linear system造句
1. Some linear systems have the control element connected in shunt rather than in series with the supply, see Fig. 2.
2. How about damped linear system?
3. The minimal realization of a low dimensional SISO linear system in the max - algebra is studied.
4. Presently, the modeling of hysteretic non - linear system is an important research field in non - linear system.
5. This paper is concerned with vibration problems of linear System with viscous damping. A complex mode theory is presented.
6. Robust stabilization of a class of linear system with nonlinear perturbation is discussed in this paper.
7. Chaotic state is that some non - linear system as a unique movement patterns.
8. In order to solve the high order linear system of equations, we have used the frontal method with high accuracy and considerable economy of main memory space.
9. In Linear system, Fourier Transform (FT), Fourier Series (FST), Fourier Z Transform (FZT) and Discrete Fourier Transform (DFT) are used to analyze and process signals.
10. For single input single output linear system, its zeros were determined by the output function of system.
11. NonimmediateLight a fire, build up the steam, turn on a switch, and a linear system awakens.
12. The brushless DC motor ( BLDCM ) is a multi - variable and linear system.
13. Of all the gear frequency errors, the non-linear dynamic characteristics of gear tooth error, pressure angle error and sprial fluctuation error are compared with the results of the linear system.
14. The transfer function of imaging system is modeled using the linear system theory and sampling theory, and the noise is characterized with the three-dimensional noise model.
15. It is proved that the parity check matrix for BCH code is a representation form in the eigenvector basis. Thus the study on cyclic codes may be brought into the framework of linear system theory.
16. The Method for identifying the parameter of mammillary N-compartment model is discussed in this paper on the basis of linear system theory.
17. Greenhouse is a multi - variable coupled time - varying and non - linear system.
18. In this paper an iterative solution with linear convergence rate is presented for linear system.
19. A new method of model reference variable structure control with sliding mode (MRVSCSM) is proposed for a class of time varying linear system.
20. The lab has ten experiments, covering time and frequency domain analysis of linear system, root locus and series compensation of linear system, analysis of discrete and nonlinear system.
21. A detailed demonstration about the provement, the relation with the linear system, the homogeneity property and the additivity property of the superposition theorem is also given.
22. The partial coherence function is defined and its correctness has been verified. Then this result is extended to the linear system of multi-input and multi-output. Finally, its applications...
23. Firstly, the whole control system can exhibit satisfactory dynamic result only by perfect matching the controller and composite pseudo linear system in the generalized inverse control.
24. Firstly, analyzed the characteristic of inverse target's modeling method based on linear wave filter, which is quite successful for studying the linear system.
25. In this paper we describe a position estimation method with linear system models.
26. In the first part, real - time convolution algorithm is analyzed in linear system.
27. The phenomenon of stochastic resonance of an over-damped second-order linear system subject to dichotomic noise ( DN ) is investigated.
28. Based on maximum kurtosis criteria, a new blind identification and equalization algorithm is designed for linear system.
29. The traffic volume is affected by many factors and is a typical in linear system.
30. From the point view of applications, the matrix element of the involved linear system of equations is an explicit expression without numerical integration.
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