Distributed Adaptive Consensus Output Regulation of Network-Connected Heterogeneous Unknown Linear Systems on Directed Graphs

Ding, Zhengtao

doi:10.1109/tac.2016.2628643

Cited by 58 publications

(21 citation statements)

References 18 publications

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“…Proof: See appendix. B Based on Lemma 4.2 and the Proposition A.1 in [43], we now ready to establish that, with (24), the trajectories of the charging power allocations of PEVs converge to the solution of the optimal charging problem.…”

Section: Convergence Analysismentioning

confidence: 95%

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Distributed Initialization-Free Cost-Optimal Charging Control of Plug-In Electric Vehicles for Demand Management

Zhao

Ding

2017

IEEE Trans. Ind. Inf.

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Abstract-This paper considers the optimal charging problem of plug-in electric vehicles (PEVs) on demand side management. PEVs provide a promising alternative solution to reduction of environmental pollution and fuel emission. With a large number of PEVs connected to the grid, a well-designed charging coordination approach is needed to release the impacts on the power system. A distributed cooperative control strategy of PEVs is proposed to meet system interests while respecting each PEV's charging constraint. The proposed strategy is distributed, which only needs to be interacted with the neighbouring agents. Our analysis shows that the proposed strategy solves the optimal charging problem of PEVs in an initialization-free approach, which avoids any procedure for initialization during PEVs' charging process. Furthermore, the proposed strategy is robust to the time-varying available charging power and plug-and-play operations. The simulation studies validate the effectiveness of the proposed distributed strategy.

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Section: Convergence Analysismentioning

confidence: 95%

“…The recharging socket only interacts with its neighboring agents to exchange the information, i.e., (P EV,i , x i ). Each agent deploys the proposed algorithm (24) in Section IV which will provide an optimal power charging reference for all PEVs.…”

Section: A Algorithm Implementationmentioning

confidence: 99%

Distributed Initialization-Free Cost-Optimal Charging Control of Plug-In Electric Vehicles for Demand Management

Zhao

Ding

2017

IEEE Trans. Ind. Inf.

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“…I N RECENT years, cooperative control of a group of agents has drawn increased attention due to its high potential in many applications, such as vehicle formation [1], [2], synchronization [3], satellite clusters [4], and distributed sensor network [5]. Consensus control is a fundamental problem in distributed cooperative control of multiagent systems, which deals with the control design to ensure that all the agents achieve the same control objective, such as common output or state values [6]. Laplacian matrix, which plays an important role in consensus control design, is used to describe the network connection.…”

Section: Introductionmentioning

confidence: 99%

Predictor-Based Extended-State-Observer Design for Consensus of MASs With Delays and Disturbances

Wang

Zuo

et al. 2019

IEEE Trans. Cybern.

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140

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In this paper, we study output feedback leader-follower consensus problem for multiagent systems subject to external disturbances and time delays in both input and output. First, we consider the linear case and a novel predictor-based extended state observer is designed for each follower with relative output information of the neighboring agents. Then, leader-follower consensus protocols are proposed which can compensate the delays and disturbances efficiently. In particular, the proposed observer and controller do not contain any integral term of the past control input and hence are easy to implement. Consensus analysis is put in the framework of Lyapunov-Krasovskii functionals and sufficient conditions are derived to guarantee that the consensus errors converge to zero asymptotically. Then, the results are extended to nonlinear multiagent systems with nonlinear disturbances. Finally, the validity of the proposed design is demonstrated through a numerical example of network-connected unmanned aerial vehicles.

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“…Output regulation design is also an efficient way to deal with deterministic disturbances. Many results have been published in this area for single systems [35,36] and multi-agent systems [37][38][39][40].…”

Section: Introductionmentioning

confidence: 99%

Formation control with disturbance rejection for a class of Lipschitz nonlinear systems

Wang

Gong

Ding

2017

Sci. China Inf. Sci.

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In this paper, we consider the leader-follower formation control problem for general multi-agent systems with Lipschitz nonlinearity and unknown disturbances. To deal with the disturbances, a disturbance observer-based control strategy is developed for each follower. Then, a time-varying formation protocol is proposed based on the relative state of the neighbouring agents and sufficient conditions for global stability of the formation control are identified using Lyapunov method in the time domain. The proposed strategy and analysis guarantee that all signals in the closed-loop dynamics are uniformly ultimately bounded and the formation tracking error converges to an arbitrarily small residual set. Finally, the validity of the proposed controller is demonstrated through a numerical example.

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Distributed Adaptive Consensus Output Regulation of Network-Connected Heterogeneous Unknown Linear Systems on Directed Graphs

Cited by 58 publications

References 18 publications

Distributed Initialization-Free Cost-Optimal Charging Control of Plug-In Electric Vehicles for Demand Management

Distributed Initialization-Free Cost-Optimal Charging Control of Plug-In Electric Vehicles for Demand Management

Predictor-Based Extended-State-Observer Design for Consensus of MASs With Delays and Disturbances

Formation control with disturbance rejection for a class of Lipschitz nonlinear systems

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