lyapunov-based nonlinear control 中文意思是什麼
lyapunov-based nonlinear control
解釋
基於李雅普諾夫方法的非線性控制-
W. dixon, d. dawson, a. behal and s. nagarkatti, nonlinear control of engineering systems : a lyapunov - based approach, springer, 2002
胡躍明，非線性控制系統理論與應用，國防工業出版社， 2002 。 -
Firstly, based on a modified lyapunov function and the approximation capability of the first type fuzzy systems, two new design schemes of decentralized adaptive fuzzy controller for two class of similar multivariable nonlinear continuous systems with a triangular matrix function control structure is proposed in this paper, respectively
本文首先對兩類結構相似的具有下三角形矩陣函數控制增益的多變量非線性連續系統，基於一種修改的李亞普諾夫函數，並利用第一類模糊系統（即具有線性可調參數的模糊系統）的逼近能力，分別提出一種分散自適應模糊控制器設計的方案。 -
This paper considers the ilc from an adaptive control viewpoint. two kinds of new algorithm are proposed for ilc of essential nonlinear systems, which avoid some drawbacks and restricted assumptions of traditional ilc, based on lyapunov stability theory and backstepping technique of nonlinear system
本文利用自適應理論設計迭代學習控制，基於lyapunov穩定性理論，結合本質非線性系統的backstepping設計方法，提出了兩類本質非線性系統的迭代學習控制新演算法，這些演算法克服了傳統迭代學習控制的許多缺陷，放鬆了傳統演算法的一些限制性假設。 -
After introduction to the principle, the realizing methods and applications of chaos anti - control, the state of art of chaos anti - control methods both at home and abroad are aimed and summarized : including chaos anti - control based on lyapunov exponents allocation, chaos anti - control based on added linear or nonlinear state feedback, chaos anti - control based on the alteration of the dynamics of the available chaos attractors, chaos anti - control based on the time delayed system parameter perturbation or time delayed state feedback, chaos anti - control based on the precise tracking of the reference chaos system
摘要在介紹混沌化控制的原理、方法、應用的基礎上，對如下混沌化控制方法的國內外現狀進行綜述：基於李雅普諾夫指數配置的混沌化控制、對受控系統施加線性或非線性狀態反饋輸入的混沌化控制、通過對已有混沌吸引子進行變異來實現混沌化控制、通過施加時滯參數攝動或時滯狀態反饋來實現混沌化控制、通過受控系統狀態對已知混沌參考系統狀態的精確跟蹤來實現混沌化控制。 -
Finally, the closed loop control strategy through nonlinear states feedback is designed by a lyapunov function for the averaged system and realize the position control of the non - holonomic robot. the simulation results show that the open - loop control method based on neural network and the feedback control method of the position are effective
模擬結果表明本文設計的基於神經網路的位置開環控制方法及針對簡化哈爾濱工程大學博士學位論文後的平均系統設計的基於李亞普諾夫函數方法的非驅動臂任意位置臂環控制是非常有效的。 -
It is necessary to design robust controllers based on the normal plants so that the controlled systems have satisfactory properties by considering the existence of uncertainties. based on lyapunov stability theory, geometry theory for nonlinear systems, dissipative theory and etc, the robust hk control for uncertain nonlinear systems and the reliable h control problem of uncertain nonlinear systems are studied, and the control laws are proposed correspondingly for several typical nonlinear systems in this paper. the robust controller design methods are presented and the proposed method is applied to design the control system of lift feedback fin stabilizer by considering the linear model, nonlinear model and coupled nonlinear model of ship motions
本文研究了不確定非線性系統的魯棒控制問題，以lyapunov穩定性理論、非線性系統幾何理論、耗散理論等為基礎，對非線性系統的魯棒h _控制、非線性系統的魯棒h _可靠控制進行了深入的研究，針對幾類典型非線性系統，提出了相應的魯棒控制方法，對于升力控制減搖鰭系統（本文中簡稱為力控鰭系統） ，考慮船舶運動的線性模型、非線性模型和非線性耦合運動模型，提出了相應的控制方法。 -
Abstract : in this paper a new adaptive neural network controller is presented for a class of continuous - time nonlinear time delay systems subject to modeling uncertainty. the neural network model requires a priori knowledge about plant dynamics to provide prediction models for time delay systems. an adaptive controller based on neural networks was developed to produce the desired tracking performance in uncertain conditions. stability of the closed - loop system is proved by the lyapunov method. the effectiveness of the proposed scheme was demonstrated through its application to the control of a continuous stirred tank reactor
文摘:針對模型不確定性的連續時間時滯系統，提出了一種新的神經網路自適應控制.系統的辨識模型是由神經網路和系統的已知信息組合構成，在此基礎上，建立時滯系統的預測模型.基於神經網路預測模型的自適應控制器能夠實現期望軌線的跟蹤，理論上證明了閉環系統的穩定性.連續攪拌釜式反應器模擬結果表明了該控制方案的有效性 -
Since sontag - type control based on control lyapunov function is an important control law in robust stabilization of affine systems, we point out that is a kind of variable structural control in essence. due to this recognition and the fact that control lyapunov functions are difficult to be constructed, we propose the concept of weak control lyapunov function and then prove the stabilizing property and the robustness of sontag - type control. using the way of proposing the control lyapunov function and the special structure of sontag - type control, we investigate the dissipassivation control of a kind of perturbed nonlinear systems
基於控制李雅普諾夫函數的sontag - type控制，是仿射系統魯棒鎮定研究中一種非常重要的控制律，通過研究我們發現，該控制律實質上是一種變結構控制；基於這一認識，也考慮到控制李雅普諾夫函數難于構造，我們抽象出弱控制李雅普諾夫函數概念，並證明了基於弱控制李雅普諾夫函數的sontag - type控制的鎮定作用和優化特性；借鑒控制李雅普諾夫函數的抽象方式以及sontag - type控制的特殊結構，探討了一類受擾系統的耗散化控制；探討了齊性度理論與控制李雅普諾夫函數相結合的鎮定設計問題。 -
At first, the robust h control for uncertain nonlinear systems with norm bounded uncertainties is studied, based on a positive definite solution of hamilton - jacobi - issacs inequality ( hji ), a sufficient condition is given such that the closed loop system is asymptotically stable and its l2 - gain is less than or equal to a prescribed value. using this condition state feedback control law and an output feedback control law which ensured robust hx performance of the closed - loop system are derived. due to the difficulty to solve hji, a method is proposed which do not require solving it by using an appropriate lyapunov function
首先，研究了范數有界型不確定非線性系統魯棒h _控制問題，基於hamilton - jacobi - issacs不等式（ hji ） ，給出了閉環系統漸近穩定且l _ 2 -增益有限的狀態反饋和輸出反饋設計演算法。考慮求解hji的困難性，針對不確定非線性系統，通過適當地選擇lyapunov函數，提出了求解非線性系統魯棒h _控制問題的演算法，可以避免求解hji 。 -
Based on this characterization, we improve the theoretic result which is the foundation of lyapunov backstepping design. the problem that how to construct a control lyapunov function from a weak lyapunov function is a significant one, because the successful reconstruction implies that robust analysis and design can be probed in depth. for affine nonlinear systems, we present a sufficient reconstruction condition and interpretate the constructing procedure by typical examples
刻畫一類存在半正定弱李雅普諾夫函數的全局漸近穩定系統，並用所得結果改進了李雅普諾夫遞推設計的一個重要理論依據；如何由弱李雅普諾夫函數重構控制李雅普諾夫函數，是一個十分重要的問題，因為成功的重構意味著可以進行深入的魯棒分產摘要析與設計，針對仿射系統我們給出了可以重構的充分條件，並用典型例子說明了構造過程 -
We modeled the controlled chaotic systems in neural networks with linear outputs. based on lyapunov theory and control methods of nonlinear systems, the change law of weights of neural networks and a nonlinear feedback controller are designed. the scalar output of the model can synchronize the given scalar chaotic signal
該方法通過坐標變換，利用線性輸出神經網路構造被控混沌系統的模型，並基於lyapunov理論與非線性系統控制方法，設計出神經網路權值變化規律與非線性反饋控制器，使神經網路模型的標量輸出能大范圍同步于給定的摘要標量混沖信號。 -
Such structure can be described with strict feedback system. motivated by vehicle cruise control, this paper investigates nonlinear robust control of strict feedback system and presents a lyapunov - based design method : dynamic surface control and proves the exponent stability and arbitrary small bounded tracking error of the closed loop system
本文在汽車巡航控制應用背景下，討論了嚴格反饋非線性系統的魯棒控制問題，給出構造性的非線性控制器設計方法： dsc （ dynamicalsurfacecontrol ）魯棒控制器，並對閉環系統穩定性進行了分析，證明了調節問題的指數穩定性和任意有界誤差跟蹤性能。 -
( 7 ) taking advantage of the lyapunov theorems, a simplified method is proposed in this dissertation to testify the local stabilization of the experimental control system, which can be used for reference in the stability analysis of general nn based nonlinear control systems
7 .由於神經網路理論尚不完善，神經網路非線性控制系統的穩定性分析一直沒有明確的理論指導。本文由lyapunov穩定性定理出發，對彈性連桿機構振動主動控制系統的線性化模型進行了閉環穩定性分析，最終證
分享友人