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Model order reduction is a technique for reducing the computational complexity of mathematical models in numerical simulations. In recent years, model reduction has become an omnipresent tool in a variety of application regions and, consequently, a research emphasis for many mathematicians and engineers. In the present book mixed methods are employed for order reduction. The denominator polynomial of reduced model is obtained by using modified pole clustering, stability equation method and Routh method. The numerator is obtained by factor division method and Pade approximation. Five Mixed meth...
Model order reduction is a technique for reducing the computational complexity of mathematical models in numerical simulations. In recent years, model reduction has become an omnipresent tool in a variety of application regions and, consequently, a research emphasis for many mathematicians and engineers. In the present book mixed methods are employed for order reduction. The denominator polynomial of reduced model is obtained by using modified pole clustering, stability equation method and Routh method. The numerator is obtained by factor division method and Pade approximation. Five Mixed methods Pade approximation-Modified pole clustering, Factor division method, Stability equation method, Pade approximation, Routh method, Factor division method-Routh method and Pade approximation-Stability equation method have been used for the reduction of 8th order Higher order system to second order reduced models.
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