Design a Fault Tolerant Controller with SARSA method based on Reinforcement Learning

Mohammad Hasan Olyaei Torqabeh¹ Ali Olyaei Torqabeh² Amin Noori³

Abstract :
This paper discusses the design of a fault-tolerant controller based on Reinforcement Learning. In each system, the probability of a fault is high. Usually, in sensitive systems, faults can have bad consequences, so today, scientists have designed different controllers to control the fault. In this paper, first we talk about reinforcement learning and then refer to it in the design of a fault-tolerant controller. After choosing the state, the action and the reward function, the controller is designed and the results indicate that the designed controller has caused the system to achieve the desired value and control the system fault.
Keywords : fault-tolerant control, reinforcement learning, state, action, reward

زبان مقاله : انگلیسی
محور مقاله : مهندسی برق
محل انتشار : دومین کنفرانس بین المللی افق های نو در علوم مهندسی - 18 مرداد ماه 1397 | استانبول - ترکیه | دانشگاه یلدیز تکنیک
آدرس وب سایت کنفرانس : eng2018.ir
ارسال کننده : محمد حسن علیائی طرقبه
کد IOI مقاله : XAHK-CFHDA
لینک مستقیم مقاله : https://isnac.ir/XAHK-CFHDA