1. Multivariable system robust adaptive decoupling control.

2. Asynchronous machine is a nonlinear, multivariable and coupled system.

3. A multivariable analysis of outcome predictors was performed.

4. This paper introduces modular multivariable dynamic matrix controller.

5. In this paper the multivariable model of asynchronous machine is analyzed and its three main properties are defined, in which the coupling effect of rotational emf is clarified especially.

6. Traditional multivariable analysis method mainly includes Principal component analysis method , Factor analysis method that we usually talk of .

7. This paper designed a multivariable load Optical Preview Control (OPC) system for a thermal power unit, and discussed the effect of preview step number on control performance of the load OPC system.

8. The modular multivariable dynamic matrix controller (MMDMC) exploited by author and its application is introduced.

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9. This paper is to study the technique of multivariable system modeling.

10. This peper discusses the parameters' auto-tuning of the multivariable control system with PID feedback controllers and prosesan algorithm for the correcting factors of the multivariable PID control.

11. After multivariable analysis, cigarette smoking was found being the predominant cause for chronic respiratory diseases.

12. For a linear time -invariant multivariable system, there will be some degrees of design freedom in pole assignment by output feedback.

13. Inverted pendulum system is multivariable, nonlinear, strong - coupling and instability naturally.

14. The multivariable fuzzy time series Heurisistic mode is the easiest method follow.

15. Multivariable analysis comparing all cause mortality risk reduction associated with pharmacologic agents in patients with and without DM.

16. In a multivariable analysis, independent predictors of coronary ischemic events included influenza vaccination, recent acute coronary syndrome, and female gender.

17. This paper studies the stability of the multivariable all coefficient adaptive control system , mainly studies the stability problem of the multivariable golden section feedback control system.

18. According to multivariable frequency design theory, this paper studies the coupling between a guided bombs yawing and rolling channels by relative gain.

19. A typical multivariable nonlinear system ~ CSTR model is simulated by applying multivariable DMC with Simulink.

20. The Laplacian in the columnar and spherical coordinates is deduced by using the derivative principle of the multivariable functions.

21. By extending the all-coefficient adaptive control from single variable control to multivariable control, the decoupling control results are achieved.

22. A new delay predictive solution and the parameters recursive computation method are proposed for the multivariable continuous-time generalized predictive control(MDCGPC).

23. In this paper, the concept of "effective reservation of information" for dimension reduction of process dynamic trend has been proposed for multivariable analysis.

24. A kind of fuzzy-neuro network (FNN) adaptive control law was proposed for a class of nonlinear multivariable system that include unknown functions and external disturbances.

25. In this paper, the authors give two propositions to find the conditional extremes of multivariable functions by using simple forms of Cauchy inequality.

26. At present, Single variable control has been already difficult to meet demands of actual production, so has launched the research on multivariable control extensively.

27. A kind of HMRAC scheme is presented. It takes states from model for multivariable system including nonlinear disturbance.

28. The input transform and state feedback are used for multivariable control system, and the integral servo tracking controller is designed for the decoupled systeins.

29. For the interacted system, two methods are given in order to judge the coupling degree of the multivariable system, such as relative gain method and Inverse Nyquist Array method.

30. The internal model of the permanent magnet synchronous motor (PMSM) is a high order complicate system with parameter variable, nonlinear, strong coupling and multivariable.