A New Hybrid Method Approach for Linear System Approximation

[1]  Y. Shih,et al.  Simplification of z -transfer functions by continued fractions † , 1973 .

[2]  M. Lal,et al.  Simplification of large system dynamics using a moment evaluation algorithm , 1974 .

[3]  Y. Shamash Stable reduced-order models using Padé-type approximations , 1974 .

[4]  S. C. Chuang Homographic transformation for the simplification of continuous-time transfer functions by Padé approximation , 1975 .

[5]  B. Friedland,et al.  Routh approximations for reducing order of linear, time-invariant systems , 1975 .

[6]  Petar V. Kokotovic,et al.  Singular perturbations and order reduction in control theory - An overview , 1975, at - Automatisierungstechnik.

[7]  J. Hickin,et al.  Erratum: New method of obtaining reduced-order models for linear multivariable systems , 1976 .

[8]  V. Krishnamurthy,et al.  Model reduction using the Routh stability criterion , 1978 .

[9]  K. Han,et al.  Reduction of Transfer Functions by the Stability-Equation Method , 1979 .

[10]  J. Pal Stable reduced-order Padé approximants using the Routh-Hurwitz array , 1979 .

[11]  K. Han,et al.  Model reduction using the stability-equation method and the Padé approximation method , 1980 .

[12]  B. Moore Principal component analysis in linear systems: Controllability, observability, and model reduction , 1981 .

[13]  Y. Smamash Truncation method of reduction: a viable alternative , 1981 .

[14]  B. Wan Linear model reduction using Mihailov criterion and Padé approximation technique , 1981 .

[15]  P. Gutman,et al.  Contributions to the model reduction problem , 1982 .

[16]  K. Fernando,et al.  Singular perturbational model reduction of balanced systems , 1982 .

[17]  C. Therapos Balanced minimal realisation of SISO systems , 1983 .

[18]  T. N. Lucas Biased model reduction by factor division , 1984 .

[19]  R. Prasad Pade type model order reduction for multivariable systems using routh approximation , 2000 .

[20]  Z. Bai Krylov subspace techniques for reduced-order modeling of large-scale dynamical systems , 2002 .

[21]  D. Chandra,et al.  Improved Routh-Pade/spl acute/ approximants: a computer-aided approach , 2004, IEEE Transactions on Automatic Control.

[22]  Athanasios C. Antoulas,et al.  Approximation of Large-Scale Dynamical Systems , 2005, Advances in Design and Control.

[23]  R. Prasad,et al.  Reduction of Linear Dynamic Systems using Routh Hurwitz Array and Factor Division Method , 2006 .

[24]  C. Vishwakarma,et al.  Clustering Method for Reducing Order of Linear System using Pade Approximation , 2008 .

[25]  Honglong Chang,et al.  Parametric model order reduction for squeeze film damping in perforated microstructures , 2009 .

[26]  Hossam Seddik Abbas,et al.  Frequency-Weighted Discrete-Time LPV Model Reduction Using Structurally Balanced Truncation , 2011, IEEE Transactions on Control Systems Technology.

[27]  S. K. Nagar,et al.  A New Algorithm for Model Order Reduction of Interval Systems , 2013 .

[28]  Chongxin Huang,et al.  A modified balanced truncation method and its application to model reduction of power system , 2013, 2013 IEEE Power & Energy Society General Meeting.

[29]  Honglong Chang,et al.  Compact thermoelectric coupled models of micromachined thermal sensors using trajectory piecewise-linear model order reduction , 2014 .

[30]  C. Vishwakarma Modified Hankel Matrix Approach for Model Order Reduction in Time Domain , 2014 .

[31]  R. Prasad,et al.  Linear time-invariant system reduction using a mixed methods approach , 2015 .

[32]  C. Vishwakarma,et al.  Biased reduction method by combining improved modified pole clustering and improved Pade approximations , 2016 .

[33]  R. Prasad,et al.  New technique for system simplification using Cuckoo search and ESA , 2017 .

[34]  Jianhui Wang,et al.  Nonlinear Model Reduction in Power Systems by Balancing of Empirical Controllability and Observability Covariances , 2016, IEEE Transactions on Power Systems.

[35]  A. Poppe,et al.  Two-phase Taylor-flow reduced order thermal modeling , 2017 .

[36]  R. Prasad,et al.  A New Technique For Reduced-Order Modelling of Linear Time-Invariant System , 2017 .

[37]  A. Prajapati,et al.  Order Reduction of Linear Dynamic Systems with an Improved Routh Stability Method , 2018, 2018 International Conference on Control, Power, Communication and Computing Technologies (ICCPCCT).

[38]  R. Prasad,et al.  Failure of Padé Approximation and Time Moment MatchingTechniquesin Reduced Order Modelling , 2018, 2018 3rd International Conference for Convergence in Technology (I2CT).

[39]  R. Prasad,et al.  Model Order Reduction by Using the Balanced Truncation and Factor Division Methods , 2018, IETE Journal of Research.

[40]  R. Prasad,et al.  Reduced Order Modelling of Linear Time Invariant Systems Using the Factor Division Method to Allow Retention of Dominant Modes , 2018, IETE Technical Review.

[41]  R. Prasad,et al.  Contribution of Time Moments and Markov Parameters in Reduced Order Modeling , 2018, 2018 3rd International Conference for Convergence in Technology (I2CT).

[42]  Gagan Singh,et al.  Substructure preservation based approach for discrete time system approximation , 2019 .

[43]  Rajendra Prasad,et al.  Reduced order modelling based control of two wheeled mobile robot , 2019, J. Intell. Manuf..

[44]  R. Prasad,et al.  Order Reduction of Linear Dynamic Systems by Improved Routh Approximation Method , 2019 .