Given the rapid development of advanced information systems,microgrids(MGs)suffer from more potential attacks that affect their operational performance.Conventional distributed secondary control with a small,fixed sam...Given the rapid development of advanced information systems,microgrids(MGs)suffer from more potential attacks that affect their operational performance.Conventional distributed secondary control with a small,fixed sampling time period inevitably causes the wasteful use of communication resources.This paper proposes a self-triggered secondary control scheme under perturbations from false data injection(FDI)attacks.We designed a linear clock for each DG to trigger its controller at aperiodic and intermittent instants.Sub-sequently,a hash-based defense mechanism(HDM)is designed for detecting and eliminating malicious data infiltrated in the MGs.With the aid of HDM,a self-triggered control scheme achieves the secondary control objectives even in the presence of FDI attacks.Rigorous theoretical analyses and simulation results indicate that the introduced secondary control scheme significantly reduces communication costs and enhances the resilience of MGs under FDI attacks.展开更多
Set stabilization is one of the essential problems in engineering systems, and self-triggered control(STC) can save the storage space for interactive information, and can be successfully applied in networked control s...Set stabilization is one of the essential problems in engineering systems, and self-triggered control(STC) can save the storage space for interactive information, and can be successfully applied in networked control systems with limited communication resources. In this study, the set stabilization problem and STC design of Boolean control networks are investigated via the semi-tensor product technique. On the one hand, the largest control invariant subset is calculated in terms of the strongly connected components of the state transition graph, by which a graph-theoretical condition for set stabilization is derived. On the other hand, a characteristic function is exploited to determine the triggering mechanism and feasible controls. Based on this, the minimum-time and minimum-triggering open-loop, state-feedback and output-feedback STCs for set stabilization are designed,respectively. As classic applications of self-triggered set stabilization, self-triggered synchronization, self-triggered output tracking and self-triggered output regulation are discussed as well. Additionally, several practical examples are given to illustrate the effectiveness of theoretical results.展开更多
Traditional active power sharing in microgrids,achieved by the distributed average consensus,requires each controller to continuously trigger and communicate with each other,which is a wasteful use of the limited comp...Traditional active power sharing in microgrids,achieved by the distributed average consensus,requires each controller to continuously trigger and communicate with each other,which is a wasteful use of the limited computation and communication resources of the secondary controller.To enhance the efficiency of secondary control,we developed a novel distributed self-triggered active power-sharing control strategy by introducing the signum function and a flexible linear clock.Unlike continuous communication–based controllers,the proposed self-triggered distributed controller prompts distributed generators to perform control actions and share information with their neighbors only at specific time instants monitored by the linear clock.Therefore,this approach results in a significant reduction in both the computation and communication requirements.Moreover,this design naturally avoids Zeno behavior.Furthermore,a modified triggering condition was established to achieve further reductions in computation and communication.The simulation results confirmed that the proposed control scheme achieves distributed active power sharing with very few controller triggers,thereby substantially enhancing the efficacy of secondary control in MGs.展开更多
In this paper, we study the consensus problem for a class of linear multi-agent systems(MASs) with consideration of input saturation under the self-triggered mechanism. In the context of discrete-time systems, a self-...In this paper, we study the consensus problem for a class of linear multi-agent systems(MASs) with consideration of input saturation under the self-triggered mechanism. In the context of discrete-time systems, a self-triggered strategy is developed to determine the time interval between the adjacent triggers. The triggering condition is designed by using the current sampled consensus error. Furthermore, the consensus control protocol is designed by means of a state feedback approach. It is shown that the considered multi-agent systems can reach consensus with the presented algorithm. Some sufficient conditions are proposed in the form of linear matrix inequalities(LMIs) to show the positively invariant property of the domain of attraction(DOA). Moreover, some sufficient conditions of controller synthesis are provided to enlarge the volume of the DOA and obtain the control gain matrix. A numerical example is simulated to demonstrate the effectiveness of the theoretical analysis results.展开更多
MV pulsed switch plays a key role as the transfer switch in large electromagnetic pulse simulators. To broaden the range of self-triggering time, a novel spark-discharge pre-ionization switch, in which the main gap el...MV pulsed switch plays a key role as the transfer switch in large electromagnetic pulse simulators. To broaden the range of self-triggering time, a novel spark-discharge pre-ionization switch, in which the main gap electric field is superposed at the trigger gap to let the electrons in its spark channel also become initial electrons, is proposed and tested. The design idea is: as electrons in the spark channel of the trigger gap always exist after its breakdown, the injection time of pre-ionization should have a more negligible effect on reducing the switch jitter. The experiment results under pulses with a rise time of ~100 ns support the above assumptions.When the operating voltage is from ~300 to ~800 kV and the self-triggering time is ~45% to~75% of the peak time, the breakdown time delay jitter is less than 2 ns, and the breakdown voltage jitter is smaller than 1.25%. Under specific self-triggering time, the breakdown time delay jitter is less than 1.5 ns, and the breakdown voltage jitter is smaller than 0.8%.展开更多
In this paper,a self-triggered consensus filtering is developed for a class of discrete-time distributed filtering systems.Different from existing event-triggered filtering,the self-triggered one does not require to c...In this paper,a self-triggered consensus filtering is developed for a class of discrete-time distributed filtering systems.Different from existing event-triggered filtering,the self-triggered one does not require to continuously judge the trigger condition at each sampling instant and can save computational burden while achieving good state estimation.The triggering policy is presented for pre-computing the next execution time for measurements according to the filter’s own data and the latest released data of its neighbors at the current time.However,a challenging problem is that data will be asynchronously transmitted within the filtering network because each node self-triggers independently.Therefore,a co-design of the self-triggered policy and asynchronous distributed filter is developed to ensure consensus of the state estimates.Finally,a numerical example is given to illustrate the effectiveness of the consensus filtering approach.展开更多
This paper examines the bipartite bounded consensus of multiagent systems(MASs)connected by signed graphs.The considered MAS includes a virtual leader and multiple followers with nonlinear dynamics,where communication...This paper examines the bipartite bounded consensus of multiagent systems(MASs)connected by signed graphs.The considered MAS includes a virtual leader and multiple followers with nonlinear dynamics,where communication link weights between neighboring agents can be negative.To achieve consensus,impulsive control depending on neighbor information is utilized.However,this control may be subjected to deception attacks.To optimize control efficiency by reducing frequency and shortening consensus time,a self-triggered mechanism that determines impulsive instants with variable intervals is proposed.Utilizing graph theory,linear matrix inequality(LMI),and the Lyapunov functional method,conditions for achieving bipartite bounded consensus and the consensus error bound are provided.This study reveals that the graph topology,attack probability,and the maximum value of impulsive intervals are key factors affecting the consensus.Numerical simulations validate the theoretical findings.A comparison of strategies with fixed and self-triggered impulsive intervals highlights the effectiveness of the selftriggered scheme.展开更多
In this study,we investigate the self-triggered impulsive control for stochastic delayed multiagent systems with input saturation.We present a novel self-triggered mechanism using a comparison system method.The next t...In this study,we investigate the self-triggered impulsive control for stochastic delayed multiagent systems with input saturation.We present a novel self-triggered mechanism using a comparison system method.The next triggering instant is predicted on the basis of agent dynamics knowledge and data obtained from the last triggering instant without real-time monitoring;thus,Zeno behavior is naturally avoided.By applying this new self-triggering mechanism,we provide some sufficient conditions for the mean-square consensus based on the stochastic differential theory,Lyapunov function theory,and linear matrix inequalities.Finally,we demonstrate the feasibility of our method by presenting numerical simulation results.展开更多
The problem of secure consensus for multi-agent systems(MASs)is tackled in this study.The self-triggering strategy is designed to enable each healthy agent to estimate its next triggering step at the current triggerin...The problem of secure consensus for multi-agent systems(MASs)is tackled in this study.The self-triggering strategy is designed to enable each healthy agent to estimate its next triggering step at the current triggering step.Thus,each healthy agent only needs to sense and broadcast at its triggering steps,and to monitor the latest broadcast states of their neighbors at their triggering steps.The frequent monitoring is thereby mitigated.Subsequently,a self-triggering secure consensus algorithm is developed to guarantee that the state variables of healthy agents reach consensus despite the influence of faulty agents in the network.The convergence analysis of the proposed method is conducted with graph tools and Lyapunov theory.Numerical examples are given to illustrate the superior performance of the proposed self-triggering secure consensus algorithm compared with the existing methods based on the static and dynamic event-triggering mechanisms.展开更多
This study investigates the consensus problem of a nonlinear discrete-time multi-agent system(MAS)under bounded additive disturbances.We propose a self-triggered robust distributed model predictive control consensus a...This study investigates the consensus problem of a nonlinear discrete-time multi-agent system(MAS)under bounded additive disturbances.We propose a self-triggered robust distributed model predictive control consensus algorithm.A new cost function is constructed and MAS is coupled through this function.Based on the proposed cost function,a self-triggered mechanism is adopted to reduce the communication load.Furthermore,to overcome additive disturbances,a local minimum-maximum optimization problem under the worst-case scenario is solved iteratively by the model predictive controller of each agent.Sufficient conditions are provided to guarantee the iterative feasibility of the algorithm and the consensus of the closed-loop MAS.For each agent,we provide a concrete form of compatibility constraint and a consensus error terminal region.Numerical examples are provided to illustrate the effectiveness and correctness of the proposed algorithm.展开更多
网络控制系统通过通信网络连接传感器、控制器和执行器,实现远程监控和智能控制,具有突破地域限制的优势,但其开放性和网络依赖性也引入了诸多问题。首先,系统分析了网络控制系统中存在的信号量化误差、数据包丢失、网络时延、带宽占用...网络控制系统通过通信网络连接传感器、控制器和执行器,实现远程监控和智能控制,具有突破地域限制的优势,但其开放性和网络依赖性也引入了诸多问题。首先,系统分析了网络控制系统中存在的信号量化误差、数据包丢失、网络时延、带宽占用和网络安全威胁等问题;其次,在回顾网络控制系统研究成果的基础上,提出了新的控制策略,包括新型量化控制、随机丢包控制、时变时延的自触发控制、变采样周期智能调度控制、动态事件触发控制、DoS(denial of service)攻击的网络控制等;再次,归纳了相关的控制理论方法,包括随机系统法、预测控制法、时延估算与补偿、模糊反馈法、神经网络预测法;最后,提出了网络控制系统研究在未来面临的挑战。展开更多
针对受扰移动机器人系统自触发模型预测控制(self-triggered model predictive control,STMPC)在虚假数据注入(false data injection,FDI)攻击下的安全控制问题,提出了一种基于输入重构的弹性STMPC方法。结合自触发机制非周期采样特性和...针对受扰移动机器人系统自触发模型预测控制(self-triggered model predictive control,STMPC)在虚假数据注入(false data injection,FDI)攻击下的安全控制问题,提出了一种基于输入重构的弹性STMPC方法。结合自触发机制非周期采样特性和FDI攻击模型,设计了一种基于关键数据的输入重构机制,以减弱FDI攻击对被控系统的影响。根据状态误差的最优控制问题,设计了重构参数的确定方法,以保证系统在应用重构控制输入后的控制性能。详细分析了所提出弹性STMPC算法的稳定性以及算法可行性。通过仿真和实验验证了所提出算法的有效性。展开更多
背景肝硬化患者上消化道出血再发率高,主要诱因较复杂,积极有效的护理可降低再出血风险.本研究基于诱因干预与舒适护理的协同作用,提出假设:结合出血诱因知识教育与舒适护理能显著降低再出血率,提高自我效能感.目的分析出血诱因知识结...背景肝硬化患者上消化道出血再发率高,主要诱因较复杂,积极有效的护理可降低再出血风险.本研究基于诱因干预与舒适护理的协同作用,提出假设:结合出血诱因知识教育与舒适护理能显著降低再出血率,提高自我效能感.目的分析出血诱因知识结合舒适护理对肝硬化患者上消化道出血的再出血率及慢性病自我效能感量表(Chronic Disease Self-Management Study Measures,CDSES)评分的影响.方法选择南昌大学第二附属医院2023-08/2025-01收治的80例肝硬化上消化道出血患者(均属于出血治疗后康复期),与随机数表形式划为对照组(n=40,常规护理)、观察组(n=40,在常规护理基础上增加出血诱因知识教育和舒适护理).对比两组的再出血率、住院时间、并发症发生率;评估两组的CDSES、生活质量评定量表(generic quality of life inventory-74,GQOLI-74)评分以及健康知识知晓程度.结果观察组的再出血率、并发症总发生率分别为2.50%、7.50%,较对照组的15.00%、25.00%更低,差异具有统计学意义(P<0.05);与对照组比较,观察组8住院时间较短,差异具有统计学意义(P<0.05);组间干预前CDSES、GQOLI-74、健康知识知晓程度差异无统计学意义(P>0.05),干预后,与对照组比较,观察组的CDSES、GQOLI-74评分与健康知识知晓程度均较高,差异具有统计学意义(P<0.05).结论肝硬化上消化道出血患者采取出血诱因知识结合舒适护理具有积极意义,可有效缓解患者的出血症状,预防再出血,并可有效改善生活质量、自我效能感与认知水平,预防并发症.展开更多
基金supported by Hainan Provincial Natural Science Foundation of China(No.524RC532)Research Startup Funding from Hainan Institute of Zhejiang University(No.0210-6602-A12202)Project of Sanya Yazhou Bay Science and Technology City(No.SKJC-2022-PTDX-009/010/011).
文摘Given the rapid development of advanced information systems,microgrids(MGs)suffer from more potential attacks that affect their operational performance.Conventional distributed secondary control with a small,fixed sampling time period inevitably causes the wasteful use of communication resources.This paper proposes a self-triggered secondary control scheme under perturbations from false data injection(FDI)attacks.We designed a linear clock for each DG to trigger its controller at aperiodic and intermittent instants.Sub-sequently,a hash-based defense mechanism(HDM)is designed for detecting and eliminating malicious data infiltrated in the MGs.With the aid of HDM,a self-triggered control scheme achieves the secondary control objectives even in the presence of FDI attacks.Rigorous theoretical analyses and simulation results indicate that the introduced secondary control scheme significantly reduces communication costs and enhances the resilience of MGs under FDI attacks.
基金supported by the National Natural Science Foundation of China (62273201,62173209,72134004,62303170)the Research Fund for the Taishan Scholar Project of Shandong Province of China (TSTP20221103)。
文摘Set stabilization is one of the essential problems in engineering systems, and self-triggered control(STC) can save the storage space for interactive information, and can be successfully applied in networked control systems with limited communication resources. In this study, the set stabilization problem and STC design of Boolean control networks are investigated via the semi-tensor product technique. On the one hand, the largest control invariant subset is calculated in terms of the strongly connected components of the state transition graph, by which a graph-theoretical condition for set stabilization is derived. On the other hand, a characteristic function is exploited to determine the triggering mechanism and feasible controls. Based on this, the minimum-time and minimum-triggering open-loop, state-feedback and output-feedback STCs for set stabilization are designed,respectively. As classic applications of self-triggered set stabilization, self-triggered synchronization, self-triggered output tracking and self-triggered output regulation are discussed as well. Additionally, several practical examples are given to illustrate the effectiveness of theoretical results.
基金Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology(Northeast Electric Power University)Open Fund(MPSS2023⁃01)National Natural Science Foundation of China(No.52477133)+2 种基金Hainan Provincial Natural Science Foundation of China(No.524RC532)Research Startup Funding from Hainan Institute of Zhejiang University(No.0210-6602-A12202)Project of Sanya Yazhou Bay Science and Technology City(No.SKJC-2022-PTDX-009/010/011).
文摘Traditional active power sharing in microgrids,achieved by the distributed average consensus,requires each controller to continuously trigger and communicate with each other,which is a wasteful use of the limited computation and communication resources of the secondary controller.To enhance the efficiency of secondary control,we developed a novel distributed self-triggered active power-sharing control strategy by introducing the signum function and a flexible linear clock.Unlike continuous communication–based controllers,the proposed self-triggered distributed controller prompts distributed generators to perform control actions and share information with their neighbors only at specific time instants monitored by the linear clock.Therefore,this approach results in a significant reduction in both the computation and communication requirements.Moreover,this design naturally avoids Zeno behavior.Furthermore,a modified triggering condition was established to achieve further reductions in computation and communication.The simulation results confirmed that the proposed control scheme achieves distributed active power sharing with very few controller triggers,thereby substantially enhancing the efficacy of secondary control in MGs.
基金supported by the National Natural Science Foundation of China(61921004,61520106009,U1713209,61973074)the Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions
文摘In this paper, we study the consensus problem for a class of linear multi-agent systems(MASs) with consideration of input saturation under the self-triggered mechanism. In the context of discrete-time systems, a self-triggered strategy is developed to determine the time interval between the adjacent triggers. The triggering condition is designed by using the current sampled consensus error. Furthermore, the consensus control protocol is designed by means of a state feedback approach. It is shown that the considered multi-agent systems can reach consensus with the presented algorithm. Some sufficient conditions are proposed in the form of linear matrix inequalities(LMIs) to show the positively invariant property of the domain of attraction(DOA). Moreover, some sufficient conditions of controller synthesis are provided to enlarge the volume of the DOA and obtain the control gain matrix. A numerical example is simulated to demonstrate the effectiveness of the theoretical analysis results.
文摘MV pulsed switch plays a key role as the transfer switch in large electromagnetic pulse simulators. To broaden the range of self-triggering time, a novel spark-discharge pre-ionization switch, in which the main gap electric field is superposed at the trigger gap to let the electrons in its spark channel also become initial electrons, is proposed and tested. The design idea is: as electrons in the spark channel of the trigger gap always exist after its breakdown, the injection time of pre-ionization should have a more negligible effect on reducing the switch jitter. The experiment results under pulses with a rise time of ~100 ns support the above assumptions.When the operating voltage is from ~300 to ~800 kV and the self-triggering time is ~45% to~75% of the peak time, the breakdown time delay jitter is less than 2 ns, and the breakdown voltage jitter is smaller than 1.25%. Under specific self-triggering time, the breakdown time delay jitter is less than 1.5 ns, and the breakdown voltage jitter is smaller than 0.8%.
基金supported by the National Natural Science Foundation of China(Nos.61991402,62073154)the 111 Project(B12018)the Scientific Research Cooperation and High-Level Personnel Training Programs with New Zealand(1252011004200040).
文摘In this paper,a self-triggered consensus filtering is developed for a class of discrete-time distributed filtering systems.Different from existing event-triggered filtering,the self-triggered one does not require to continuously judge the trigger condition at each sampling instant and can save computational burden while achieving good state estimation.The triggering policy is presented for pre-computing the next execution time for measurements according to the filter’s own data and the latest released data of its neighbors at the current time.However,a challenging problem is that data will be asynchronously transmitted within the filtering network because each node self-triggers independently.Therefore,a co-design of the self-triggered policy and asynchronous distributed filter is developed to ensure consensus of the state estimates.Finally,a numerical example is given to illustrate the effectiveness of the consensus filtering approach.
基金supported by the National Natural Science Foundation of China(Grant No.62373165)the Natural Science Foundation of Jiangsu Province(Grant No.BK20181342)。
文摘This paper examines the bipartite bounded consensus of multiagent systems(MASs)connected by signed graphs.The considered MAS includes a virtual leader and multiple followers with nonlinear dynamics,where communication link weights between neighboring agents can be negative.To achieve consensus,impulsive control depending on neighbor information is utilized.However,this control may be subjected to deception attacks.To optimize control efficiency by reducing frequency and shortening consensus time,a self-triggered mechanism that determines impulsive instants with variable intervals is proposed.Utilizing graph theory,linear matrix inequality(LMI),and the Lyapunov functional method,conditions for achieving bipartite bounded consensus and the consensus error bound are provided.This study reveals that the graph topology,attack probability,and the maximum value of impulsive intervals are key factors affecting the consensus.Numerical simulations validate the theoretical findings.A comparison of strategies with fixed and self-triggered impulsive intervals highlights the effectiveness of the selftriggered scheme.
基金supported by the National Natural Science Foundation of China(Grant Nos.62433018,62033003,62276214)。
文摘In this study,we investigate the self-triggered impulsive control for stochastic delayed multiagent systems with input saturation.We present a novel self-triggered mechanism using a comparison system method.The next triggering instant is predicted on the basis of agent dynamics knowledge and data obtained from the last triggering instant without real-time monitoring;thus,Zeno behavior is naturally avoided.By applying this new self-triggering mechanism,we provide some sufficient conditions for the mean-square consensus based on the stochastic differential theory,Lyapunov function theory,and linear matrix inequalities.Finally,we demonstrate the feasibility of our method by presenting numerical simulation results.
基金supported by the National Natural Science Foundation of China(Grant Nos.62173147,62303030,62403028 and U2233212)Beijing Municipal Natural Science Foundation(Grant No.L221008)+1 种基金Open Fund of Science and Technology on Thermal Energy and Power Laboratory(Grant No.TPL2022C02)Postdoctoral Fellowship Program of CPSF(Grant No.GZC20233377)
文摘The problem of secure consensus for multi-agent systems(MASs)is tackled in this study.The self-triggering strategy is designed to enable each healthy agent to estimate its next triggering step at the current triggering step.Thus,each healthy agent only needs to sense and broadcast at its triggering steps,and to monitor the latest broadcast states of their neighbors at their triggering steps.The frequent monitoring is thereby mitigated.Subsequently,a self-triggering secure consensus algorithm is developed to guarantee that the state variables of healthy agents reach consensus despite the influence of faulty agents in the network.The convergence analysis of the proposed method is conducted with graph tools and Lyapunov theory.Numerical examples are given to illustrate the superior performance of the proposed self-triggering secure consensus algorithm compared with the existing methods based on the static and dynamic event-triggering mechanisms.
基金Project supported by the National Natural Science Foundation of China(Nos.61973074,U1713209,61520106009,61533008,and 61921004)the National Key R&D Program of China(No.2018AAA0101400)the Science and Technology on Information System Engineering Laboratory,China(No.05201902)。
文摘This study investigates the consensus problem of a nonlinear discrete-time multi-agent system(MAS)under bounded additive disturbances.We propose a self-triggered robust distributed model predictive control consensus algorithm.A new cost function is constructed and MAS is coupled through this function.Based on the proposed cost function,a self-triggered mechanism is adopted to reduce the communication load.Furthermore,to overcome additive disturbances,a local minimum-maximum optimization problem under the worst-case scenario is solved iteratively by the model predictive controller of each agent.Sufficient conditions are provided to guarantee the iterative feasibility of the algorithm and the consensus of the closed-loop MAS.For each agent,we provide a concrete form of compatibility constraint and a consensus error terminal region.Numerical examples are provided to illustrate the effectiveness and correctness of the proposed algorithm.
文摘网络控制系统通过通信网络连接传感器、控制器和执行器,实现远程监控和智能控制,具有突破地域限制的优势,但其开放性和网络依赖性也引入了诸多问题。首先,系统分析了网络控制系统中存在的信号量化误差、数据包丢失、网络时延、带宽占用和网络安全威胁等问题;其次,在回顾网络控制系统研究成果的基础上,提出了新的控制策略,包括新型量化控制、随机丢包控制、时变时延的自触发控制、变采样周期智能调度控制、动态事件触发控制、DoS(denial of service)攻击的网络控制等;再次,归纳了相关的控制理论方法,包括随机系统法、预测控制法、时延估算与补偿、模糊反馈法、神经网络预测法;最后,提出了网络控制系统研究在未来面临的挑战。
文摘针对受扰移动机器人系统自触发模型预测控制(self-triggered model predictive control,STMPC)在虚假数据注入(false data injection,FDI)攻击下的安全控制问题,提出了一种基于输入重构的弹性STMPC方法。结合自触发机制非周期采样特性和FDI攻击模型,设计了一种基于关键数据的输入重构机制,以减弱FDI攻击对被控系统的影响。根据状态误差的最优控制问题,设计了重构参数的确定方法,以保证系统在应用重构控制输入后的控制性能。详细分析了所提出弹性STMPC算法的稳定性以及算法可行性。通过仿真和实验验证了所提出算法的有效性。
文摘背景肝硬化患者上消化道出血再发率高,主要诱因较复杂,积极有效的护理可降低再出血风险.本研究基于诱因干预与舒适护理的协同作用,提出假设:结合出血诱因知识教育与舒适护理能显著降低再出血率,提高自我效能感.目的分析出血诱因知识结合舒适护理对肝硬化患者上消化道出血的再出血率及慢性病自我效能感量表(Chronic Disease Self-Management Study Measures,CDSES)评分的影响.方法选择南昌大学第二附属医院2023-08/2025-01收治的80例肝硬化上消化道出血患者(均属于出血治疗后康复期),与随机数表形式划为对照组(n=40,常规护理)、观察组(n=40,在常规护理基础上增加出血诱因知识教育和舒适护理).对比两组的再出血率、住院时间、并发症发生率;评估两组的CDSES、生活质量评定量表(generic quality of life inventory-74,GQOLI-74)评分以及健康知识知晓程度.结果观察组的再出血率、并发症总发生率分别为2.50%、7.50%,较对照组的15.00%、25.00%更低,差异具有统计学意义(P<0.05);与对照组比较,观察组8住院时间较短,差异具有统计学意义(P<0.05);组间干预前CDSES、GQOLI-74、健康知识知晓程度差异无统计学意义(P>0.05),干预后,与对照组比较,观察组的CDSES、GQOLI-74评分与健康知识知晓程度均较高,差异具有统计学意义(P<0.05).结论肝硬化上消化道出血患者采取出血诱因知识结合舒适护理具有积极意义,可有效缓解患者的出血症状,预防再出血,并可有效改善生活质量、自我效能感与认知水平,预防并发症.
