This paper investigates the bipartite event-triggered output consensus problem in heterogeneous linear multi-agent systems (MASs) with a leader operating under signed jointly connected digraphs. The research addresses both cooperative and adversarial communication among agents by introducing a novel edge-based bipartite event-triggering mechanism (ETM), as well as a dynamic ETM for communication between the leader and followers. Subsequently, a distributed bipartite compensator utilizing the composite ETMs is proposed to estimate the states of the leader, and serves as a reference for the states of followers. Moreover, a significant feature of the compensator is that it reduces the frequency of communication between the leader and followers. Besides, it is proven that the system with the compensator can exclude Zeno behavior. Furthermore, observers designed to estimate the states of followers, as well as a new distributed control protocol, are proposed to address the output tracking problem of heterogeneous linear MASs. The results demonstrate that, through the proposed protocol, the output tracking error of the closed-loop control system converges to zero exponentially. Finally, the theoretical findings of this study are validated through a numerical example and an application example.

This research delves into the method of task allocation for Unmanned Aerial Vehicle (UAV) swarms utilizing game theory and negotiation mechanisms in the face of communication network disruptions. Initially, a UAV swarm topology network characterized by a scale-free structure is established. Within this network, specific nodes undergo a single, deliberate batch attack. To address this, an edge-compensation strategy is formulated for network restoration, aiming to reinstate network connectivity to an optimal level. Subsequently, an algorithm is developed, integrating a bi-directional selection negotiation mechanism and coalition game theory, to determine the initial coalition for UAV task allocation. Following this, a traversal algorithm is employed to optimize the initial coalition, ultimately yielding the final task allocation coalition result. This methodology proves effective in repairing the topology network of UAV swarms during attack conditions, leading to the derivation of an optimal UAV allocation scheme that enhances the success rate of task allocations.

This paper deals with the event-triggered dynamic output feedback control for fuzzy systems against denial-of-service (DoS) attacks. The DoS attack behavior is modeled using a binary Markov chain to reflect the unreliability of the communication channel. To reduce network communication overhead, a novel probabilistic event-triggered protocol with uncertain probabilities is introduced. Additionally, the potential mismatches between premise variables and modes in both the fuzzy system and the controller are accounted, leading to the design of a dual-asynchronous dynamic output feedback controller. Finally, the efficacy of the proposed approach is validated through a comprehensive numerical example, highlighting its effectiveness in handling asynchronous control scenarios and DoS attack resilience in fuzzy systems.

This paper investigates the problem of observer-based resilient control of positive systems with heterogeneous DoS attacks. As the attack strategy becomes more and more intelligent, the DoS attacks may be heterogeneous, which means the attack probability and attack success rate of the heterogeneous DoS attacks are time-varying. Different from the existing uniform DoS attacks, the heterogeneous DoS attacks can not be described accurately by the marginal probability. In this paper, a Markov model approach is proposed to describe the heterogeneous DoS attacks with a particular form of transition probability. Based on the obtained Markov model, a output-feedback observer is designed to estimate the missing sensor data. Then, the mode-dependent observer-based resilient controllers of positive systems are designed to against the heterogeneous DoS attacks. Moreover, the positivity and stability of the positive system with L1 performance are analyzed under heterogeneous DoS attacks. In the end, to verify the validity, the proposed approach is applied to continuous stirred tank reactor(CSTR) and age-structured population model.

This paper proposes an event-triggered H-/L-infinity fault detection observer (FDO) design method for discrete-time Lipschitz nonlinear networked control systems (NCSs) in finite-frequency domain. First, a discrete event-triggered transmission scheme is proposed to mitigate the utility of limited network bandwidth. Second, with the aid of a reformulated Lipschitz property, the nonlinear error dynamics are converted into a linear parameter varying (LPV) networked system model. Third, based on this model, the finite-frequency H- index is used to measure the worst-case fault sensitivity performance and the L(infinity )norm from unknown disturbance to residual is used to measure disturbance robustness performance. Next, a residual evaluation and a dynamic threshold are synthesised based on the L-infinity norm. Furthermore, sufficient conditions of the FDO design are derived and transformed by a set of linear matrix inequalities (LMIs). The proposed FDO design method can significantly reduce the data transmission to relieve the communication pressure, and can also achieve better FD performance than the full frequency domain. Finally, A numerical example is provided to demonstrate the effectiveness and applicability of the proposed design approach.

舰载无人机是航母-舰载机系统的重要作战武器,实现舰载无人机在航母甲板上的自主滑行对于提高甲板作业效率具有重要意义.对舰载无人机滑行轨迹控制方法问题进行了研究.首先,描述甲板滑行任务的过程,在此基础上,建立滑行轨迹控制问题的数学模型,包括舰载无人机甲板滑行运动模型、滑行任务约束条件以及评价轨迹控制任务的性能指标.其次,考虑甲板环境和轨迹控制任务要求,基于模型预测控制思想,将在线滑行路径规划与轨迹控制结合,采用滚动优化方法计算出舰载无人机实际滑行轨迹,并且得到控制指令信号.最后,以"尼米兹"级航母为例,对不同停放位置舰载无人机起飞前的滑行轨迹进行仿真计算,结果表明了模型的合理性和算法的有效性.

With the development of network technology, information can flow flexibly, and the research of interconnected systems are booming. The article proposes an H ∞ / H - fault detection observer design means for a networked interconnected system. First, convert a linear networked interconnection systems to linear network systems. Next, the H − index is accustomed to measuring the worst-case sensitivity to failure and H ∞ norm from ungiven inputs to residuals is accustomed to measure disturbance robustness performance, so that the residuals generated by the designed fault detection observer are sensitive to failures and robust to disturbance in finite-frequency domain. Besides, sufficient conditions of the observer design are derived and transformed by a set of LMIs. Lastly, numerical simulations are provided to demonstrate the correctness and effectiveness of the designed means.

This paper investigates Error-bounding fault detection filtering for switched positive time-varying delay systems under mixed L-/L-1 performance, which represent sensitivity and robustness of the fault detection filter, respectively. Error-bounding fault detection filters are established to estimate the output of switched positive time-varying delay systems by a multiple co-positive type Lyapunov-Krasovskii functional. A novel characterization is obtained for exponential stability of the residual system with L- performance and L-1 performance. Based on that characterization, sufficient conditions are derived for designing the required filters in terms of linear programming problems. Finally, an illustrative example shows that the theoretical results are effective and applicable.

为准确描述数字开关液压系统管路压力波传播特性,应用基于传递函数与时间延迟的管路压力波传播分析模型,通过耦合高速开关阀输出流量特性与管路压力波传播分析模型,实现两位两通高速开关阀控缸系统管路压力波传播特性的建模与分析,讨论了不同参数下的管路压力波传播特性,并通过相应的实验加以验证.结果 表明,实验结果与分析模型结果一致性较好,高速开关阀动态特性与系统管路压力波传播特性密切相关,管路属性对系统管路压力波传播过程影响显著,将为后续数字开关惯性液压系统的研究奠定基础.

With the popularization of intelligent transportation system, the demand for vision-based algorithms and performance becomes more and severe. Vehicle detection techniques have made great strides in the past decades; however, there are still some challenges, such as the classification of tiny vehicles. The images of distant vehicles are generally blurred and lack detailed information due to their low resolutions. To solve this problem, we propose a novel method to generate high-resolution (HR) images from fuzzy images by employing a generative adversarial network (GAN). In addition, the dataset used for training standard GAN is generally constructed by down-sampling from the neutral HR images. Unfortunately, the effect of reconstruction is more modest. To cope with this trouble, we first construct our dataset by using three fuzzy kernels. Then, the exposure of the low-resolution (LR) image is adjusted randomly. Furthermore, a hybrid objective function is designed to guide the model to restore image details. The experimental results on the KITTI data set verify the effectiveness of our method for tiny vehicle classification.

针对飞机初步设计阶段其放宽静稳定度(RSS)与电传飞控系统时间延迟边界之间的定量关系求解问题,以战斗机纵向短周期方程为基础,分析了飞控系统中的时间延迟因素,描述了放宽静稳定度与方程参数间的关系.并以等效输入延迟的形式构建了含飞控系统时间延迟的闭环系统特征方程,通过根轨迹趋势理论和数值计算方法确定了放宽静稳定度与飞控系统时间延迟边界的定量数值关系,同时探讨了舵效与动导的参数不确定性对所求时间延迟边界的影响.本文方法对飞机初步设计阶段飞控系统时间延迟指标和可放宽静稳定度边界的确定具有一定的工程实践意义.

SummaryThis article presents a descriptor observer design approach for positive Markov jump linear systems subject to interval parameter uncertainties and sensor faults. First, by taking the sensor fault term as an auxiliary state, an augmented descriptor system is constructed. A pair of positive observers with state‐bounding feature is then proposed, which enables simultaneous estimation of the system state and sensor faults. A necessary and sufficient condition on existence of the desired state‐bounding observer is derived by considering positivity and robust mean exponential stability of corresponding observer error dynamics. An iterative optimization algorithm is developed for the computation of the optimized observer matrices. Finally, a numerical example is presented to show the validity of the proposed methods.

This paper is devoted to the analysis of the ℓ1-induced norm and proposes a novel characterization for 2-D positive systems. As we know that the most popular models of 2-D linear systems were introduced by Roesser, Fornasini and Marchesini. For those two models, an analytical method to compute the exact value of ℓ1-induced norm is first presented. Then, on the basis of these results, a novel characterization for stability and ℓ1-induced performance is proposed for 2-D positive systems. Those characterization are formulated in the form of linear programming (LP). Finally, the theoretical results are illustrated through a numerical example.

以数字开关液压系统中的流体惯性效应为研究对象,基于高速开关阀动力学模型与动态管路传输模型,结合管路中压力波传播特性,构建两位两通高速开关阀匹配惯性管的阀控缸液压系统分析模型,实现高速开关阀输出特性与惯性管内流体动态压力变化的实时耦合,分析了两者之间的耦合作用,并通过实验验证了流体惯性效应的存在.实验结果与分析模型Ⅱ(包含阀芯动力学模型与流体惯性效应)结果一致性较好,表明分析模型Ⅱ下的压力波传播过程可以表征惯性管内的流体惯性效应与寄生液感效应,高速开关阀的动态特性直接影响惯性管内压力波传播特性,可为数字开关惯性液压系统的设计提供依据.

现代空中作战战场环境复杂,电磁干扰交织,作战流程多变,红外导弹作战效能难以研究,针对这一情况,引入OODA环理论,将复杂的作战流程抽象为简单的模块,结合AHP构建作战效能指标体系,并计算指标权重.而针对传统灰色效能评估灰数范围过大问题,引入基于端点混合可能度函数的灰色聚类理论,构建了灰色聚类评估模型,缩小了计算过程中评估灰数范围,通过算例分析,验证模型的可行性和准确性.

In this study, the problem of positive filtering is investigated for positive two‐dimensional (2D) Roesser T–S fuzzy systems under ‐induced performance. Error‐bounding positive filters are constructed to estimate the output of positive 2D T–S fuzzy systems. Firstly, a novel characterisation for asymptotic stability of the filtering error system with ‐induced performance is derived. Then, based on that characterisation, sufficient conditions are derived to design the required filters expressed by linear programming problems. Finally, the theoretical results are illustrated through a numerical example.

This paper investigates the ℓ∞-induced output-feedback controller synthesis problem for positive Takagi–Sugeno (T–S) fuzzy systems. For positive T–S fuzzy systems, a sufficient condition for stability and ℓ∞-induced performance is first put forward using a group of linear inequalities. Then, on the basis of these inequalities, the conditions on which static output-feedback controllers exist are set up, and to solve these conditions, a method of iterative convex optimization is provided. Moreover, a complete solution to the synthesis problem of the controller is proposed based on linear programming for positive T–S fuzzy systems with single output or input. Finally, two examples are presented to illustrate and verify the effective and applicable methods derived in this paper.

In this study, the problem of positive filtering is investigated for positive two-dimensional (2D) Roesser T–S fuzzy systems under <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><alternatives><tex-math notation="LaTeX">$\ell _{1}$</tex-math><mml:math overflow="scroll"><mml:msub><mml:mi>ℓ</mml:mi><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:math><inline-graphic xlink:href="IET-CTA.2018.5211.IM2.gif"/></alternatives></inline-formula> -induced performance. Error-bounding positive filters are constructed to estimate the output of positive 2D T–S fuzzy systems. Firstly, a novel characterisation for asymptotic stability of the filtering error system with <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><alternatives><tex-math notation="LaTeX">$\ell _{1}$</tex-math><mml:math overflow="scroll"><mml:msub><mml:mi>ℓ</mml:mi><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:math><inline-graphic xlink:href="IET-CTA.2018.5211.IM3.gif"/></alternatives></inline-formula> -induced performance is derived. Then, based on that characterisation, sufficient conditions are derived to design the required filters expressed by linear programming problems. Finally, the theoretical results are illustrated through a numerical example.

This paper investigates the ℓ∞-induced output-feedback controller synthesis problem for discrete-time positive systems. For positive linear systems, a necessary and sufficient condition for stability and ℓ∞-induced performance is first put forward using a group of linear inequalities. Then, on the basis of these inequalities, the conditions on which static output-feedback controllers exist are set up, and to solve these conditions, a method of iterative convex optimization is provided. Moreover, a complete solution to the synthesis problem of the controller is proposed based on linear programming for positive systems with single output or input. Finally, two examples are presented to illustrate and verify the effective and applicable methods derived in this paper.

为研究基于高速开关阀的液压缸位置控制问题,设计了基于高速开关阀和换向阀组合控制液压缸的回路,并采用PWM驱动高速开关阀.建立了控制系统的Simulink离线仿真模型,采用基于卡尔曼滤波的PID控制算法完成液压缸的位置跟踪仿真.最后借助Matlab/xPC Target搭建了高速开关阀控液压位置系统的半实物仿真测试平台,仿真与实验结果表明所设计系统结构的正确性,以及采用卡尔曼滤波的PID控制算法可有效提高液压缸的位置控制精度,借助半实物仿真技术可以提高高速开关阀控位置系统的设计效率.