A two-layer transformation for characterizing the zeros of a network input-output dynamics

Torres, Jackeline Abad; Roy, Sandip

doi:10.1109/cdc.2015.7402343

Cited by 7 publications

(2 citation statements)

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“…In previous works, [14][15][16][17][18] finite-and infinite zeros of a SISO or MIMO channel of interest in diffusive network models has been characterized from a graph-theoretic and structural perspective. Two relationships between a network's native graph topology and the zeros of an input-output channel are briefly reviewed, 17,18 because they are a basis for the analysis of controlled networks.…”

Section: Native Graph Structure and Zeros: Reviewmentioning

confidence: 99%

“…[11][12][13] Particularly relevant to our effort here, graph-theoretic characterizations of the input-output structure of networks, as codified in the finite-and infinite-zeros of a channel transfer function, have been developed for diffusive network models. [14][15][16][17][18][19][20] Input-output properties have also been considered in the context of malicious control in the electric power grid, 21 and constrained resource optimization to curtail spreads in networks, 5 among other applications.…”

Section: Introductionmentioning

confidence: 99%

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Control‐channel interactions in diffusive dynamical networks: A graph‐theoretic perspective

Koorehdavoudi

Roy

Torres

et al. 2020

Intl J Robust & Nonlinear

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Control-channel interactions in a linear diffusive network model are studied, with the aim of determining the role of the network's topology in such interactions. Specifically, the influence of a built controller on the infinite and finite zero structure of a second control channel is characterized. The analysis shows how the network's graph topology, the relative positions of the two channels, and the architecture of the built controller influence the zero structure of the second control channel. Further, the influence of low or high gain controller designs on remote channels is examined. The analyses demonstrate that some control architectures and positions can introduce undesirable nonminimum-phase dynamics at remote locations, while others are guaranteed to maintain or promote minimum-phase dynamics.

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Section: Native Graph Structure and Zeros: Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Control‐channel interactions in diffusive dynamical networks: A graph‐theoretic perspective

Koorehdavoudi

Roy

Torres

et al. 2020

Intl J Robust & Nonlinear

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Local open‐ and closed‐loop manipulation of multiagent networks

Sahabandu

Torres

Dhal³

et al. 2018

Intl J Robust & Nonlinear

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The manipulation of networked cyberphysical devices via local external actuation or feedback control is explored, in the context of a canonical multiagent dynamical system that is engaged in a consensus or synchronization task. One main focus is to understand whether or not, and how easily, a stakeholder can manipulate the full network's dynamics by hijacking only one agent's actuation signal. Explicit spectral characterizations are given of the energy (effort) required to manipulate the dynamics. These characterizations are used to (1) gain structural insights into ease of manipulation, (2) show that manipulation along the consensus manifold is easy, and (3) address network design to enable or prevent manipulation. Additionally, it is shown that the multiagent system can be manipulated effectively along the consensus manifold using local feedback controls, which do not require model knowledge or wide-area measurements.SAHABANDU ET AL. topology among the network's components. Thus, local actions in a CPN incur patterned wide-area impacts, regardless of the specifics of the local action or the network dynamics. In this work, we seek to understand whether and how local actuations can be designed to manipulate the network's wide-area behavior and to evaluate extreme impacts (whether beneficial or harmful). To do this, we consider a linear double-integrator network (DIN) model, which serves as a common abstraction for a number of CPN processes defined on a graph (eg, vehicle traffic on a highway, formation-controlled aerial vehicle teams, linearized swing dynamics of the electric power grid, and certain sensor-network algorithms). [6][7][8] This article explores the manipulation of the DIN via external actuation or feedback control at a single agent. First, we study whether or not the actuation signal for an agent can be designed to move the network's state to an arbitrary value and also the actuation effort (energy) required for manipulation. Characterizations are obtained in terms of the network's coupling parameters and the location of the manipulated agent. As a comparison, manipulation via a local feedback control is also considered, wherein only local measurements are used to decide the additional actuation of the agent. This is done by analyzing the transfer function of the dynamics from the perspective of the control channel, which then indicates whether or not the system can be manipulated to achieve certain control objectives (eg, fast tracking or disturbance rejection) in a feedback setting.The research described here contributes to an important research thrust on the security of cyberphysical systems (CPSs), which is a key property required for their effective operation (eg, the work of Banerjee et al 9 ). CPS security encompasses security of information, ie, the protection of sensitive or private information that is held by the CPS. In complement, CPS security also encompasses functional security, ie, protection of CPS functions from attacks and failures. The need for functional security for CPS is pa...

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Input-Output Properties of the Swing Dynamics for Power Transmission Networks with HVDC Modulation

Koorehdavoudi

Roy

Prevost³

et al. 2017

IFAC-PapersOnLine

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A two-layer transformation for characterizing the zeros of a network input-output dynamics

Cited by 7 publications

References 25 publications

Control‐channel interactions in diffusive dynamical networks: A graph‐theoretic perspective

Control‐channel interactions in diffusive dynamical networks: A graph‐theoretic perspective

Local open‐ and closed‐loop manipulation of multiagent networks

Input-Output Properties of the Swing Dynamics for Power Transmission Networks with HVDC Modulation

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