This paper develops an adaptive control method for controlling frequency and voltage of an islanded mini/micro grid (M/µG) using reinforcement learning method. Reinforcement learning (RL) is one of the branches of the machine learning, which is the main solution method of Markov decision process (MDPs). Among the several solution methods of RL, the Q-learning method is used for solving RL in th...

Nowadays, Electrical Discharge Machining (EDM) has become one of the most extensively used non-traditional material removal process. Its unique feature of using thermal energy to machine hard to machine electrically conductive materials is its distinctive advantage in the manufacturing of moulds, dies and aerospace components. Howevere, EDM is a costly process and hence proper selection of its ...

selecting an appropriate manufacturing machine is a very important and complex problem for firms, which usually have to deal with both qualitative and quantitative criteria. taking into account the differences among machines in terms of cost, speed, quality and after sale services, type and number of machines are important parameters to consider. therefore, the goal of this paper is to propose ...

This paper presents the improvement of transient stability of a multi-machine power system with a STATCOM. Transient stability improvement is essential from the view point of maintaining system security that is the incidence of a fault should not lead to tripping of generating unit due to loss of synchronism. Static synchronous compensator is widely used in power system to control power by inje...

The conventional patch-clamp technique requires well-trained experimenter. Few commercial automated patch-clamp systems, designed for drug development, are better suited for large-scale research then for standard electrophysiological experiments. Here we describe a state machine for automated recognition of recording states of the patch-clamp experiment. The principle of the state machine is ba...