This paper investigates the adaptive consensus problem of first-order linearly parameterized multi-agent systems(MASs) with imprecise communication topology structure. T-S fuzzy models are presented to describe lead...
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ISBN:
(纸本)9781509054626
This paper investigates the adaptive consensus problem of first-order linearly parameterized multi-agent systems(MASs) with imprecise communication topology structure. T-S fuzzy models are presented to describe leaderfollowers MASs with imprecise communication topology structure, and a fuzzy distributed adaptive iterative learning control protocol is proposed. With the dynamic of leader unknown to any of the agent, the proposed protocol guarantees that the follower agents can track the leader uniformly on [0, T ] for consensus problem. A numerical example is provided to show the effectiveness of the theoretical results.
This paper proposes a control design for enhancing current sharing among distributed reactive power generators by improving cooperation among voltage controllers in a Microgrid system. A novel control approach based o...
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ISBN:
(纸本)9781538619537
This paper proposes a control design for enhancing current sharing among distributed reactive power generators by improving cooperation among voltage controllers in a Microgrid system. A novel control approach based on sharing information with immediate neighbours as modified by current droop is proposed to regulate the voltage and to control the reactive current injection sharing in a distribution feeder. In this paper, the control algorithm uses localized information as well as from the nearest neighbors. Modified consensus shows low communication requirements, good convergence, and good sharing of the compensation current among the inverters. To evaluate the performance of the algorithm, photovoltaic (PV) systems are included in the examples. The key contribution of this paper is to use the adjacency update with a form of droop control.
One of the challenging issues in a distributed computing system is to reach on a decision with the presence of so many faulty nodes. These faulty nodes may update the wrong information, provide misleading results and ...
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ISBN:
(纸本)9781509029068
One of the challenging issues in a distributed computing system is to reach on a decision with the presence of so many faulty nodes. These faulty nodes may update the wrong information, provide misleading results and may be nodes with the depleted battery power. consensus algorithms help to reach on a decision even with the faulty nodes. Every correct node decides some values by a consensus algorithm. If all correct nodes propose the same value then all the nodes decide on that. Every correct nodes must agree on the same value. Faulty nodes do not reach on the decision that correct nodes agreed on. Binary consensus algorithm and average consensus algorithm are the most widely used consensus algorithm in a distributed system. We apply binary consensus and average consensus algorithm in a distributed sensor network with the presence of some faulty nodes. We evaluate these algorithms for better convergence rate and error rate.
This paper is concerned with the problem of finite-time consensus under directed communication topologies for multi-agent systems with double-integrator dynamics. First, a relationship between the weights of in-edges ...
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In this paper, a distributed coordinated control strategy between the energy storage units (ESUs) and the photovoltaic (PV) units in a dc microgrid has been proposed. Hierarchical control for the multiple ESUs has bee...
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ISBN:
(纸本)9781538622124
In this paper, a distributed coordinated control strategy between the energy storage units (ESUs) and the photovoltaic (PV) units in a dc microgrid has been proposed. Hierarchical control for the multiple ESUs has been adopted. In the primary level, an adaptive droop control is introduced, with the droop gains automatically regulated according to the state of charge (SOC) and the rated power of the ESUs. In the secondary level, distributed cooperative control based global de voltage recovery and current sharing improvement has been presented. As another main contribution, a strategy for the coordinated operation of the ESUs and the PV units is proposed. Based on this strategy, the PV unit can change its control mode smoothly and flexibly to guarantee the stable operation of the de microgrid in case of emergency conditions. The proposed distributed cooperative control strategy for the de microgrid has been verified by a low-voltage islanded de microgrid prototype.
This paper is concerned with the problem of finite-time consensus under directed communication topologies for multi-agent systems with double-integrator dynamics. First, a relationship between the weights of in-edges ...
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This paper is concerned with the problem of finite-time consensus under directed communication topologies for multi-agent systems with double-integrator dynamics. First, a relationship between the weights of in-edges and the ones of out-edges for each agent is established and is used in finite-time consensus analysis. Second, based on our previously proposed finite-time consensus controller, the consensus conditions in the framework of directed topologies are derived. Finally, the effectiveness of the finite-time consensus conditions is illustrated by numerical examples. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
This paper deals with the voltage and frequency restoration problem for a droop controlled islanded microgrid (MG). A consensus based distributed control is proposed for voltage/frequency restoration of MG which allow...
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ISBN:
(纸本)9781509011346
This paper deals with the voltage and frequency restoration problem for a droop controlled islanded microgrid (MG). A consensus based distributed control is proposed for voltage/frequency restoration of MG which allows all the distributed generator (DG) unit voltage magnitude and operating frequency to converge to the nominal values even with different communication topologies. The proposed control scheme is distributed in nature thereby eliminating the risk of single point failure because no central controller is required. Here, DG units need to communicate with their immediate neighbors only over a distributed communication network. The communication network has inherent transmission delays which can adversely affect the controller performance. Here, the impact of time delay is investigated on the proposed secondary controller of MG system. An islanded MG test system consisting of five DG unit, their respective loads, and transmission lines is simulated in MATLAB/Simulink to verify the performance of the proposed technique.
Distributed detection without fusion center (FC) allows each sensor node to exchange measurements with its neighbors and to reach agreement on the existence of the target using the consensus algorithm. Comparing with ...
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ISBN:
(纸本)9781538620625
Distributed detection without fusion center (FC) allows each sensor node to exchange measurements with its neighbors and to reach agreement on the existence of the target using the consensus algorithm. Comparing with the centralized system, the decentralized system has better performance, in terms of robustness, scalability and invulnerability. Due to the decentralized and open properties, the security of decentralized system is challenging. In this paper, we introduce the system model of consensus-based distributed detection, and analyze the steady-state detection performance in the presence of the sensing data falsification attack. We define a probabilistic inverse attack model to characterize the malicious behavior. Then, we derive the closed-form expressions for the performance of the consensus-based distributed detection under the defined attack model, in terms of the false-alarm probability, the detection probability and the error probability. Moreover, using the deflection coefficient as the objective function, we derive the blind condition of making the detection system invalid. Simulation results illustrate the effects caused by sensing data falsification attack.
In this paper,the state estimation problem is investigated for a class of nonlinear stochastic *** order to deal with the effects of missing measurements,a consensus-based unscented Kalman filtering algorithm is prese...
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ISBN:
(纸本)9781538629185
In this paper,the state estimation problem is investigated for a class of nonlinear stochastic *** order to deal with the effects of missing measurements,a consensus-based unscented Kalman filtering algorithm is presented on the basis of distributed sensor ***,a sufficient condition is derived to ensure that the estimate error is bounded in mean ***,simulation results show that the proposed filters can estimate the true state of the target plant under undesirable conditions.
This paper aims to investigate the formation control of multiple no-holonomic mobile robots based on consensus approach while guarantee inter-collision avoidance among robots. The proposed approach design a controller...
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ISBN:
(纸本)9781509039609
This paper aims to investigate the formation control of multiple no-holonomic mobile robots based on consensus approach while guarantee inter-collision avoidance among robots. The proposed approach design a controller benefit of the product of Lyapunov and graph theory permit a group of agents to converge to a desired virtual geometric shape defined as an n-ellipsoid with its center track the desired reference trajectory. Furthermore, we inject into the proposed consensus algorithm a Fuzzy logic system to calculate the robot translation and angular velocity to keep the formation and get the desired direction of the virtual leader robot. Moreover, we have constructed a simulator for a small group of robots in. 3D environment founded on the Robot Operating System and Gazebo. The simulation results verify the effectiveness of the proposed method.
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