The gradient and the Newton iterative modelling methods for an operational amplifier circuit. (13th November 2019)

• Record Type: Journal Article
• Authors: Xu, Ling
• Is Part Of: International journal of modelling, identification and control. Volume 32:Number 3/4(2019)
• Page Start: 212
• Page End: 218
• Publication Date: 2019-11-13
• Subjects: parameter estimation -- iterative identification -- gradient optimisation -- Newton optimisation -- transfer function; Engineering -- Methodology -- Periodicals; Science -- Methodology -- Periodicals; 001.42
• Languages: English
• ISSNs: 1746-6172

Abstract

In order to provide a new method to identify the mathematical model of circuit systems, this paper studies modelling methods by combining the iterative strategy with the nonlinear optimisation. When we analyse a complicated circuit, we only need to find the relationship between the input and the output and do not need to concern the specific components, which can be solved by system identification. With this purpose, this paper develops the iterative modelling methods to construct the transfer function for an amplifier circuit system which can be described by the transfer function model of a first-order inertial system. For obtaining the transfer function model, the impulse response observed data are employed to design the objective function regarding to the time constant and the gain of the first-order inertial system. In light of the nonlinear characteristic of the system output, the gradient optimisation and the Newton optimisation are adopted to minimise the objective function. Finally, the simulation experiment is carried out to test the performance of the developed modelling methods.