Projection based MIMO control performance monitoring: I—covariance monitoring in state space
暂无分享,去创建一个
[1] L. Silverman. Inversion of multivariable linear systems , 1969 .
[2] K. Åström. Introduction to Stochastic Control Theory , 1970 .
[3] Richard O. Duda,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[4] P. Falb,et al. Invariants and Canonical Forms under Dynamic Compensation , 1976 .
[5] Warren R. DeVries,et al. Evaluation of process control effectiveness and diagnosis of variation in paper basis weight via multivariate time-series analysis , 1978 .
[6] Graham C. Goodwin,et al. The role of the interactor matrix in multivariable stochastic adaptive control , 1984, Autom..
[7] Graham C. Goodwin,et al. Adaptive filtering prediction and control , 1984 .
[8] John F. MacGregor,et al. Design of multivariable linear‐quadratic controllers using transfer functions , 1987 .
[9] Andrew P. Paplinski,et al. An algorithm for the calculation of a nilpotent interactor matrix for linear multivariable systems , 1987 .
[10] Sirish L. Shah,et al. Multivariable adaptive control without a prior knowledge of the delay matrix , 1987 .
[11] T. Harris. Assessment of Control Loop Performance , 1989 .
[12] Ben Weinstein. A Sequential Approach to the Evaluation and Optimization of Control System Performance , 1992, 1992 American Control Conference.
[13] T. Harris,et al. Performance assessment measures for univariate feedback control , 1992 .
[14] M. Kinnaert,et al. Explicit solution to the singular LQ regulation problem , 1992 .
[15] Katsuhisa Furuta,et al. Closed-form solutions to discrete-time LQ optimal control and disturbance attenuation , 1993 .
[16] Lorenz T. Biegler,et al. Constraint handing and stability properties of model‐predictive control , 1994 .
[17] Brian Surgenor,et al. Plant-Wide Feedback Control Performance Assessment using an Expert System Framework , 1995 .
[18] T. J. Harris,et al. Performance assessment of multivariable feedback controllers , 1996, Autom..
[19] Sirish L. Shah,et al. The unitary interactor matrix and its estimation using closed-loop data , 1997 .
[20] Biao. Huang,et al. Multivariate statistical methods for control loop performance assessment , 1997 .
[21] Sirish L. Shah,et al. Good, bad or optimal? Performance assessment of multivariable processes , 1997, Autom..
[22] S. Joe Qin,et al. Control performance monitoring — a review and assessment , 1998 .
[23] S. Joe Qin,et al. Subspace approach to multidimensional fault identification and reconstruction , 1998 .
[24] Nina F. Thornhill,et al. Refinery-wide control loop performance assessment , 1999 .
[25] Sirish L. Shah,et al. Performance Assessment of Control Loops: Theory and Applications , 1999 .
[26] Weihua Li,et al. Detection, identification, and reconstruction of faulty sensors with maximized sensitivity , 1999 .
[27] C. T. Seppala,et al. A review of performance monitoring and assessment techniques for univariate and multivariate control systems , 1999 .
[28] Leo H. Chiang,et al. Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis , 2000 .
[29] S. Qin,et al. Detection and identification of faulty sensors in dynamic processes , 2001 .
[30] Jon Rigelsford,et al. Fault Detection and Diagnosis in Industrial Systems Advanced Textbooks in Control and Signal Processing , 2001 .
[31] Seongkyu Yoon,et al. Fault diagnosis with multivariate statistical models part I: using steady state fault signatures , 2001 .