Fuzzy Q-learning Control for Temperature Systems. In this paper, the reinforcement learning algorithm applied to temperature control of the internet of things (IoT), which aims to develop a multi-purpose intelligent micro-power control switch to achieve advanced temperature control research.
This paper is based on the fuzzy Q-learning PID control algorithm based on reinforcement learning, with LinkIt Smart 7688 Duo platform. The error value between ...
This paper uses the low-cost LinkIt Smart 7688 Duo component board as the controller to design a fuzzy Q-learning PID control method based on reinforcement ...
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Data analysis in the study shows a negative relationship between temperature and humidity. However, the research does not incorporate a control system, ...
Fuzzy Q-learning approach uses fuzzy system for representing the state-action value instead of Q-learning in which a look-up table (Q matrix) is used.
Fuzzy Q-learning PID Control for. Temperature Systems by Mariana Syamsudin. Submission date: 14-Sep-2021 07:48PM (UTC+0800). Submission ID: 1646878461.
This paper proposes the design of a fuzzy controller by Ant Colony Optimization (ACO) incorporated with Fuzzy-Q Learning, called ACO-FQ, with reinforcements ...
In this paper, an adaptive fuzzy temperature control strategy is proposed for thermoelectric cooling systems. Our strategy is able to effectively adjust the ...
The adaptive learning control system based on fuzzy Q-learning is successfully applied to the control of a highly nonlinear pH-neutralization process. This ...
7 days ago · This paper aims to address the energy management design for various performance metrics, such as power tracking and system accuracy, fuel cell ...