Abstract
The time cost in integrated circuit simulation is an important consideration in the design. This paper investigates the model order reduction of interconnect circuit networks to facilitate numerical analysis. A novel fast and accurate time reduced order model is proposed to simplify the interconnection network structure analysis and perform a fast simulation. The novelty of this study is the use of the power function sum to extend the approximate function to replace the original system’s state function. We give several simulations to verify the effectiveness of the algorithm. The innovation of this model is due to its use of the approximate function of power series expansion to replace the state function of the original system.
Highlights
IC industry is a crucial link in the development of the information industry, and the development of IC is inseparable from electronic design automation.As the integrated circuit industry evolves, the circuit scale is increasing exponentially [1].in the simulation of the circuit, the modeling of the extraction will be very complex
The model order reduction of large circuits and complex systems has been a topic of major interest
Regarding time-domain model reduction, we propose a new type of order reduction model by using Taylor series approximation theory [22]
Summary
IC (integrated circuit) industry is a crucial link in the development of the information industry, and the development of IC is inseparable from electronic design automation. Regarding time-domain model reduction, we propose a new type of order reduction model by using Taylor series approximation theory [22] With this method, we transform the solution of complex ordinary differential equations of a large interconnection network into the solution of linear equations. We take the partial derivative of each of the coefficients and let each of the partial derivatives be equal to zero to minimize the squared error Both theoretical derivation and simulation results prove that the reduced order model proposed in this paper converges to a certain error limit and can transform the process of solving large ordinary differential equations into the process of solving linear equations. In the time-domain model order reduction, the proposed method is fairly effective in establishing a balance between time-saving and reduced order accuracy
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