References
- A. K. Sinha, and J. Pal, “Simulation based reduced order modelling using a clustering technique,” Comput. Electr. Eng, Vol. 16, pp. 159–169, May 1990. doi: 10.1016/0045-7906(90)90020-G
- A. Sikander, and R. Prasad, “A new technique for reduced-order modelling of linear time-invariant system,” IETE. J. Res., Vol. 63, pp. 316–324, 19 Jan. 2017. doi: 10.1080/03772063.2016.1272436
- A. Narwal, and R. Prasad, “Optimization of LTI systems using modified clustering algorithm,” IETE Tech. Rev., Vol. 34, pp. 201–213, 15 Apr. 2016. doi: 10.1080/02564602.2016.1165152
- A. Sikander, and R. Prasad, “A novel order reduction method using Cuckoo Search algorithm,” IETE. J. Res., Vol. 61, pp. 83–90, 17 Feb. 2015. doi: 10.1080/03772063.2015.1009396
- S. K. Tiwari, and G. Kaur, “Model reduction by new clustering method and frequency response matching”, journal of control,” Autom. Electr. Syst, Vol. 28, no. 1, pp. 78–85, Feb. 2017. doi: 10.1007/s40313-016-0282-y
- G. J. Lastman, and N. K. Sinha, “An error analysis of the aggregation method, with application to the selection of reduced-order models,” Int. J. Syst. Sci., Vol. 16, no. 12, pp. 1497–1504, 10 May 2007. doi: 10.1080/00207728508926769
- H. Satyavada, and S. Baldi, “Monitoring energy efficiency of condensing boilers via hybrid first-principle modelling and estimation energy,” J. Energy, Vol. 142, pp. 121–129, 1 Jan. 2018. doi: 10.1016/j.energy.2017.09.124
- H. Satyavada, and S. Baldi, “A novel modelling approach for condensing boilers based on hybrid dynamical systems machines,” Dir. Open Access J. Mach, Vol. 4, no. 2, pp. 10, Mar. 2016.
- C. Kumar, S. K. Jha, and P. Gaur. Investigations of Model Order Reduction Techniques for Large Scale Linear Systems”, Power Electronics (IICPE), 2012 IEEE conference.
- T. C. Hsia, “A new technique control of servo systems,” IEEE Trans. On Indust. Elec., Vol. 36, no. 1, pp. 1–7, Feb. 1989. doi: 10.1109/41.20338
- Y. Krishnamurthy, and Y. Seshdri, “Model reduction using routh stability criterion,” IEEE Trans., Automat Contrl, Vol. 23, pp. 729–730, 1978. doi: 10.1109/TAC.1978.1101805
- E. Malekshahi, and S.-M.-A. Mohammadi, “The model order reduction using LS, RLS and MV estimation methods,” Int. J. Control. Autom. Syst., Vol. 12, pp. 572–581, 2014. doi: 10.1007/s12555-013-0250-2
- S. Lavania, and D. Nagaria, “Evolutionary approach for model order reduction,” Int. J. Perspect. Sci. (Elsevier), Vol. 3, pp. 361–363, April 2016.
- A. Sikander, and R. Prasad, “Soft Computing approach for model order reduction of linear time invariant systems,” Circuits Syst. Signal Process., Vol. 34, no. 11, pp. 3471–3487, Nov. 2015. doi: 10.1007/s00034-015-0018-4
- M. Yuvaraju, and N. Devarajan, “Reduction of higher-order linear time-invariant SISO continuous systems to its lower-order model employing an improved water swirl algorithm,” J. Test. Eval., Vol. 44, no. 4, pp. 1640–1649, 2016. doi: 10.1520/JTE20140241
- S. N. Deepa, and G. Sugumaran, “Design of PID controller for higher order continuous systems using MPSO based model formulation technique,” Int. J. Electr. Inf. Eng., Vol. 5, no. 8, pp. 455–460, 2011.
- S. N. Deepa, and G. Sugumaran, “MPSO based model order formulation technique for SISO continuous systems,” Int. J. Math. Comput. Phys. Electr. Comput. Eng., Vol. 5, no. 3, pp. 288–293, 2011.
- S. Panda, J. S. Yadav, N. P. Padidar, and C. Ardil, “Evolutionary techniques for model order reduction of large scale linear systems,” Int. J. Appl. Sci. Eng. Technol, Vol. 5, pp. 22–28, Jan. 2009.
- C. B. Vishwakarma, and R. Prasad, “Clustering method for reducing order of linear system using pade approximation,” IETE J. Res, Vol. 54, no. 5, pp. 326–330, Sep. 2008. doi: 10.4103/0377-2063.48531
- M. Yuvaraju, and N. Devarajan, “An Improved water swirl algorithm for lower order model formulation of Multivariable linear time invariant continuous system,” Life. Sci. J., Vol. 10, no. 2, pp. 1–8, 2013.
- R. Salim, and M. Bettayeb, “H2 and H∞ optimal model reduction using genetic algorithms,” J. Frankl. Inst., Vol. 348, no. 7, pp. 1177–1191, 2011. doi: 10.1016/j.jfranklin.2009.10.016
- R. C. Eberhart, and Y. Shi, “Particle swarm optimization: Developments applications and resources,” in Proceedings Congress on evolutionary computation IEEE service, Korea, 2001.
- S. Mukherjee, Satakshi, and R. C. Mittal, “Model order reduction using response-matching technique,” J. Frankl. Inst, Vol. 342, pp. 503–519, 2005. doi: 10.1016/j.jfranklin.2005.01.008
- G. Parmar, S. Mukherjee, and R. Prasad, “System reduction using factor division algorithm and Eigen spectrum analysis,” Appl. Math. Model, Vol. 31, no. 11, pp. 2542–2552, Nov. 2007. doi: 10.1016/j.apm.2006.10.004
- V. Krishnamurthy, and V. Seshadri, “A simple and direct method of reducing the order of linear time invariant systems by routh approximation in the frequency domain,” IEEE T. Automat. Contr. AC—, Vol. 21, no. 5, pp. 797–799, 1976. doi: 10.1109/TAC.1976.1101333
- A. Pati, A. Kumar, and D. Chandra, “Suboptimal control using model order reduction,” Chinese J. Eng, Vol. 2014, 1–5, 2014. Article ID797581. doi: 10.1155/2014/797581
- Y. Shamash, “Stable reduced order models using pade type approximation,” IEEE T. Automat. Contr. AC, Vol. 19, pp. 615–616, 1974. doi: 10.1109/TAC.1974.1100661
- P. Gomathi, and T. Manigandan, “Particle swarm optimisation based proportional integral and derivative (PID) controller design for linear discrete time system using reduced order model,” Acad. J., Vol. 8, no. 25, pp. 1171–1179, 4 July 2013.