Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
State Space Analysis is one of the most developed analysis methods for Petri Nets. The main problem of state space analysis is the size of the state spaces. Several ways to reduce ...
Abstract— Many asynchronous designs are naturally specified and implemented hierarchically as an interconnection of separate asynchronous modules that operate concurrently and c...
: Retrenchment is introduced as a liberalisation of refinement intended to address some of the shortcomings of refinement as sole means of progressing from simple abstract models t...
This paper presents a methodology for production-time testing of (uncustomized) segmented channel eld programmable gate arrays (FPGAs) such as those manufactured by Actel [1]. Th...