Finally,for the hysteresis and creep nonlinearities of the piezoelectric component and time variation factors of the system,a single nerve-cell adaptive PSD intelligent control method was presented.
By taking account of nonlinearity, time variation and unsteadiness of idling process in engines,this paper studies the application of fuzzy control theory in the idling speed control.
In cousideration of the nonlinearity and time variation of the dynamic model in the process of the antenna outspreading,based on neural network,the paper designed a process control system that has the functions of forecast and real-time optimization,providing an intelligent control method for extensible antenna outspreading process velocity.
Aiming at diversity and time variation of the controlled object in rectification power supply control system,combining fuzzy adaptive control with common PID control algorithm in this paper,Self-tuning fuzzy adaptive PID con-troller is designed.
The dynamic measurement is a non stationary random process varying with the measuring time. The dynamic measuring data have the characteristics of time variation, randomness, correlation and dynamic.
Whereas it is difficult to acquire satisfied control effectiveness for this process using traditional PID control or modern control based on accurate mathematic model, because of its serious-nonlinear, time-variable, complexity and uncertainty characteristics.
Aiming at the problems such as time-variable parameters,nonlinear dead zone of the water auto-regulation system,a design of fuzzy control system based on fuzzy-neural network is presented in this paper.
However, the running mechanism of diesel engine is quite complex, and the system is nonlinear and time-variable, so difficulties in physical modeling arise.
This paper studies some important problems in three major respects of Measurement-BasedLoad Identification Method: Time dependence characteristic of load, mechanism of syntheticdynamics and model validation.
The main points of the research work of this thesis are as follow:Becauce of load time dependence characteristic, different models, whch have different orderand parameters, can be built for different set of field data, this results in is a difficulty in chooseparameters. So a two-step concept in load modeling is proposed as follow: The first step is toidentify the most likely model structure to describe different sets of measured data, instead ofpursuing a perfect fitting result from one set of data.
The continuous wavelet transform indicates the period change with time of seismic activity,according to the continuous wavelet transform analysis result of the Ms≥47 magnitude time series,it is forecasted that the seismic activity in Xinjiang will be weak during 2002～2005 and the number of Ms≥47 earthquakes will be reduced. Moreover in 2006～2007 Ms≥7 earthquakes may occur again in Xinjiang.
Limiting values of certain performance indexes for unboundedly increasing service time variation coefficient are determined and approximate formulas for the performance characteristics of the system for large variation coefficients are derived.
Research on the measurement and calculation of the space-time variation of the microaccelerations on board orbital stations and new methods of analyzing technological experiments based on models of convective heat and mass transfer are reviewed.
In the Rayleigh equation, physical effects are included such as the reaction of recoil of molecules of the gaseous phase on the interface and the time variation of the density of the gaseous phase during a process with phase transition.
Because the catastrophe diffusion and rescue functions are both nonlinear and time-variable, it cannot be solved by common mathematical programming methods.
The strong Hα emission line displays broad Thompson wings and time-variable core absorption, providing evidence that the stellar wind is inhomogeneous, and a slightly blue-shifted P Cygni absorption profile.
In the case of the nonlinear time dependence of mean values of the quantities under study, the simple interpolation of the indices by all groups leads to incorrect estimates in view of the neglect of the cohort dynamics.
We study the possibility of the existence of stable motions for broad classes of time dependence of the external pressure, namely for monotonic and periodic dependences.
It is shown that stability is possible only for infinitely large bubble radii or for very specific assumptions concerning the initial conditions and the pressure-time dependence law.
They are potential tools for the decomposition and handling of signals that, like speech or music, seem over short intervals to have well-defined frequencies that, however, change with time.
To deal with the problem that the process may change with time, recursive PLS (RPLS) algorithm is used to update the model based on the new batch data and the old model parameters after each batch.
It is shown that differential profiling enables monitoring of how the boundaries of the zones where water drains through the body of a dam change with time.
The spatial pattern of cellulolytic activity remains stable during the growing season, and the integrated parameters of frequency distributions in zones with different pollution levels change with time in the same direction.
时变性
time variation
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