Set Of Controls Research Articles

Antimicrobial resistance and infection prevention in care for people with intellectual disabilities

Abstract Background Antimicrobial resistance (AMR) has become one of the major public health threats worldwide. However, little is known about antimicrobial resistance and infection prevention and control (IPC) in long-term care facilities for people with intellectual disabilities. This study aims to assess knowledge, attitudes and perceptions towards AMR and IPC among healthcare professionals working in long-term care facilities for people with intellectual disabilities (ID-LTCFs) in the Netherlands. Methods We conducted a web-based cross-sectional survey study among medical and nonmedical trained healthcare professionals working in ID-LTCFs in the Netherlands. The survey study was carried out between July and November 2023 and consisted of validated survey items expanded with expert opinion and setting-specific items. Results In total, 109 medical and nonmedical trained healthcare professionals working in 37 long-term care organizations for people with intellectual disabilities throughout the Netherlands completed the questionnaire. Overall, knowledge levels about AMR and IPC differed between medical and nonmedical trained healthcare professionals working in ID-LCTFs, with medically trained professionals having a significant overall higher score on both topics. Knowledge regarding the perceived protective value of glove use was found to be insufficient. Moreover, healthcare professionals expressed a need for easy-to-read resources and tailored setting-specific information on AMR and IPC targeting both healthcare professionals as well as people with disabilities. Conclusions There is room for improvement regarding setting-specific IPC and hygiene policies, such as appropriate glove use in ID-LTCFs. As nonmedically trained professionals comprise most of the workforce within this setting, it is important to further tailor follow-up studies to the underlying factors that influence knowledge, attitudes and perceptions of these specific professionals within ID-LTCFs. Key messages • Developing setting and context-specific policies for infection prevention and control is crucial, particularly in long-term care facilities for people with intellectual disabilities. • Inclusive policy-making is key to combating antimicrobial resistance, and improving infection prevention and control in long-term care facilities for people with intellectual disabilities.

Properties of the controllability set of one class of differential inclusions

Properties of the controllability set of one class of differential inclusions

Research on Integrated Control Strategy for Wind Turbine Blade Life.

Wind turbine blades bear the maximum cyclic load and varying self-weights in turbulent wind environments, which accelerate the propagation of cracks that ultimately progress from minor faults, resulting in blade failure and significant maintenance and shutdown costs. To address this issue, this paper proposes an adaptive control strategy for the blade's useful life. The control system is divided into the inner control loop and the outer control loop. The outer loop is based on the Paris crack propagation model combined with a particle filtering algorithm and calculates the degradation of the blade life under the crack threshold conditions provided by the operation and maintenance strategy to determine the parameter settings of the inner-loop load-shedding controller. The control strategy we propose can balance the load-shedding capability of the controller with the fatigue load of the pitch actuator while considering the predefined remaining useful blade life in the operation and maintenance strategy, avoiding unplanned downtime and reducing maintenance costs.

Perencanaan Strategi Pendidikan di MIN 05 Labuhanbatu

This research aims to analyze the strategic planning of education at MIN 05 Labuhanbatu. This study employs a qualitative approach with a descriptive method, using data collection techniques through interviews, observations, and document studies. Data analysis was conducted through data reduction, data presentation, and conclusion drawing. The subjects of this research are the head of the madrasa, teachers, and students at MIN 05 Labuhanbatu. The results show that the strategic planning of education at MIN 05 Labuhanbatu includes: (1) analysis of internal and external environments, (2) setting of vision, mission, and goals, (3) strategy selection, (4) strategy implementation, and (5) evaluation and control. It can be concluded that MIN 05 Labuhanbatu has conducted educational strategic planning well, encompassing environmental analysis, vision, mission, and goal setting, strategy selection, implementation, as well as evaluation and control. This indicates that the madrasa has good management in handling education.

Application of DPC to improve the integration of DFIG into wind energy conversion systems using FOPI controller

While the direct power control (DPC) approach has proven effective in improving the efficiency of wind energy conversion systems (WECS) using doubly fed induction generators (DFIG), its applicability is currently confined to a single usage and has not been extended to meet numerous applications. This work aimed to modify the implementation of DPC in WECS-DFIG for several objectives. This is accomplished by updating the reference power of the conventional DPC method into an adapted one to achieve two goals independently. The first objective is to track the maximum power during wind speed variations. This tracking is performed by updating the reference power to match the maximum available power at the current wind speed. The second purpose is to ensure that the WECS remains connected to the grid and continues to operate smoothly even in the event of faults; supporting fault-ride through (FRT) capability. That is achieved by reducing the reference power during these faults. The discrimination between these two objectives is based on the voltage level at the point of connecting WECS to the grid. The controller provided is an improved fractional order PI controller developed using arithmetic optimization technique (AOA). A comparison between the AOA and cuckoo search is presented. The results demonstrate the efficacy of the suggested configuration and regulator in enhancing the performance of integrating DFIG into the WECS in the presence of wind fluctuations and short circuit faults occurring. It is worth noting that AOA is better than cuckoo search in fine-tuning the settings of the FOPI controller.

Personalized Nutrition Therapy without Weight Loss Counseling Produces Weight Loss in Individuals with Prediabetes Who Are Overweight/Obese: A Randomized Controlled Trial.

Obesity stands out as a primary risk factor for diabetes. Attaining healthy weight loss, especially reducing body fat, is important in managing prediabetes and preventing progression to full diabetes and its co-morbidities. This study examined the effects of personalized nutrition therapy (PNT) combined with continuous glucose monitoring (CGM) on body weight and composition in individuals with prediabetes. A total of 30 individuals with prediabetes who were overweight or obese were assigned randomly to either the treatment, observed CGM data plus PNT, or the control group which was blinded to their blood glucose results throughout the study. Both groups were provided with dietary recommendations for calorie intake and macronutrient distribution, coupled with personalized goal setting for glucose control and healthy eating, without any specific emphasis on weight reduction or changes in physical activity. Regular visits were scheduled every 10 days to perform measurements and replace CGMs. Data were analyzed using General Linear Model with repeated measures. Over the 30-day follow-up period, both groups experienced significant reductions in weight and fat mass. The treatment group exhibited two-fold greater reductions in both weight and fat mass, a significant decrease in carbohydrate intake, and a significant increase in time spent on physical activitycompared to the control group. In addition, compliance was notably higher in the treatment group. These findings indicate that overweight or obese individuals with prediabetes can achieve weight loss and improved body composition through personalized education for glucose control, without exclusively emphasizing weight loss as the primary objective. Additionally, the real-time feedback provided by CGM enhances these improvements.

Mathematical model of a battery energy storage for a standalone solar photovoltaic plant

Relevance. One of the priority areas for modern energy development is the active use of renewable energy technologies, the leading position among which in terms of the volume of commissioned generating capacity and areas of practical application is occupied by photovoltaics. In recent years, solar photovoltaic plants are increasingly being used as part of autonomous power supply systems, which is largely facilitated by a significant reduction in the cost of their components due to improved technology. Autonomous power supply systems can vary significantly in power, operating conditions, requirements for uninterrupted power supply and many other factors. This determines the high importance of the task of choosing the composition of the main electrical equipment that ensures optimal technical and economic indicators of the designed energy system. To make a reasonable choice of the equipment of an autonomous photovoltaic power plant, simulation models of all its main components are required that adequately reflect their performance characteristics under real operating conditions. An important component of autonomous photovoltaic plants is the energy storage device, which includes a battery and a solar controller that manages the energy balance of the power plant. The settings of the solar controller largely determine the operating modes of the photovoltaic power plant, on which the service life of the batteries primarily depends. Taking into account the fact that the costs of energy storage constitute a significant share of the costs of the total financial investments in the designed power plant, the problem of reliably assessing the service life of batteries is very relevant. Aim. Development of a mathematical model of energy storage system for the design and optimization of the equipment of autonomous photovoltaic plants. Methods. Mathematical and numerical modeling using the MatLab/Simulink software package. Results. A mathematical model of a battery has been developed, based on the modified Shepherd model and the kinetic model of a rechargeable battery. The model is universal and can be used to simulate the static and dynamic characteristics of different types of batteries. To identify model parameters, only the technical specification data provided by the manufacturer is sufficient. The complex model includes a battery life model, which allows you to dynamically adjust the available maximum battery capacity during operation.

Normothermia to Decrease Surgical Site Infection Risk: Silver Bullet or Fool's Gold? A Retrospective Cohort Study.

Surgical site infection (SSI) is the leading cause of nosocomial infections among surgical patients in the United States. Currently, there is compelling evidence suggesting that temperature dysregulation in surgical patients may be a risk factor for the development of SSI. We examined the relationship between perioperative hypothermia (PH) and SSI in a population of surgical patients with diabetes mellitus (DM). This retrospective cohort review was conducted on patients with a history of DM undergoing orthopaedic surgery at our institution between May 1, 2018, and April 1, 2022. Inclusion criteria were age older than 15 years, a history of DM or recent hemoglobin A1c concentration of ≥6.5%, and operation of at least 60 minutes under general anesthesia. Perioperative hypothermia was defined as an intraoperative temperature ≤ 35.5°C. Continuous variables were compared using the t-test and Wilcoxon rank-sum test. Categorical variables were compared using the chi-squared test. We constructed a multivariable logistic regression model to estimate SSI risk while controlling for demographic variables. A total of 236 patients were included in the final analysis. The overall incidence of SSI was 5.93%. 99 patients (42%) experienced PH. No difference was observed in the risk of SSI between the normothermic and hypothermic cohorts. Among the 99 patients who experienced PH, increasing HbA1c was associated with increasing risk of SSI (OR = 2.39, 95% CI = 1.12 to 5.32, P-value = 0.0222). The multivariable logistic regression model had good discriminatory ability (c-statistic 0.74, 95% CI: 0.61 to 0.89) and good predictive accuracy (sensitivity 64%, specificity 73%). PH is not an independent risk factor of SSI. However, in the presence of elevated HbA1c, PH may more than double the risk of SSI. Perioperative hypothermia may be an additive risk factor in the setting of poor glycemic control and potentially in the setting of other known risk factors.

A rights-based approach to eliminating cervical cancer in Africa

This article assesses Africa’s path to eliminating cervical cancer as a human rights imperative. It discusses states’ obligations in relation to the rights to health, life and non-discrimination in relation to gender and priority setting for cervical cancer prevention and control, as well as the need to address disparities in access to care. The needs of vulnerable and marginalized women are explored through the lens of women living with HIV (WLHIV). It argues that the cervical cancer burden in Africa is highest in countries which correlate with high HIV prevalence, and so the elimination of the disease in this group requires specific strategies tailored to their context. It notes further that cervical cancer cannot be eliminated in Africa without specific attention given to the multiple and intersecting forms of discrimination women face, and how this impacts their access to health care. It concludes by providing some concrete suggestions to African governments to address cervical cancer as a human rights imperative.

Impact of age on atrial arrhythmia recurrence following cryoballoon pulmonary-vein isolation

Abstract Background Age is a major risk factor for development of atrial fibrillation (AF) and associated with increased recurrence rates in the setting of rhythm control. Current data tend to support catheter ablation in elderly patients, but it remains unclear whether there is an age limit for ablation and whether the potential benefits of catheter ablation justify the potentially increased complication rate in elderly. Objective To prospectively analyze the impact of age on efficacy and safety of cryoballoon ablation (CBA). Methods ; We prospectively analyzed consecutive patients who underwent CBA in a single-center cohort between 2018 and 2023. Patients were stratified by age (<75yrs versus ≥75yrs) and AF type. Primary efficacy endpoint was recurrence of atrial arrhythmia after 90-day blanking period. Linear and spline regression were used to assess the association between age and primary efficacy endpoint. Safety endpoints were death, stroke or procedure-related complications. Results 873 patients underwent CBA (525 paroxysmal, 348 persistent AF). Median follow-up was 18-months. At 1-year, primary efficacy endpoint occurred in 19.6% (71/363) of young (<75yrs) versus 27.8% (45/162) of elderly (≥75yrs) patients with paroxysmal AF (HR 0.62; 95%CI, 0.41-0.92; P=0.019; fig. 1A) and in 25.0% (57/228) of young versus 39.2% (47/120) of elderly patients with persistent AF (HR 0.57; 95%CI, 0.37-0.85; P=0.006; fig. 1B). A significant linear relationship between age and primary efficacy endpoint occurrence was found for both paroxysmal (P=0.01) and persistent AF (P=0.002; fig.2) while spline regression was non-significant (P=0.45/ P=0.12). No difference was observed regarding the incidence of safety endpoints between young and elderly patients (P=0.76). Conclusion Atrial arrhythmia recurrence rate after CBA increases linearly with age (thus not allowing determination of a clear "cut-off-age") and is highest in elderly patients (≥75 yrs) with persistent AF. Safety of CBA in elderly is comparable to patients of younger age.

Aircraft Pitch Control via Filtered Proportional-Integral-Derivative Controller Design Using Sinh Cosh Optimizer

An innovative approach to controlling aircraft pitch is shown in this research. This approach is accomplished by adopting a proportional-integral-derivative with filter (PID-F) mechanism. A novel metaheuristic approach that we propose is called the sinh cosh optimizer (SCHO), and it is intended to further optimize the settings of the PID-F controller that is used in the aircraft pitch control (APC) configuration. An in-depth comparison and contrast of the recommended method is carried out, and statistical and time domain assessments are utilized in order to ascertain the success of the method. When it comes to managing the APC system, the SCHO-based PID-F controller delivers superior performance compared to other modern and efficient PID controllers (salp swarm based PID, Harris hawks optimization based PID, grasshopper algorithm based PID, atom search optimization based PID, sine cosine algorithm based PID, and Henry gas solubility optimization based PID) that have been published in the literature. When compared to alternative approaches of regulating the APC system, the findings demonstrate that the way that was presented is among the most successful as better statistical (minimum of 0.0033, maximum of 0.0034, average of 0.0034 and standard deviation of 5.1151E−05) and transient response (overshoot of 0%, rise time of 0.0141 s, settling time of 0.0230 s, peak time of 0.0333 s and steady-state error of 0 %) values have been achieved.

Sampling the user controls in neural modeling of audio devices

This work studies neural modeling of nonlinear parametric audio circuits, focusing on how the diversity of settings of the target device user controls seen during training affects network generalization. To study the problem, a large corpus of training datasets is synthetically generated using SPICE simulations of two distinct devices, an analog equalizer and an analog distortion pedal. A proven recurrent neural network architecture is trained using each dataset. The difference in the datasets is in the sampling resolution of the device user controls and in their overall size. Based on objective and subjective evaluation of the trained models, a sampling resolution of five for the device parameters is found to be sufficient to capture the behavior of the target systems for the types of devices considered during the study. This result is desirable, since a dense sampling grid can be impractical to realize in the general case when no automated way of setting the device parameters is available, while collecting large amounts of data using a sparse grid only incurs small additional costs. Thus, the result provides guidance for efficient collection of training data for neural modeling of other similar audio devices.

The crossroads of work and home: linkages between smoke-free policies at work and household environments

BackgroundTobacco use causes over eight million global deaths annually, with seven million directly attributed to tobacco use and 1.2 million to second hand smoke (SHS). Smoke-free environments are crucial to counter SHS. Although India banned smoking in public places in 2008, SHS exposure remains high. Studies have noted that limiting smoking in workplaces, restaurants, etc., helps to reduce overall smoking and reduce SHS exposure. Under this background, the study explores the linkages between smoke-free workplaces and living in smoke-free homes in India.MethodsThe two rounds of the GATS India (2009-10 and 2016-17) have been used for the study. The study focuses on male tobacco smokers working indoors or outdoors or both indoors and outdoors. The sample for the study was 2,969 for GATS 1 and 2,801 for GATS 2. Dependent variables include living in a smoke-free home, while the independent variables were adherence to a smoke-free office policy and socio-demographic variables. The two rounds of the GATS data were pooled for analysis. Statistical analysis involves bivariate and multivariate analysis.ResultsFindings reveal that 41% of respondents worked in smoke-free workplaces in GATS 2. Nationally, smoke-free homes increased from 35% in 2009–2010 to 44% in 2016-17. Individuals with smoke-free workplaces were more likely to have smoke-free homes. The Southern region consistently exhibited the highest proportion of smoke-free homes. Urban areas and higher education correlated with increased smoke-free homes. Logistic regression analysis confirmed that workplace smoke-free status is a significant predictor of smoke-free homes. In GATS 2, respondents aged 30 years and above were less likely to have smoke-free homes, while education and Southern region residence positively influenced smoke-free homes.ConclusionsThe correlation between smoke-free workplaces and smoke-free homes is linked to stringent workplace no-smoking policies, potentially deterring individuals from smoking at home. Opportunities exist for the expansion and stringent implementation of the smoke-free policies among Indian working adults, leveraging the workplace as a key setting for evidence-based tobacco control. The study highlights positive trends in India’s smoke-free homes, crediting workplace policies. Effective policies, education, and regional strategies can advance smoke-free homes, stressing the pivotal role of workplace policies and advocating broader implementation.

Fault-tolerant shunt active power filter with synchronous reference frame control and self-tuning filter

This research proposes a novel method that combines Proportional-Integral (PI) control, Artificial Neural Networks (ANNs), and Synchronous Reference Frame (SRF) theory to improve the performance of a three-phase shunt Active Power Filter (APF) under fault situations. The main goal is to reduce power quality problems in electrical grids that are having problems, such harmonics and voltage sags. To precisely manage the APF, the reference frame in which the grid voltages and currents are synchronized is identified using the SRF theory. In order to provide quick and precise correction of voltage and current distortions, the PI controller is integrated to control the APF's compensatory action. The PI controller offers trustworthy control while running normally, but during errors or disruptions, its functionality may suffer. In order to overcome this difficulty, a self-tuning filter in the form of an Artificial Neural Network (ANN) is presented, which may adaptively modify the PI controller's settings under fault situations. To maintain ideal filter performance, the ANN constantly learns from the system's reaction and modifies in real-time. This self-adjusting feature makes sure that even in the event of grid failures, the APF maintains its ability to mitigate problems with power quality. The suggested method effectively reduces harmonics, voltage sags, and other power quality disturbances under both normal and fault circumstances, as shown by the simulation results. In complicated electrical grid systems, the combination of SRF theory, PI control, and ANN-based self-tuning provides a strong way to improve the dependability and effectiveness of three-phase shunt Active Power Filters.

On the emergence of cooperative industrial and labour relations

AbstractWe explore the long‐run determinants of current differences in the degree of co‐operative labour relations at the local level. We do this by estimating the effect of the medieval communes –that were established in certain cities in Centre‐Northern Italy towards the end of the 11th century – and that contributed to the emergence of a co‐operative attitude in the population on various proxies for current co‐operative labour relations. Conditional on a large set of firm and municipality level controls, as well as a full set of province fixed effects, we find that firms located in municipalities that had been a free medieval commune in the past have higher current probabilities to adopt two‐tier bargaining structures and to be unionized. We also report instrumental variables (IV) and propensity score estimates that confirm our main results.

Heat exchanger control: Using deep-Q network

To achieve stable operation of district heating systems and improve the performance of heat exchange station control systems, this paper explores the application of intelligent control algorithms for controlling district heating systems. Initially, a heat exchanger neural network model is established. Secondly, a mass regulation controller based on a deep reinforcement learning algorithm is designed to accurately track the desired outlet temperature of the secondary side set point. Finally, the performance of the controller in terms of tracking response and disturbance suppression is verified using an example of a district heating system. The experimental results demonstrate that the controller exhibits minimal overshoot, with the outlet temperature of the secondary side deviating by less than 1 % when the controller setting value changes. Additionally, during disturbance suppression response, the deviation of the outlet temperature of the secondary side remains within ±2 °C. Compared to other controllers, the designed controller exhibits superior dynamic performance across various operating points and under different disturbances. Additionally, it outperforms traditional control methods in terms of stability and disturbance rejection capabilities.

A Security Framework for Addressing Privacy Issues in the Zoom Conference System

The COVID-19 pandemic had a significant impact on many facets of human behavior. Most significantly, it required significant changes to how daily activities were conducted. The majority of individuals were forced to work and communicate from home due to social distancing, which opened the door for more virtual meetings. Since most organizations started allowing their employees to work from home, the majority of online meeting platforms—like Zoom and Microsoft Teams—have become more and more popular. Online meetings were not only used by businesses but also by educational institutes to carry out online learning, hospitals to conduct meetings and certain surgeries, and many other industries. The online meetings are practical and simple to organize, but their information security is not as high as that of conventional meetings. Security and privacy issues resulted from this. The safety of personal information such as names, contacts, and locations, the security of online recordings since sensitive information was discussed in most meetings, the security of data while it was in transit, and the potential for competitors to intercept your business were among the many security issues that were raised. Zoom, as one of the famous online conference systems, faced many global concerns, such as sharing private information with third parties, exposing users to unauthorized bullying calls, and adopting questionable end-to-end encryption processes. Additionally, companies have had virtual meetings hacked, leading to privacy issues since hackers can obtain data illegally. Therefore, this research proposes a security framework to address the privacy issues in the Zoom system by applying a set of governance and technical controls. The governance controls provide a strategic view of how an organization controls its security while implementing the technical controls avoids privacy issues in online conference systems. The proposed framework implements a set of technical controls such as encryption, auditing, authentication, and role-based access control. The results were promising and significantly addressed Zoom's privacy issues.

Architecture and evolution of shelf‐margin clinoforms developed in a back‐arc tectonic setting: Insights from quantitative analysis on the south‐west shelf margin of the Ulleung Basin

AbstractGeophysical and geological research in the Ulleung Basin has been ongoing since the 1970s, involving continuous seismic acquisition and multiple well‐drilling projects. This study utilized an integrated quantitative approach with conventional seismic interpretation based on recent trends to understand the history of the shelf‐margin development and individual controls that may have influenced each period in the Ulleung Basin. Quantitative analysis was conducted by measuring the progradation (Pse), aggradation (Ase) and sediment influx (Fc) of individual shelf margins in seven dip‐oriented seismic profiles, and calculating the shelf‐edge gradient (αse) and the P/A ratio. Based on these data and the ratio of accommodation to sediment supply (A/S ratio), which was interpreted from the stratal stacking pattern, five shelf‐edge trajectory types were defined and assigned to each shelf margin. By considering individual controls (eustatic fluctuations, sediment supply and tectonic events), we defined the three evolution intervals of the Ulleung Basin during the Middle Miocene to Late Miocene (15 to 6.5 Ma): (1) the upper Middle Miocene (15 to 11.63 Ma) characterized by a moderate sediment supply and high aggradation margin induced by rapid subsidence, (2) the lower Upper Miocene (10.8 to 10 Ma) as a high sediment supply and low aggradation margin associated with reworked sediments from the uplifted Dolgorae Thrust and (3) the uppermost Miocene (9.2 to 6.5 Ma) characterized by a low sediment supply and low aggradation margin experiencing sediment starvation. A comparison with worldwide continental margins indicated that the Ulleung Basin formed under a relatively low rate of progradation (low sediment supply; 4.79 km/Myr) and a high rate of aggradation (high shelf accommodation; 361.04 m/Myr) condition. The SW margin of the Ulleung Basin provides a unique example of understanding stratigraphic architecture variations under changing stress regimes of back‐arc setting (extensional to compressional) and understanding of individual controls that influence margin development.

Investigation of conditions for preserving global solvability of operator equations by means of comparison systems in the form of functional-integral equations in $\mathbf{C}[0;T

Let $U$ be the set of admissible controls, $T>0$ and it be given a scale of Banach spaces $W[0;\tau]$, $\tau\in(0;T]$, such that the set of constrictions of functions from $W=W[0;T]$ to a closed segment $[0;\tau]$ coincides with $W[0;\tau]$; $F[\cdot;u]\colon W\to W$ be a controlled Volterra operator, $u\in U$. For the operator equation $x=F[x;u]$, $x\in W$, we introduce a comparison system in the form of functional-integral equation in the space $\mathbf{C}[0;T]$. We establish that, under some natural hypotheses on the operator $F$, the preservation of the global solvability of the comparison system pointed above is sufficient to preserve (under small perturbations of the right-hand side) the global solvability of the operator equation. This fact itself is analogous to some results which were obtained by the author earlier. The central result of the paper consists in a set of signs for stable global solvability of functional-integral equations mentioned above which do not use hypotheses similar to local Lipschitz continuity of the right-hand side. As a pithy example of special interest, we consider a nonlinear nonstationary Navier–Stokes system in the space $\mathbb{R}^3$.

Robust stabilization for uncertain discrete–time singular Markovian jump systems with time–varying delays

AbstractThe stabilization problem for uncertain discrete‐time singular Markovian jump systems (DSMJSs) with time‐varying delays is comprehensively covered in this paper. An updated Lyapunov–Krasovskii functional is presented via a discrete state decomposition method. With the help of this constructed Lyapunov–Krasovskii functional, some delay‐ and mode‐dependent sufficient conditions for the open‐loop DSMJSs are derived. Based on these circumstances, a memory mode‐dependent state feedback control is used to create a closed‐loop DSMJS with parameter uncertainties that is regular and causal. And then, the stochastically admissible conditions are attained. Through the exact calculation of each decomposition component for the designed memory state feedback controller, the intended memory state feedback controller settings are determined. It should be mentioned that the algorithm suggested in this article expands the controller design's feasibility and flexibility. The numerical results show how the approach is superior to previous ones, and the given results are less conservative.