Finally,numerical simulations are performed to demonstrate the effectiveness of the proposed method,and it shows that two different time scales exist in reaction error system.

In autocatalytic chemical reaction system,the reaction error was defined as the difference beweeen actual reaction state and control objective,and based on Lyapunov stability theory and anti-synchronization thought,a general scheme was presented,which can be used to control the concentration of the whole reaction system in some special states by selecting the controller and the input signal.

Solvability and complete parametric approach for output regulation problems of matrix second-order systems via error feedback;

In order to overcome it,wavelet neural network equalizer using error feedback is employed to cut the autocorrelation of the error signal.

The structure and algorithm of a discrete orthogonal wavelet decision feedback equalizer using error feedback were proposed.

The author integrates the inner parameter characteristic of PID and the affect to the system made by the feedback error and set a second derivative surface model of a heater with pure lag as the control target.

Extending hidden-layer backpropagation neural network and its training algorithm;

The connectionist learning by backpropagation makes use of weights-change-only where the learned knowledge is concentrated only in the inter-neuron connections of the applied network and the activation functions of neurons remain constant during the learning process.

Combining wavelet analysis and neural network characteristics, the error back propagation wavelet neural network based structure and algorithm to ship roll time series prediction are given .

The main task of this paper is to study the retrieval error of salinity retrieval algorithm in terms of ocean salinity microwave remote sensing, analyze the influencing factors of salinity remote sensing and determine the correction method.