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Adaptive control is seen as a two part problem, control of plant dynamics and control of plant noise. The parts are treated separately. An unknown plant will track an input command signal if the plant is driven by a controller whose transfer function approximates the inverse of the plant ...
inverse controlneural networksplant disturbanceplant dynamicsControl of internal plant noise is accomplished with an optimal adaptive noise canceller. The canceller does not affect plant dynamics, but feeds back plant noise in a way that minimizes plant output noise power....
Fig.1ACvariable-freIuencyvelocitymodulationsystemwithadaptiveinversecontrol 3 控制方案的实现 依据图 1 自适应逆控制的转速子系统原理框 图的上半部分,可得图 2 自适应逆控制结构框图 . G c ( Z ), G C ( Z )虽然都取为对象模型的逆,但由于 二者的作用不同,所以建模信号不同、建模结构框 图也不同,并...
In this paper, we see adaptive control as a three-part adaptive-filtering problem. First, the dynamical system we wish to control is modeled using adaptive... Plett,L G. - 《IEEE Transactions on Neural Networks》 被引量: 396发表: 2003年 Adaptive Inverse Control of Linear and Nonlinear Syst...
Simulations have confirmed the effectiveness and superiority of the proposed WRNN adaptive inverse control strategy. 展开 关键词: system identification Wiener recurrent neural network adaptive control inverse control DOI: 10.1109/FPM.2015.7337174 被引量: 3 ...
Summary This chapter contains sections titled: Introduction Representation and Analysis of MIMO Systems Adaptive Modeling of MIMO Systems Adaptive Inverse Control for MIMO Systems Plant Disturbance Canceling in MIMO Systems System Integration for Control of the MIMO Plant A MIMO Control and Signal Processin...
The strong inverse association between ADA responses and bNAb half-life suggests that drug immunogenicity has an important effect on PEP efficacy. Indeed, the single bNAb treatment regimen minimized ADA and was therefore sufficient to blanket the time of greatest vulnerability for viral spread. ...
In Liu, Yin, Gao, Alsaadi, and Hayat (2015), an adaptive stabilization control was studied for nonlinear high-order systems with stochastic inverse and uncertain parameterization nonlinear. An adaptive partial state feedback control was framed to render globally stability in probability of the ...
The paper presents a Takagi-Sugeno-Kang (TSK)-type recurrent fuzzy neural network (TRFNN) adaptive inverse modeling control for a class of nonlinear discrete-time time-delay systems. This type of controller uses a TRFNN as an adaptive inverse modeling controller. TRFNN is a recurrent fuzzy neu...