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An approach to the simulation of pulse width modulation (PWM) direct current–direct current (DC‐DC) converters operated under continuous current mode (CCM) and discontinuous current mode (DCM) is presented. It is based on the use of the Laplace transform and of dedicated models for controlled switches and diodes. Time‐domain waveforms are obtained from network functions representing the circuit under analysis without assuming small‐signal approximation. A program implementing the proposed approach has been also developed by exploiting symbolic analysis techniques. Because of its symbolic nature, it can profitably support numerical simulators in design optimization phase. Its characteristics and potentialities are shown through examples and experimental tests. [ABSTRACT FROM AUTHOR]

Accurate parameter identification is a patently crucial aspect of system modeling as far as analysis, design, control, maintenance, and fault diagnosis are concerned. In this respect, an essential prerequisite is to establish a priori the solvability degree of the parameter identification problem, which is accomplished by means of testability analysis. The aim of this work is to present a program suitable for fully automated testability analysis of any physical system that can be modeled by an equivalent analog linear time‐invariant electrical circuit. Such a program has been obtained by combining the potentialities of symbolic techniques with the disclosures of a recently proposed theoretical approach to the testability measure concept, able to circumvent the main shortcomings of early methods. An efficient program, characterized by better performances with respect to previous software packages, has been thereby developed, which is herein described from both an algorithmic and a functional viewpoint. It can be advantageously used by the workers interested in system modeling as a guide to devising or refining their own parameter identification strategies. Thoroughly discussed examples of application are also given, which include a complete testability analysis and a novel parameter identification algorithm for electromagnetic harvesters. [ABSTRACT FROM AUTHOR]