Unmanned aerial vehicles (UAVs) can provide detection coverage service in many scenarios. The fair coverage is achieved by designing carefully UAVs' trajectories, which are established at each step by choosing the...
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Over the past decade, the study of stability theory in integro-differential systems has grown significantly owing to their relevance in solving physical and engineering problems, such as viscoelasticity and thermo-vis...
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Over the past decade, the study of stability theory in integro-differential systems has grown significantly owing to their relevance in solving physical and engineering problems, such as viscoelasticity and thermo-viscoelasticity in materials with memory properties. This paper concentrates on a class of infinite-dimensional stochastic integro-differential systems. We establish the well-posedness of the system and identify mild solutions to the system and an abstract stochastic Cauchy problem. This identification is identified by employing a semigroup approach combined with Yosida approximation. We derive sufficient conditions that ensure the mean-square exponential stability of mild solutions to the system boils down to the boundedness of a certain function and a norm estimate for the stochastic part. These conditions are implemented through the semigroup approach and the composition operator method. Illustrative examples are provided and the obtained theoretical results are validated by numerical simulations.
In this paper,an asymmetric bipartite consensus problem for the nonlinear multi-agent systems with cooperative and antagonistic interactions is studied under the event-triggered *** the agents described by a structura...
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In this paper,an asymmetric bipartite consensus problem for the nonlinear multi-agent systems with cooperative and antagonistic interactions is studied under the event-triggered *** the agents described by a structurally balanced signed digraph,the asymmetric bipartite consensus objective is firstly defined,assigning the agents'output to different signs and module *** with the completely unknown dynamics of the agents,a novel event-triggered model-free adaptive bipartite control protocol is designed based on the agents'triggered outputs and an equivalent compact form data *** utilizing the Lyapunov analysis method,the threshold of the triggering condition is ***,the asymptotic convergence of the tracking error is deduced and a sufficient condition is obtained based on the contraction mapping ***,the simulation example further demonstrates the effectiveness of the protocol.
作者：
Qian, ZheLi, XinWang, QunjingDeng, WenzheSun, ZehuiChen, QixuAnhui University
School of Electrical Engineering and Automation National Engineering Laboratory of Energy-Saving Motor and Control Technology Hefei230601 China Anhui University
School of Electrical Engineering and Automation Hefei230601 China Anhui University
School of Electrical Engineering and Automation National Engineering Laboratory of Energy-Saving Motor and Control Technology Anhui Collaborative Innovation Center of Industrial Energy-Saving and Power Quality Control Hefei230601 China
Signal injection method shows good performance in estimating the rotor position of permanent magnet synchronous motor (PMSM) at low speed, while the traditional uniaxial fixedphase signal injection (UFPSI) method will...
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This article explores the impacting mechanism of variable leakage flux on magnetizing (mag-) and demagnetizing (demag-) effects in dual-variable flux memory machines (D-VFMMs). By reasonably utilizing the variable lea...
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This study addresses a mean-square prescribed finite-time output consensus problem of high-order linear multi-agent systems with communication noises and thus further generalizes the results in [1–4]. The main contri...
This study addresses a mean-square prescribed finite-time output consensus problem of high-order linear multi-agent systems with communication noises and thus further generalizes the results in [1–4]. The main contributions include three aspects:(i) It is challenging to analyze and display the finite-time stability due to the presence of communication noises in the sign function and the absence of communication noises in the quadratic Lyapunov function.
The single-stage dual-dc-port inverter (SDI) directly connects the photovoltaic (PV)-battery hybrid system to the ac side, which offers the advantages of high efficiency and low cost due to the removal of dc-dc conver...
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The industrial Internet of Things(IIoT)is a new indus-trial idea that combines the latest information and communica-tion technologies with the industrial *** this paper,a cloud control structure is designed for IIoT i...
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The industrial Internet of Things(IIoT)is a new indus-trial idea that combines the latest information and communica-tion technologies with the industrial *** this paper,a cloud control structure is designed for IIoT in cloud-edge envi-ronment with three modes of *** 5G based IIoT,the time sensitive network(TSN)service is introduced in transmission network.A 5G logical TSN bridge is designed to transport TSN streams over 5G framework to achieve end-to-end *** a transmission control protocol(TCP)model with nonlinear disturbance,time delay and uncertainties,a robust adaptive fuzzy sliding mode controller(AFSMC)is given with control rule *** workflows are made up of a series of subtasks that are linked by the dependencies between sensor datasets and task *** workflow scheduling is a non-deterministic polynomial(NP)-hard problem in cloud-edge *** adaptive and non-local-convergent particle swarm optimization(ANCPSO)is designed with nonlinear inertia weight to avoid falling into local optimum,which can reduce the makespan and cost *** and experiments demonstrate that ANCPSO has better performances than other classical algo-rithms.
In this paper, we extend the state-space kriging(SSK) modeling technique presented in a previous work by the authors in order to consider non-autonomous systems. SSK is a data-driven method that computes predictions a...
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In this paper, we extend the state-space kriging(SSK) modeling technique presented in a previous work by the authors in order to consider non-autonomous systems. SSK is a data-driven method that computes predictions as linear combinations of past outputs. To model the nonlinear dynamics of the system, we propose the kernel-based state-space kriging(K-SSK), a new version of the SSK where kernel functions are used instead of resorting to considerations about the locality of the data. Also, a Kalman filter can be used to improve the predictions at each time step in the case of noisy measurements. A constrained tracking nonlinear model predictive control(NMPC) scheme using the black-box input-output model obtained by means of the K-SSK prediction method is proposed. Finally, a simulation example and a real experiment are provided in order to assess the performance of the proposed controller.
Final velocity and impact angle are critical to missile *** efficient guidance law with compre-hensive consideration of the two performance merits is challeng-ing yet remains less ***,this paper seeks to solve a type ...
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Final velocity and impact angle are critical to missile *** efficient guidance law with compre-hensive consideration of the two performance merits is challeng-ing yet remains less ***,this paper seeks to solve a type of optimal control problem that maximizes final velocity subject to equality point constraint of impact angle *** is proved that the crude problem of maximizing final velocity is equivalent to minimizing a quadratic-form cost of *** closed-form guidance law is henceforth derived using optimal control *** derived analytical guidance law coincides with the widely-used optimal guidance law with impact angle constraint(OGL-IAC)with a set of navigation parameters of two and *** this basis,the optimal emission angle is determined to further increase the final *** derived optimal value depends solely on the initial line-of-sight angle and impact angle constraint,and thus practical for real-world *** proposed guidance law is validated by numerical *** results show that the OGL-IAC is superior to the benchmark guidance laws both in terms of final velocity and missing distance.
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