In this paper, we consider the distributed state estimation problem of continuous-time linear time -invariant (LTI) systems, where communication channels are attacked by stochastic impulsive se-quences. In a networked...
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In this paper, we consider the distributed state estimation problem of continuous-time linear time -invariant (LTI) systems, where communication channels are attacked by stochastic impulsive se-quences. In a networked system, the communication channel between an agent and its neighbor is vulnerable to being attacked. Continuous attacks have been widely studied so far, but with the development of attack techniques, intermittent attacks have been emerging, which are more difficult to be identified and detected, and have not been well portrayed and studied. Therefore, this paper investigates a random intermittent injection attack, which leads to abrupt and random changes of the state information transmitted by the neighbors. First, this attack is modeled as a stochastic impulsive sequential attack, where both its impulsive time and impulsive intensity are random. Then a distributed observer under stochastic impulsive sequential attack is proposed. Since the impulsive attack destroys the stability of the system, in order to attenuate the impact of the impulsive attack, a large feedback gain is necessary. By using the graph theory, matrix theory and stochastic analysis, sufficient conditions for the existence of the distributed observer in the sense of mean square and in the sense of almost sure are presented, respectively. Finally, the effectiveness of the proposed distributed observer is verified by numerical simulations.(c) 2023 The Author(s). Published by Elsevier *** is an open access article under the CC BY license (http://***/licenses/by/4.0/).
This paper proposes a label-free controller for a second-order multi-agent system to cooperatively fence a moving target of variational velocity into a convex hull formed by the agents whereas maintaining a rigid form...
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This paper proposes a label-free controller for a second-order multi-agent system to cooperatively fence a moving target of variational velocity into a convex hull formed by the agents whereas maintaining a rigid formation. Therein, no label is predetermined for a specified agent. To attain a rigid formation with guaranteed collision avoidance, each controller consists of two terms: a dynamic regulator with an internal model to drive agents towards the moving target merely by position information feedback, and a repulsive force between each pair of adjacent agents. Significantly, sufficient conditions are derived to guarantee the asymptotic stability of the closed-loop systems governed by the proposed fencing controller. Rigorous analysis is provided to eliminate the strong nonlinear couplings induced by the label-free property. Finally, the effectiveness of the controller is substantiated by numerical simulations. (c) 2022 Elsevier Ltd. All rights reserved.
When various distributed generation (DG) technologies are integrated into an islanded AC microgrid (MG), the system's heterogeneous characteristics make synchronizing all units within the network more challenging....
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When various distributed generation (DG) technologies are integrated into an islanded AC microgrid (MG), the system's heterogeneous characteristics make synchronizing all units within the network more challenging. From the perspective of complex networks, the capability of an islanded MG to achieve synchronization is closely associated with its physical topology. Consequently, a pressing need exists for a theoretical analysis of the network topology's influence on synchronizability in AC MGs. In this article, we first develop a concise criterion for the synchronization condition of AC MGs and then introduce the definition of the synchronizability index, which measures the robustness of synchronization against disturbances such as voltage sags, sudden load changes, and component failures. Subsequently, we investigate the topology effect on synchronizability in islanded AC MGs for cases involving additional new connections or a unit node. Moreover, we provide an explicit expression of the general algorithm for computing the synchronization rate associated with topology parameters, such as the incidence matrix, weight matrix, and algebraic connectivity, among others, in the MG. The condition for the maximum synchronization rate is also explored. Finally, the accuracy of the theoretical results is validated through several test systems.
The maintenance time schedule optimization into the investment budget decision for building energy retrofitting and maintenance planning is incorporated. The aggregate performance and population dynamics of the totali...
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The maintenance time schedule optimization into the investment budget decision for building energy retrofitting and maintenance planning is incorporated. The aggregate performance and population dynamics of the totality of retrofitted items is described by an impulsive switched system model. The items are switched to different working states by maintenance actions with impulsive effects. Considering the retrofitting project with deterioration. The objective of optimal maintenance control is to maximize the overall energy savings and financial payback. The optimal maintenance control problem is showed to be feasible and bounded. The maintenance time schedule and intensities are simultaneously optimized by an improved differential evolution (DE) algorithm. Compared with the fixed maintenance time schedule, the proposed approach is validated by simulation results, specifically, 3.36% of energy saving and 23.09% of internal rate of return (IRR) can be improved.
The coupled national-scale railway and airline systems (CRASs) have drastically improved inter-city connectivity and national economics, but they remain susceptible to various extreme events. These events, including f...
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The coupled national-scale railway and airline systems (CRASs) have drastically improved inter-city connectivity and national economics, but they remain susceptible to various extreme events. These events, including flooding and typhoon, often manifest as localized events because all direct interrupted components lie in a small region relative to the large-scale distribution of CRASs. Instead of the hazard-specific modeling of each localized event, this paper introduces four types of localized disruption models to simulate localized events with various locations, impact coverages, and time spans. A multi-perspective framework is then proposed for travel time-based functionality loss assessment of CRASs under localized events. Taking CRASs in China as an application, results demonstrate that (1) the functionality loss is highly sensitive to the event location, and events in areas with more population, higher GDP, and larger transport systems tend to cause higher functionality loss;(2) the impact coverage of events has a limited influence on functionality loss, as critical areas identified under circle-shaped impact coverage keep consistent with those under administrative district-based coverage;(3) the functionality loss and critical areas vary largely with the time span of localized events. The findings provide valuable insights in devising mitigation strategies for CRASs against various extreme events.
The highly flexible wearable device for human-machine interaction is a burgeoning technology that has garnered considerable attention among researchers. However, current wearable devices such as data gloves, wrist ban...
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The highly flexible wearable device for human-machine interaction is a burgeoning technology that has garnered considerable attention among researchers. However, current wearable devices such as data gloves, wrist bands and exoskeleton devices require additional fixation aids, which interfere with the users' movements and cause discomfort. Here, a flexible on-skin triboelectric sensor is developed for high-precision human-machine interaction, which is in the form of a thin film containing a soft substrate and two triboelectric layers with mismatched elastic modulus. The on-skin triboelectric sensors can be mounted on the forearm epidermis by their own adhesion, which is rarely perceptible and does not impede hand and wrist mobility. On the basis, the sensors can accurately measure the tiny deformations caused by muscle movement. Meanwhile, a heterogeneous parallel channel fusion (HPCF) model is proposed for advanced signal processing and recognition of sensor data, where varying signal features are extracted by different-sized convolutional kernels. The human-machine interaction system by combining the on-skin triboelectric sensors and algorithm achieves up to 99.12% accuracy when identifying 26 distinct gestures, which holds vast potential in several areas, such as gesture recognition, virtual reality, and teleoperation.
This work explores the fixed-time stabilization of fuzzy uncertain systems based on conditional integral sliding mode control. The difficulties in solving such problems include the integral windup problem and the seve...
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This work explores the fixed-time stabilization of fuzzy uncertain systems based on conditional integral sliding mode control. The difficulties in solving such problems include the integral windup problem and the severe chattering problem when the system converges. Moreover, the design of the traditional fixed-time controller algorithm in the integral sliding mode control becomes complicated. In order to overcome these difficulties: 1) a piecewise function which can bring distant states closer to the sliding surface is considered in the integral function to prevent the integral windup problem, 2) a class of state variable controllers with odd power is designed to solve the chattering problem due to there is no sign function, 3) a fixed-time control algorithm is introduced into the integral function and the controller to guarantee that both the reachability and sliding motion phases are fixed-time stable. Furthermore, based on 1) and 3), an appropriate fixed-time conditional integral sliding mode controller is constructed to ensure the fixed-time reachability of the designed sliding mode surface. Besides, combining 1), 2) and 3), a class of chattering-free fixed-time integral sliding-mode controllers is established to obtain the fixed-time reachability of the sliding mode surface and the fixed-time stability of sliding mode dynamics. This method dramatically reduces the chattering problem and can adjust integral windup. Finally, two numerical simulations are presented to verify the theoretical results, showing the robustness of the designed overshoot factor and the chattering-free scheme for sliding mode control.
Due to the constraints of manufacturing and materials,high-power plants cannot rely on only one solid oxide fuel cell stack.A multi-stack system is a solution for a highpower system,which consists of multiple fuel cel...
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Due to the constraints of manufacturing and materials,high-power plants cannot rely on only one solid oxide fuel cell stack.A multi-stack system is a solution for a highpower system,which consists of multiple fuel cell stacks.A short lifetime is one of the main challenges for the fuel cell before largescale commercial applications,and prognostic is an important method to improve the reliability of fuel *** from the traditional prognostic approaches applied to single-stack fuel cell systems,the key problem in multi-stack prediction is how to solve the correlation of multi-stack degradation,which can directly affect the accuracy of *** response to this difficulty,a standard Brownian motion is added to the traditional Wiener process to model the degradation of each stack,and then the probability density function of the remaining useful life(RUL)of each stack is ***,a Copula function is adopted to reflect the dependence between life distributions,so as to obtain the remaining useful life for the whole multi-stack system.1 The simulation results show that compared with the traditional prediction model,the proposed approach has a higher prediction accuracy for multi-stack fuel cell systems.
In the process of dispensing, the traditional dispensing robot generally obtains the component pad profile according to the Mark point assisted positioning, and directly uses the profile as the dispensing profile. How...
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In the process of dispensing, the traditional dispensing robot generally obtains the component pad profile according to the Mark point assisted positioning, and directly uses the profile as the dispensing profile. However, due to the influence of welding and other factors, the posture of the components often changes after welding, which easily causes the actual dispensing contour to be difficult to completely match the pad, so there is a certain deviation in the dispensing. Moreover, component recognition based on convolutional neural network requires a large number of samples for training, which is not conducive to the expansion of dispensing components. This paper focuses on the high-precision dispensing task. Based on the indirect positioning components, this paper uses Mask RCNN to extract complex component dispensing track in different environments. Compared with traditional methods, this method has higher robustness and dispensing accuracy. At the same time, the transfer learning method is used to train the neural network, so that the algorithm has better scalability and flexibility when facing the detection and segmentation tasks of new components. The experimental results show that the component dispensing track extraction method proposed in this paper has higher precision and flexibility than the traditional method.
The study primarily delves into addressing the data filtering challenge inherent in the silicon single crystal growth process by proposing a multi-sensor integrated detection approach. This approach is designed to all...
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