A new method is presented for simulation of nonlinear transmission line circuits based on proper orthogonal decomposition reduction techniques coupled with an efficient interpolatory algorithm. Evaluation of the nonlinear function and corresponding Jacobian is performed in the reduced domain. A key criterion is developed for a priori determination of the dimension of the interpolation space leading to a substantial reduction in the computational cost. The proposed algorithm is applicable to general nonlinear circuits and does not impose any constraints on the topology of the pertinent circuit or type of the nonlinear components
Model order reduction is a mathematical technique to transform nonlinear dynamical models into small...
Model order reduction is a mathematical technique to transform nonlinear dynamical models into small...
A parameterized model order reduction technique for nonlinear system is presented in this paper, whi...
A new method is introduced for simulation of nonlinear transmission line circuits based on model-ord...
A new method is introduced for simulation of nonlinear transmission lines based on model-order reduc...
Purpose– The paper is concerned with interpolatory proper orthogonal decomposition (IPOD) methods fo...
Purpose– The paper is concerned with interpolatory proper orthogonal decomposition (IPOD) methods fo...
Purpose– The paper is concerned with interpolatory proper orthogonal decomposition (IPOD) methods fo...
Purpose– The paper is concerned with interpolatory proper orthogonal decomposition (IPOD) methods fo...
This paper presents a new approach for modeling and simulation of Nonlinear Transmission Lines (NLTL...
A new algorithm based on Krylov subspace methods is proposed for efficient simulation of large inter...
Model order reduction is a mathematical technique to transform nonlinear dynamical models into small...
Model order reduction is a mathematical technique to transform nonlinear dynamical models into small...
Model order reduction is a mathematical technique to transform nonlinear dynamical models into small...
Model order reduction is a mathematical technique to transform nonlinear dynamical models into small...
Model order reduction is a mathematical technique to transform nonlinear dynamical models into small...
Model order reduction is a mathematical technique to transform nonlinear dynamical models into small...
A parameterized model order reduction technique for nonlinear system is presented in this paper, whi...
A new method is introduced for simulation of nonlinear transmission line circuits based on model-ord...
A new method is introduced for simulation of nonlinear transmission lines based on model-order reduc...
Purpose– The paper is concerned with interpolatory proper orthogonal decomposition (IPOD) methods fo...
Purpose– The paper is concerned with interpolatory proper orthogonal decomposition (IPOD) methods fo...
Purpose– The paper is concerned with interpolatory proper orthogonal decomposition (IPOD) methods fo...
Purpose– The paper is concerned with interpolatory proper orthogonal decomposition (IPOD) methods fo...
This paper presents a new approach for modeling and simulation of Nonlinear Transmission Lines (NLTL...
A new algorithm based on Krylov subspace methods is proposed for efficient simulation of large inter...
Model order reduction is a mathematical technique to transform nonlinear dynamical models into small...
Model order reduction is a mathematical technique to transform nonlinear dynamical models into small...
Model order reduction is a mathematical technique to transform nonlinear dynamical models into small...
Model order reduction is a mathematical technique to transform nonlinear dynamical models into small...
Model order reduction is a mathematical technique to transform nonlinear dynamical models into small...
Model order reduction is a mathematical technique to transform nonlinear dynamical models into small...
A parameterized model order reduction technique for nonlinear system is presented in this paper, whi...