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This paper presents an analytic hierarchy process based approach for approximation of stable high-order systems using teacher–learner-based-optimization (TLBO) algorithm. In this method, the stable approximant is derived by minimizing the errors of time moments and of Markov parameters of system and its approximant. Being free from algorithm-specific parameters, the TLBO algorithm is used for minimizing...
This paper presents a method for the reduction of the order of interval system using Routh approximants. A new method is proposed to calculate time moments that is computationally simpler and easier, does not require to calculate time moments by expansion of denominator of system, γ-δ parameters or γ parameters. The generated low-order models always possess stability and initial time moments of the...
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