匹配條件，用較低的控制增益保證了系統的魯棒性，降低了準滑動模態帶即削弱了抖振The design of decentralized robust reliable controller is studied for a class of large - scale system with parametric uncertainty, control laws are designed that guarantee close - loop asymptotic stability and reduction of the effect of an augmented disturbance input of an augmented disturbance input on the controlled output of a prescribed level, not only when the system is operating properly, but also under actuator failures
摘要針對一類具有不確定性關聯大系統，研究其魯棒分散可靠狀態反饋控制器的設計方案，採用該方案設計的可靠控制系統，不僅在系統運行良好的條件下，而且在系統的執行器元件出現失誤的情況下，仍能確保系統內部狀態的穩定性，並同時滿足給定的性能指標。This dissertation presented two new methods of robust adaptive track control for a class of mimo strong nonlinear system with external disturbance. one method makes use of taylor approximation principle to linearize the mimo strong nonlinear system at the ideal equilibrium point, meanwhile external disturbance is considered, and then designs two on - line neural network controller respectively, which can dynamically compensate the high order items of taylor series and the control signals at ideal equilibrium point under the drive of state error between linear and nonlinear system. a linear feedback controller obtained by pole assignment and two on - line neural network act on the practical mimo high nonlinear system together, guaranteeing the whole system robust stable and tracking the specified signal ; the other method designs three on - line neural networks for this class of system
本文對於一類含有外部擾動的多輸入多輸出（ mimo ）強非線性系統，提出了兩種新的魯棒自適應跟蹤控制方法，第一種利用了taylor近似的原理，在考慮了外部擾動的情況下，將mimo強非線性系統在理想平衡點處線性化，分別設計了兩個在線神經網路控制器，在線性和非線性系統之間的狀態誤差驅動下動態補償系統的taylor近似高階項及理想平衡點處的控制信號，滿足極點配置方法的線性反饋控制器和兩個在線神經網路聯合作用於實際的被控mimo強非線性系統，在保證整個系統魯棒穩定性的情況下，能夠跟蹤給定的指令信號；另一種方法是針對這類系統設計了3個在線神經網路，分別實時抵消這類非線性系統中的非線性部分、與控制量耦合的非線性項以及外部擾動，使得受控系統的輸出可以完全跟蹤給定輸入參考信號。The dynamic matrix control algorithms based on finite impulse response are studied. the model errors are defined in the form of upper and lower bound and the error square sum of impulse response coefficients of single - input / single - output systems. the robust stability conditions are proposed for closed - loop systems using dmc in the form of lmi, which can assure the closed - loop system using dmc algorithm to be asymptotically stable, when the coefficients of characteristic polynomial do n ' t satisfy jury ' s dominant coefficient lemma
浙江大學博士學位論文4 .研究了基於脈沖響應模型的動態矩陣預測控制田mc ）演算法，針對單輸入、單輸出系統可能出現的預測模型誤差，分別以脈沖響應系數上下界和脈沖響應系數誤差平方和的形式對預測模型的模型誤差進行定義，根據該定義以線性矩陣不等式的形式分別提出了閉環系統魯棒穩定判據，當閉環多項式系數不能滿足j切嘆主系數定理的情況下仍能保證系統閉環穩定。By the approaches in this dissertation, mrd is able to attenuate seismic excitation and maintain the system robust stability. this approaches is simply, and suitable to apply to atual structures with facility
本文所提出的方法保證了在mrd作為建築結構振動控制裝置時，在滿足魯棒穩定性情況下，具有最優的振動抑制性能。The integrated analyzing and sorting toward ids data, the accurate forecasting of the intruders and common visitors etc, all come down to the multiple data conformity disposal. therefore, it is vitally important to develop a perfect nonlinear conformity disposal method. however, some favorable characters of ann can content these ids working demands perfectly, in additon, the capability of nonlinear mapping of ann also make sure that the system can execute simple or complex classification and save the information into the coefficent of connecting power, maintain the network robust and fault toleration. so more and more people alter one after another their working focus to the nonlinear mathematic model based on the ann in order to resolve the complex problems in ids system much better
入侵檢測工作屬于分類識別問題，其中存在著大量的非線性問題，對入侵檢測資料進行綜合分析與分類，準確判別惡意訪問和正常訪問等都涉及到多資料的整合處理，因此研製理想的非線性整合處理方法是非常必要的，而神經網路由於其內在的對不確定性的學習與適應能力，恰好能滿足入侵檢測工作分類識別的需求，另外神經網路的非線性映射能力也是保證其成功實現各種簡單或復雜分類的主要原因，它將信息分散式存儲于連結權系數中，使網路具有較高的容錯性和魯棒性。Firstly, considering the uncertainty as full - block matrix whose h norm is bounded, a robust controller is designed and robust stability of the system is analyzed using method. secondly, given the structure information of the uncertainty, synthesis is adopted to design a robust - performance controller to eliminate conserveness in h design. finally, combining the individual advantage of h2 control and h control, a mixed h2 / h optimal controller is designed based on linear matrix inequality which makes the system have good time - domain lqr performance as well as robust stability
首先，將未建模不確定性看成是范數有界的滿塊矩陣，設計了h _魯棒控制器並用方法分析了系統的魯棒穩定性；其次，考慮未建模不確定性的結構信息，利用綜合設計了魯棒性能控制器，克服了h _控制理論設計時的保守性；最後，結合h _ 2控制和h _控制各自的優勢，基於線性矩陣不等式（ lmi ）設計了h _ 2 h _混合最優控制器，使得系統既具有良好的時域lqr性能又具有較強的魯棒穩定性。分享友人