Decentralized control: Status and outlook

Bakule, Lubomı́r

doi:10.1016/j.arcontrol.2014.03.007

Cited by 85 publications

(43 citation statements)

References 52 publications

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“…where (2) , ikj (3) , ikj (4) are given by (18). By using Schur complement lemma on (17), it is easy to see from (26) that the inequality (17) implies E { V (t)} < 0 when w i (t) ≡ 0.…”

Section: Lemma 1 Given the Fuzzy System In (3) And Distributed Piecementioning

confidence: 99%

“…The decentralized control is firstly to partition the overall control problem of a large-scale system into several independent or almost independent subproblems. Then, instead of a single controller, a set of independent controllers can be designed to achieve the overall control of large-scale system [4]. However, the decentralized control strategy appears weaker stability margins and performance, especially when the interconnections among subsystems are *Correspondence: zhixiongzhong2012@126.com High-voltage Key Laboratory of Fujian Province, Xiamen University of Technology, Xiamen 361024, People's Republic of China strong [5].…”

Section: Introductionmentioning

confidence: 99%

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Distributed piecewise filtering design for large-scale networked nonlinear systems

Shao

Chen

2016

EURASIP J. Adv. Signal Process.

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This paper investigates the problem of distributed piecewise H ∞ filtering for discrete-time large-scale nonlinear systems. The considered large-scale system is composed of a number of nonlinear subsystems and exchanges its information through communication network. Each nonlinear subsystem is described by a Takagi-Sugeno (T-S) model, and data-packet dropouts happen intermittently in communication network, and its stochastic variables are assumed to satisfy the Bernoulli random-binary distribution. Our objective is to design a distributed piecewise filter such that the filtering error system is stochastically stable with an H ∞ performance. Based on a piecewise Lyapunov function and some convexifying techniques, less conservative results are developed for the distributed piecewise H ∞ filtering design of the considered system in the form of linear matrix inequalities (LMIs). The effectiveness of the proposed method is validated by two examples.

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“…where (2) , ikj (3) , ikj (4) are given by (18). By using Schur complement lemma on (17), it is easy to see from (26) that the inequality (17) implies E { V (t)} < 0 when w i (t) ≡ 0.…”

Section: Lemma 1 Given the Fuzzy System In (3) And Distributed Piecementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Distributed piecewise filtering design for large-scale networked nonlinear systems

Shao

Chen

2016

EURASIP J. Adv. Signal Process.

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“…Knowledge sharing runs in the same mode. This brings additional advantages: a) nodes may follow individual aims and the network will (hopefully) stabilises at an acceptable compromise, b) design costs, which strongly limit top down decomposition of large scale problems into distributed solutions [7], [8], are low and do not limit scalability, c) designed controllers are randomised and naturally explorative, d) hierarchical solutions, possibly in pinning control style, can be simply created via set-point control of (selected) nodes. This paper primarily proposes an adaptive controller applicable to each node.…”

Section: Introductionmentioning

confidence: 99%

Scalable Harmonization of Complex Networks With Local Adaptive Controllers

Kárný

Herzallah

2017

IEEE Trans. Syst. Man Cybern, Syst.

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Abstract-Computational and communication complexities call for distributed, robust, and adaptive control. This paper proposes a promising way of bottom up design of distributed control in which simple controllers are responsible for individual nodes. The overall behaviour of the network can be achieved by interconnecting such controlled loops in cascade control for example, and by enabling the individual nodes to share information about data with their neighbours without aiming at unattainable global solution. The problem is addressed by employing a fully probabilistic design, which can cope with inherent uncertainties, that can be implemented adaptively and which provide a systematic rich way to information sharing. The paper elaborates the overall solution, applies it to linear-Gaussian case and provides simulation results.

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“…For the large-scale systems with coupling, considering that the centralized control requires faster computers with larger memory to implement excessive information processing, currently the decentralized control has attracted considerable interest in the field of large-scale systems. Instead of developing a single controller, a cluster of controllers, which are mutually independent, can be designed to execute the overall control task [37]. Unfortunately, the decentralized control policy expresses the weaker stabilizing ability, particularly when the degree of interconnections among subsystems is very strong [38].…”

Section: Introductionmentioning

confidence: 99%

Asynchronous Piecewise Output-Feedback Control for Large-Scale Fuzzy Systems via Distributed Event-Triggering Schemes

Zhong

Zhu

Lam

2018

IEEE Trans. Fuzzy Syst.

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Abstract-This paper examines the problem of distributed event-triggering output-feedback control for discrete-time largescale fuzzy systems in the network scenario. A novel distributed event-triggering control scheme is proposed, where each subsystem transmits its output information and premise variables only when its local output error exceeds a specified threshold. The resulting closed-loop fuzzy control system subject to nonsynchronous grades of membership, is explored under such circumstances. In virtue of a piecewise Lyapunov function together with some matrix inequality convexification techniques, the solution to the distributed event-triggering output-feedback control problem is derived in the form of linear matrix inequalities. It will be shown that the closed-loop control system is asymptotically stable while significantly reducing the communications via networks. Finally, a direct current (DC) microgrid with solar photovoltaic arrays is utilized to illustrate the validity and practicability of the proposed results.Index Terms-Large-scale fuzzy systems, distributed eventtriggering control, asynchronous piecewise design.

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Decentralized control: Status and outlook

Cited by 85 publications

References 52 publications

Distributed piecewise filtering design for large-scale networked nonlinear systems

Distributed piecewise filtering design for large-scale networked nonlinear systems

Scalable Harmonization of Complex Networks With Local Adaptive Controllers

Asynchronous Piecewise Output-Feedback Control for Large-Scale Fuzzy Systems via Distributed Event-Triggering Schemes

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