Improving Quality of Experience Using Fuzzy Controller for Smart Homes

Ain, Qurat-ul; Iqbal, Sohail; Mukhtar, Hamid

doi:10.1109/access.2021.3096208

Cited by 13 publications

(8 citation statements)

References 33 publications

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“…Fuzzy controllers are considered by researchers to be the excellent choice for studying complex systems as opposed to ordinary linear controllers. 21 In order to achieve better control outcomes, Fuzzy control incorporates fuzzifying the precise values of the PID controller parameters, creating inference rules, and performing inverse defuzzification.…”

Section: Results Analysismentioning

confidence: 99%

Optimization control of the double‐capacity water tank‐level system using the deep deterministic policy gradient algorithm

Pei

2023

Engineering Reports

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Process control systems are subject to external factors such as changes in working conditions and perturbation interference, which can significantly affect the system's stability and overall performance. The application and promotion of intelligent control algorithms with self‐learning, self‐optimization, and self‐adaption characteristics have thus become a challenging yet meaningful research topic. In this article, we propose a novel approach that incorporates the deep deterministic policy gradient (DDPG) algorithm into the control of double‐capacity water tanklevel system. Specifically, we introduce a fully connected layer on the observer side of the critic network to enhance its expression capability and processing efficiency, allowing for the extraction of important features for water‐level control. Additionally, we optimize the node parameters of the neural network and use the RELU activation function to ensure the network's ability to continuously observe and learn from the external water tank environment while avoiding the issue of vanishing gradients. We enhance the system's feedback regulation ability by adding the PID controller output to the observer input based on the liquid level deviation and height. This integration with the DDPG control method effectively leverages the benefits of both, resulting in improved robustness and adaptability of the system. Experimental results show that our proposed model outperforms traditional control methods in terms of convergence, tracking, anti‐disturbance and robustness performances, highlighting its effectiveness in improving the stability and precision of double‐capacity water tank systems.

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Section: Results Analysismentioning

confidence: 99%

Optimization control of the double‐capacity water tank‐level system using the deep deterministic policy gradient algorithm

Pei

2023

Engineering Reports

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“…Their focus was on maximizing the monthly profit from energy sales. In turn, the study of [ 33 ] presented an algorithm that reduces the consumption of HVAC loads. The resulting energy surplus enables the adjustment of the illuminance set point in the range of 0–500 lux to maximize the user’s visual comfort.…”

Section: Demand-side Management (Dsm)mentioning

confidence: 99%

“…(b) Individual Comfort, which refers to the individual measurement of variables associated with user comfort, that is, temperature, humidity, lighting, noise, and CO

levels, among others. Each variable can be analyzed under a specific metric, as in [ 31 , 33 ]. (c) Global Comfort, which refers to a numerical index representing the sum of the individual values associated with each residential load enabled according to user preferences, as in [ 5 , 6 , 25 ].…”

Section: Demand-side Management (Dsm)mentioning

confidence: 99%

An Improved Optimization Function to Integrate the User’s Comfort Perception into a Smart Home Controller Based on Particle Swarm Optimization and Fuzzy Logic

Costa

Barroso

Souza

et al. 2023

Sensors

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Scheduling residential loads for financial savings and user comfort may be performed by smart home controllers (SHCs). For this purpose, the electricity utility’s tariff variation costs, the lowest tariff cost schedules, the user’s preferences, and the level of comfort that each load may add to the household user are examined. However, the user’s comfort modeling, found in the literature, does not take into account the user’s comfort perceptions, and only uses the user-defined preferences for load on-time when it is registered in the SHC. The user’s comfort perceptions are dynamic and fluctuating, while the comfort preferences are fixed. Therefore, this paper proposes the modeling of a comfort function that takes into account the user’s perceptions using fuzzy logic. The proposed function is integrated into an SHC that uses PSO for scheduling residential loads, and aims at economy and user comfort as multiple objectives. The analysis and validation of the proposed function includes different scenarios related to economy–comfort, load shifting, consideration of energy tariffs, user preferences, and user perceptions. The results show that it is more beneficial to use the proposed comfort function method only when the user requires SHC to prioritize comfort at the expense of financial savings. Otherwise, it is more beneficial to use a comfort function that only considers the user’s comfort preferences and not their perceptions.

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“…Without IoT-SHT, convenience of modern technology is missing, leading to a lower quality of life [ 20 ]. On the contrary, AI-based home automation algorithms help to improve indoor comfort by automating the thermal, airflow, and lighting at home, offering its inhabitants a more comfortable and productive living environment [ 21 ]. Home automation frees people from repetitive and mundane tasks and promotes self-actualization by allowing people to focus on what is more important to them, which refers but is not limited to self-fulfilment, seeking personal growth, and peak experience.…”

Section: Introductionmentioning

confidence: 99%

Usage and impact of the internet-of-things-based smart home technology: a quality-of-life perspective

Leong

Tajudeen

Yeong

2022

Univ Access Inf Soc

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The aim of this paper is to explore the usage and impact of the Internet-of-Things-based Smart Home Technology (IoT-SHT) in Malaysia. Face-to-face interviews were conducted with a total of eleven IoT-SHT users who had a minimum of 2-year usage experience. The semi-structured interview consisted of six questions which were compartmentalised into two sections. Common themes were identified through constant comparison of the inductive data in the coding process. The in-depth interview uncovered six uses of IoT-SHT. Mainly, it was used for real-time remote control, surveillance, sensing, home automation, entertainment, and family communication. It seems clear that the IoT-SHT helped people to save time, changed their lives, improved security, safety, environment condition, fun, convenience, and comfort within the home ground. It also facilitated better health tracking, family care, and energy conservation. Psychologically, the IoT-SHT also enhanced one’s image, offered better companionship, and improved the sense of belongingness, and closeness within the family. This study fills the research gap by providing insights into how the IoT-SHT was used, thereby benefiting users in Malaysia. With the arrival of industrial revolution 4.0, a comprehensive knowledge on the usage of IoT is pertinent. The findings of this study may also serve as a foundation for future research in IoT-SHT adoption. Practically, this study accelerates IoT-SHT diffusion by providing insights to vendors in designing better IoT products and services, based on the popular usages and impactful benefits. Supplementary Information The online version contains supplementary material available at 10.1007/s10209-022-00937-0.

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Improving Quality of Experience Using Fuzzy Controller for Smart Homes

Cited by 13 publications

References 33 publications

Optimization control of the double‐capacity water tank‐level system using the deep deterministic policy gradient algorithm

Optimization control of the double‐capacity water tank‐level system using the deep deterministic policy gradient algorithm

An Improved Optimization Function to Integrate the User’s Comfort Perception into a Smart Home Controller Based on Particle Swarm Optimization and Fuzzy Logic

Usage and impact of the internet-of-things-based smart home technology: a quality-of-life perspective

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