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控制理论研究中的几个挑战性的问题 被引量:6

Some Challenging Problems in Research on Control Theory
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摘要 论述了控制理论研究中的几个挑战性的问题,认为控制理论属于技术性的学科。在工程应用中控制理论从建模、控制、优化三个方面碰到了一些挑战性命题,对此提出了一些看法。提出了工业噪声的建模问题。通过工业控制实践工作中所遇到的问题,指出了采用智能的方法来处理控制系统的性能与鲁棒性之间的矛盾。提出藉助于专家系统自适应地调整可行域来解决大规模工程命题,指明了控制理论研究与应用之间良性互动的循环发展过程。 Some challenging problems in control theory research is discussed. The auctorial opinion of the challenge proposition is put forward which is fallen across from the three aspects: modeling, control, and optimization in the engineering application of the control theory. The modeling problem of industrial noise is presented. And the intelligent method is pointed out to deal with the antinomy of the performance and robustness of the control systems based on the problem in the industry control practice work. It brings forward that it recur to the expert system to adjust the feasibility area adaptive to solve large scale engineering problem.And it points out the good mutual enhancement process between the control theory and its application.
作者 钱积新
出处 《控制工程》 CSCD 2005年第3期193-195,共3页 Control Engineering of China
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参考文献7

  • 1方崇智 萧德云.过程辨识[M].清华大学出版社,1989..
  • 2Ljung L, Yuan Z D. Asynptotic properties of black-box identification of transfer functions[J]. IEEE Transactions on Automatic Control, 1985,Ac-30(6): 514-530.
  • 3Zhu Y C. Multivariable process identification for MPC: the asymptotic method and its applications[J]. J Proc Cont, 1998,8(2): 101-115.
  • 4Qin S J, Badgwell T A. A survey of industrial model predictive control technology[J]. Control Engineering Practice, 2003,11:847-858.
  • 5Maciejowski J M. Predictive control with constraints[M].London: Pearson Education Limited, 2002.
  • 6Biegler L T, Nocedal J, Schmids C. Reduced hessian method for large-scale constrained optimization, 1995,5(2):314-347.
  • 7柯晶,钱积新.非线性离散时间系统的自适应函数观测器[J].电路与系统学报,2003,8(3):1-5. 被引量:2

二级参考文献17

  • 1Boutayeb M, Aubry D. A strong tracking extended Kalman observer for nonlinear discrete-time systems[J]. IEEE Trans. Automat. Contr.,1999, 44 (8): 1550 -1556.
  • 2Boutayeb M, Darouach M. A reduced-order observer for non-linear discrete-time systems[J]. Syst. Contr. Lett., 2000, 39(2): 141-151.
  • 3Azemi A, Yaz E E. LMI-based reduced-order observers for some discrete nonlinear systems[A], Proc. 36th IEEE Conf. Decision Control[C].San Diego, USA, 1997: 4808-4809.
  • 4Aubry D, Boutayeb M, Darouach M. A reduced-order extended Kalman observer for nonlinear discrete-time systems[A]. Proc. Symp.Nonlinear Control Systems [C]. Enschede, Netherlands, 1998: 263-268.
  • 5Zhou D H, Frank P M. Strong tracking filtering of nonlinear time-varying stochastic systems with coloured noise: application to parameter estimation and empirical robustness analysis[J]. Int. J. Contr., 1996, 65(2): 295-307.
  • 6Gupta R D, Fairman F W, Hinamoto T. A direct procedure for the design of single functional observers [J]. IEEE Trans. Circuits Systems,1981, 28(4): 294-300.
  • 7Fairman F W, Gupta R D. Design of multifunctional reduced order observers [J]. Int. J. Systems Sci., 1980, 11 (9): 1083-1094.
  • 8Chen C T. Linear system theory and design[M]. New York: Holt, Rinehart and Winston, 1984, 369-371.
  • 9Song Y K, Grizzle J W. The extended Kalman filter as a local asymptotic observer for nonlinear discrete-time systems[J]. J. Math. Syst. Estim.Contr., 1995, 5(1): 59-78.
  • 10Deyst J J, Price C F. Conditions for asymptotic stability of the discrete minimum-variance linear estimator[J]. IEEE Trans. Automat. Contr.,1968, 13(6): 702-705.

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