Modelling of mixed physical-domain system

The next generation of System-on-Chip (SoC) design is emerging into new dimension with embedded mixed-signal (i.e digital and analogue) and multiple natures (i.e electrical and non-electrical) are being packed onto very single chip. It is becoming more ubiquitous and can be seen with diversely in many applications nowadays such as engineering, medicine, biology etc. Obviously, large portion in today's SoC predominantly are consists of analogue parts. Although various tools namely as Analogue-Mixed-Signal (AMS) has been around for almost a decade, the full descriptive modelling language for multi-domain to support more accurate physical modelling such as partial differential equation is still not present. Thus, in this research work, it will be tailored towards this issue. The ultimate aim for this research is to create a system-level simulator that has the capability to describe and simulate the more accurate physical model based on partial differential equation. The effort has been set to provide a new extension for SystemC-A simulator to enable the task of modelling and simulation of multi-physical system which includes the partial differential equation models. As an improvement to the existing approach which describes the distributed system with the lumped-model, the MEMS variable capacitive fingers is proposed to be modelled in distributed form through introduction of partial differential equation. The MEMS variable capacitor design presented in this thesis is focuses for micro-energy harvester application. Furthermore, the autonomous performance optimisation is also proposed to be integrated in the SystemC-A environment. Hence, the combination of both techniques will provides an holistic approach for new system-level modelling and performance optimisation of mixed-signal and mixed-domain design