Model order reduction of continuous time systems using pole clustering and Chebyshev polynomials

Author(s):  
Vinay Pratap Singh ◽  
Prateek Chaubey ◽  
D. Chandra
Sadhana ◽  
2020 ◽  
Vol 45 (1) ◽  
Author(s):  
Sharad Kumar Tiwari ◽  
Piyush Samant ◽  
Madhusudan Shinhmar ◽  
Gagandeep Kaur

2018 ◽  
Vol 36 (4) ◽  
pp. 1105-1131 ◽  
Author(s):  
Salim Ibrir

AbstractNumerical algorithms are developed for model order reduction of discrete-time systems using both optimal projection and $H_2$-norm minimization. The state-space matrices of the reduced-order system are obtained via the solution of a convex optimization problem. Subsequently, the results are exploited for the design of non-linear reduced-order systems verifying the input-to-state stability property. Proofs of stability and error approximation bounds are provided along with numerical simulations to highlight the strengths and the validity of the theoretical results.


2021 ◽  
Vol 30 (4) ◽  
pp. 729-738
Author(s):  
S. Batool ◽  
M. Imran ◽  
M. Imran ◽  
E. Elahi ◽  
A. Maqbool ◽  
...  

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