Impulse Control Research Articles

Synchronization of Time-Delay Coupled Neural Networks With Stabilizing Delayed Impulsive Control.

This brief studies the distributed synchronization of time-delay coupled neural networks (NNs) with impulsive pinning control involving stabilizing delays. A novel differential inequality is proposed, where the state's past information at impulsive time is effectively extracted and used to handle the synchronization of coupled NNs. Based on this inequality, the restriction that the size of impulsive delay is always limited by the system delay is removed, and the upper bound on the impulsive delay is relaxed, which is improved the existing related results. By using the methods of average impulsive interval (AII) and impulsive delay, some relaxed criteria for distributed synchronization of time-delay coupled NNs are obtained. The proposed synchronization conditions do not impose on the upper bound of two consecutive impulsive signals, and the lower bound is more flexible. Moreover, our results reveal that the impulsive delays may contribute to the synchronization of time-delay systems. Finally, typical networks are presented to illustrate the advantage of our delayed impulsive control method.

Synchronization for discrete coupled fuzzy neural networks with uncertain information via observer-based impulsive control

<abstract><p>This paper discussed the synchronization of impulsive fuzzy neural networks (FNNs) with uncertainty of information exchange. Since the data of neural networks (NNs) cannot be completely measured in reality, we designed an observer-based impulsive controller on the basis of the partial measurement results and achieved the purpose of reducing the communication load and the controller load of FNNs. In terms of the Lyapunov stability theory, an impulsive augmented error system (IAES) was established and two sufficient criteria to guarantee the synchronization of our FNNs system were obtained. Finally, we demonstrated the validity of the results by a numerical example.</p></abstract>

Communication Limited Hybrid Impulsive Control of Fuzzy Time-Delay Multiagent Network

Communication Limited Hybrid Impulsive Control of Fuzzy Time-Delay Multiagent Network

Finite-Time Synchronization of Complex Dynamical Networks via a Novel Hybrid Controller.

The issue of finite-time synchronization (FTS) of complex dynamical networks (CDNs) is investigated in this article. A new control strategy coupling weak finite-time control and finite times of impulsive control is proposed to realize the FTS of CDNs, where the impulses are synchronizing and restricted by maximal impulsive interval (MII), differing from the existing results. In this framework, several global and local FTS criteria are established by using the concept of impulsive degree. The times of impulsive control in the controllers and the settling time, which are all dependent on initial values, are derived optimally. A technical lemma is developed, reflecting the core idea of this article. A simulation example is given to demonstrate the main results finally.

一类受污染的渔业资源管理模型的最优脉冲控制

一类受污染的渔业资源管理模型的最优脉冲控制

Resilient Synchronization of Neural Networks Under DoS Attacks and Communication Delays via Event-Triggered Impulsive Control

Resilient Synchronization of Neural Networks Under DoS Attacks and Communication Delays via Event-Triggered Impulsive Control

Synchronization of Multi-Term Fractional-Order Neural Networks with Switching Parameters via Hybrid Impulsive Control

This paper investigates the hybrid impulsive control synchronization problem of multi-term fractional-order neural networks (MFNNs) with switching parameters. Firstly, a novel MFNN with switching parameters model is introduced by incorporating multi-term Caputo fractional-order derivative to extend the existing framework for fractional-order cases. Then, the relationship between multi-term fractional-order derivative and distributed-order derivative is analyzed, and a synchronization criterion for a class of multi-term fractional-order impulsive switched systems is derived by utilizing the properties of the distributed-order derivative weight function. Furthermore, a hybrid impulsive controller is designed to obtain sufficient conditions for synchronization of MFNNs with switching parameters. To validate the effectiveness of the obtained conclusions, a numerical example is presented to demonstrate the validity of the proposed MFNN model and synchronization criterion.

Polish adaptation and validation of the Short Inventory of Problems (SIP-2L).

The aim of the research was to present the Polish adaptation and validation of the Short Inventory of Problems (SIP-2L) by Miller et al. (1995). The SIP-2L is a popular selfreport measure used to assess the negative consequences of alcohol use in 5 domains with negative consequences: physical, interpersonal, intrapersonal, social and impulse control. The adapted version of SIP assesses lifetime consequences of using alcohol. A total of 256 participants diagnosed with alcohol dependence (71 women and 185 men) completed an assessment battery that included SIP-2L and Polish versions of AUDIT, MAST and KOEP-R, which is a modified Polish adaptation of CEAQ - Comprehensive Effects of Alcohol Questionnaire. Confirmatory factor analysis demonstrated the hypothesized 5-factor model produced the best fit. Reliability of the entire method (Cronbach's α = 0.868) and for all factors was satisfactory, as was convergent validity. The results support that the Polish version of the SIP-2L has good psychometric properties and can successfully assess the consequences of drinking among patients diagnosed with alcohol dependence.

Gadamer 관점에 따른 묻지마 범죄에 대한 음악치료 현장에서의 창의성 이해

Unlike traditional incidents, “Do-not-ask” crimes occur against unspecified people or an unspecified number of people without a specific cause, so anyone can become a victim of “Do-not-ask” crimes, causing serious fear in many people. And, regardless of who is involved, it is difficult to clearly distinguish between a potential perpetrator of a crime and an actual perpetrator, leading to confusion in prevention. Through research to date, it is understood that perpetrators of “Do-not-ask” crimes generally have common problems such as poor economic and family environments, cognition, thinking, impulsiveness control, and emotional control abilities. Additionally, many perpetrators of “Do-not-ask” crimes have a history of mental illness and/or have a thinking disorder due to addiction to psychotropic drugs. Rather than increasing the severity of legal punishment for perpetrators of “Do-not-ask” crimes who have these problems, it is judged that mental rehabilitation treatment that includes drug treatment, interpersonal training, art therapy, and family education is more urgent, and preemptive measures against random crimes are considered more urgent. It is believed that information sharing and the establishment of a cooperative system with various organizations are urgently needed for prevention. First of all, in terms of therapeutic approach, there may be various understandings of perpetrators of crime without question, but crime without question is understood simply as a symptom and the goal is not to reduce or eliminate symptoms, but rather the psychological state of criminals without question is a process of horizon fusion, dialectic. By understanding it as a temporary and intermediate situation, we aim to suggest a direction for healing through the formation of perpetrators' creativity and the role of art and play (Spiel) where this creativity can be actively expressed.

Motion for Wellness: Integrating Physical Therapy in Parkinson’s Disease Management

Parkinson’s disease (PD) is a prevalent neurological condition in older adults that causes motor and non-motor symptoms as well as effects. Impulse control disorders (ICDs) such as pathological gambling, compulsive shopping, compulsive sexual behaviors (hyper-sexuality), and binge eating disorder impact 13.6% of the Parkinson’s disease (PD) population. The discovery that dopamine deficiency is the primary pathogenic characteristic of Parkinson’s disease (PD) and the subsequent development of levodopa have transformed the area of PD therapies. This review will discuss the significant progress that landmark discovery in the 1960s, tremendous progress has been achieved in developing new pharmaceutical and surgical methods to treat PD motor symptoms. However, we will also highlight some of the difficulties that the area of Parkinson’s disease therapies has faced over the years.

Tinjauan Terhadap Faktor-Faktor Peningkatan Resiliensi Pada Remaja Akhir

Late adolescents experience a critical phase of individual development with various challenges that can affect their mental and emotional well-being. The focus of this research is resilience, namely the ability to overcome, adapt and recover from stress or life pressure. The research aims to understand the factors that increase resilience in late adolescents, with a review of emotional regulation, impulse control, optimism, empathy, casual analysis, self-efficacy and achievement. This research uses a qualitative approach. Data was collected through interviews and observations with 7 late adolescent sources using random sampling. The research results show that the level of resilience of the majority of teenagers is in the good category. Factors such as optimism, self-efficacy, and impulse control play a key role in the formation of positive resilience. The conclusion of this research is that it emphasizes the importance of approaches in developing resilience in late adolescents. Empowerment efforts, particularly in emotional regulation and optimism, can help them face challenges, develop robust personal growth, and better prepare for the transition to adulthood. This research provides in-depth insights for the development of effective interventions to support the positive development of adolescents in their transition phase.

Stability analysis of nonlinear systems in the presence of event‐triggered impulsive control

AbstractThis note puts forward continuous event‐triggered impulsive control (CETIC) and dynamic event‐triggered impulsive control (DETIC) to discuss a class of (integral) input‐to‐state stability (iISS, ISS) for nonlinear systems (NSs), where the impulse sequences are produced by certain predesigned event‐triggering conditions. Different from traditionary event‐triggered control (ETC), CETIC indicates that a controller will be stimulated only if the given state‐dependent event condition is invoked. There exist no transfer of control between two continuous impulse triggered instants. Compared with the traditional static ETC, the DETIC can efficaciously lessen controller update and dramatically save energy at the same decay rate. In addition, all sample path solutions (SPS) for the system have the lowest time between events guaranteed to be positive. Utilizing CETIC strategy, we get some Lyapunov conditions to effectually avoid infinite triggering behavior and obtain the ISS‐type stability of the investigative systems. Then, one applies the theoretical consequences to NSs and derive a class of ETC mechanism with impulsive control gains (ICG) by linear matrix inequalities (LMIs). Because of the existence of timer, the DETIC strategy naturally excludes Zeno phenomena. Furthermore, conclusions in this thesis permit the upper bound estimation for the differential Lyapunov function coefficient to be time‐varying function instead of a constant in certain extant results, which means the criteria of the Lyapunov technique in this paper is less conservative and looser. Eventually, three examples with related simulations are demonstrated to indicate the rationalization and usefulness of our conclusion.

Physical Intimate Partner Violence and Emotional Harm in Five U.S. States.

The purpose of this study was to assess the relationship between physical intimate partner violence (IPV) victimization and four related aspects of emotional well-being: threat sensitivity, intolerance of uncertainty, impulse control, and access to resources for emotional regulation. We draw on a transactional model of IPV and emotional regulation to theorize how invalidation and partner threats in relationships can generate harmful emotional outcomes. We used representative data collected for residents living in five U.S. states: Colorado, Minnesota, Mississippi, New Jersey, and Texas. Our analytic sample included individuals who reported having been in a romantic relationship in the past year (N = 2,501). Data were collected using a probability-based web panel, between April 29 and May 15, 2022. Following the presentation of descriptive statistics and bivariate correlations, we developed a series of four multivariate models (ordinary least squares [OLS], negative binomial) to analyze the association between IPV victimization and each emotional outcome. All models adjusted for pertinent demographic and geographic control measures. Physical IPV victimization was associated with increased intolerance of uncertainty and heightened threat sensitivity. IPV victimization also corresponded with poorer impulse control and fewer resources for emotional regulation. Overall, our results demonstrate that experiences of physical IPV victimization are linked to poorer emotional outcomes. These outcomes can be harmful to broader mental health and potentially impact long-term well-being. The findings underscore the importance of mental health screenings that extend beyond assessments of diagnostic-level functions and allocating resources toward alleviating other clinically relevant factors that might arise from or even prompt additional exposure to physical IPV.

Event-triggered impulsive observer with [formula omitted]-asymptotic gain for DC microgrids

This paper studies the problem of the state estimate of a class of DC microgrids with both disturbed states and disturbed outputs via event-triggered impulsive observer (ETIO). First, a mathematical model is established for such class of DC microgrids, and then the notion of impulsive observer including impulsive observer with K-asymptotic gain is proposed. Then, by using two Lyapunov-like functions, a scheme of event-triggered impulsive control (ETIC) via three layers of event-triggering conditions is designed for ETIO to track the state of the DC microgrid. And an algorithm is given for the implementation of ETIC in practice. The ETIC scheme is then extended to the sampling-based ETIC (S-ETIC) to reduce the calculation and improve the effectiveness of the ETIC. Both theoretical proofs and numerical simulations are given to show that the proposed ETIO via both ETIC and S-ETIC can track the state of the DC microgrid within K-asymptotic gain. Specifically, when the disturbance tends to zero, the tracking is accurate. Moreover, the simulation is given for comparisons between ETIO and other observers including the classic impulsive observer, Luenberger observer, sliding mode observer, and extended state observer. It is shown that the designed ETIO has advantages of lower impulse frequency, lower control cost, and smaller tracking error than the other observers.

CANONICAL APPROXIMATIONS IN IMPULSE STABILIZATION FOR A SYSTEM WITH AFTEREFFECT

For optimal stabilization of an autonomous linear system of differential equations with aftereffect and impulse controls, the formulation of the problem in the functional state space is used. For a system with aftereffect, approximating systems of ordinary differential equations proposed by S.N. Shimanov and J. Hale are used. A method for constructing approximations for optimal stabilizing control of an autonomous linear system with aftereffect and impulse controls is proposed. Matrix Riccati equations are used to find approximating controls.

Dynamics and Event-Triggered Impulsive Control of a Fractional-Order Epidemic Model with Time Delay

Due to the lack of timely protection measures against infectious diseases, or based on the particularity of the transmission of some infectious diseases and the time-varying connections between people, the transmission dynamics of infectious diseases in the information society are becoming more and more complex and changeable. A fractional-order epidemic mathematical model with network weighting and latency is proposed in this paper, and the stability near the disease-free equilibrium point and endemic equilibrium point are discussed separately. Subsequently, an event-triggered impulsive control strategy based on an infection rate threshold is put forward. By selecting the appropriate control gain, the Zeno phenomenon can be eliminated on the premise of ensuring the stability of the control error system. Finally, the theoretical results were validated numerically and some conclusions are presented. These findings contribute to future research on the limited-time event-triggered impulsive control of infectious diseases.

Comorbidity of impulse control disorders and major depression in Parkinson’s disease with multiple stressogenic factors: An intensive multimodal complex therapy.

Parkinson’s disease (PD) is a neurodegenerative disorder that is characterized by symptoms that impact both motor and non-motor domains [1]. The disease causes a range of movement symptoms such as balance and gait control disturbance as well as tremor. PD with comorbid major depression and impulse control disorder (ICDs) associated with various stressors not only negatively influence the overall course of disease and treatment but also lead to disability. Whereas there is a well-established treatment guideline for PD, there is no common consent protocol for an effective depression and ICDs therapy in PD Patients.

Impulse control disorders and its association to medication use and other associated factors in patients with Parkinson's disease

Objectives: Impulse control disorders (ICDs) are behaviors that are performed repeatedly, to the point of interfering with the patient's functionality and daily life, without regard for their consequences and with the sole purpose of obtaining immediate gratification. ICDs have been have been related to dopaminergic treatment. This study analyzes the association of different risk factors for the development of ICD in the Mexican population.
 Methods: A cross-sectional study including 244 patients diagnosed with PD was carried out. The data collected were from the year 2021 to 2023. Data were collected through structured interviews including age, gender, year of symptom onset, year of diagnosis, levodopa equivalent dose, antiparkinsonian treatment, and history of smoking and alcohol use was evaluated.
 Results: 244 patients with a diagnosis of Parkinson's disease were included, of whom 146 (59.8%) were men and 98 (40.2%) women with a mean age of 63+/-12.10 years. The sample population was divided into two groups, Group 1 were patients with ICD(ICD-PD) (n=35), and Group 2 Non-ICD (n=209). ICD was associated with alcohol use 2.390 (95% CI 0.02 - 1.72).A trend was found for the use of dopamine agonists (p=0.07) No statistically significant difference was found between groups regarding smoking habits, age at diagnosis, age at symptom onset, age, diagnostic delay, and levodopa equivalent doses.
 Conclusions: Use of alcohol and agonist dopaminergic were the main associated risk factor after multivariate logistic regression.

Stabilization and destabilization of impulsive Markovian switching systems via periodic stochastic controls and impulsive controls

AbstractGiven an unstable (or stable) impulsive Markovian switching system (IMSS), can it be stabilized (or destabilized) by noise? This problem has not been studied. In view of this question, this article will establish the noise stabilization and destabilization strategies of IMSS, and also study the impulsive control realized by adjusting the impulse intensity. It is worth noting that the impulse jump is the random impulse whose jump value depends on the mode, and the noise stabilization and destabilization are realized by periodic stochastic control based on Lévy noise. In order to establish these new results, we use the time‐inhomogeneous property of coefficients of the controlled system and the ergodicity of discrete‐time Markov chains based on impulse trigger time. In addition, the periodic stochastic control on diffusion and jump terms can be applied to design intermittent stochastic control.

Adaptive impulsive synchronization for fractional-order quaternion-valued neural networks with different structures and unknown parameters

The synchronization issue between fractional-order quaternion-valued neural networks with different structures is more common than that with the same structure in the real world. This paper addresses the Mittag-Leffler stability and adaptive impulsive synchronization between two fractional-order quaternion-valued neural networks with different structures. We also propose two assumptions to analyze the parameters of the nonlinear activation functions. Based on the Mittag-Leffler stability and fractional-order Lyapunov direct method, an impulsive controller scheme is designed to ensure the global stability of fractional-order time-delay quaternion-valued neural networks. We also analyzed the situation when the self-feedback matrix and connection matrix of quaternion-valued fractional-order neural networks with different structures are unknown and designed adaptive impulsive controllers to achieve synchronization. Finally, we verified the feasibility and effectiveness of the proposed theorem through numerical simulation experiments.