Optimal stopping for event-triggered sensing and actuation

Rabi, Maben; Johansson, Karl H.; Johansson, Mikael

doi:10.1109/cdc.2008.4739489

Cited by 78 publications

(61 citation statements)

References 10 publications

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“…Since our goal is allowing more agents into the system without increasing the computational cost, an event-driven approach seems more suitable. Stochastic event-driven strategies have appeared in [10], [11]. Similar results on deterministic event-triggered feedback control have appeared in [12]- [14].…”

Section: Introductionsupporting

confidence: 54%

Distributed event-triggered control strategies for multi-agent systems

Dimarogonas

2009

2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton)

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Abstract-Event-driven strategies for distributed multi-agent systems are motivated by the future use of embedded microprocessors with limited resources that will gather information and actuate the individual agent controller updates. The eventdriven control actuation updates considered in this paper are distributed, in the sense that agents require knowledge only of the states of their neighbors for the controller implementation. The proposed distributed strategy is compared with an earlier approach.

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Section: Introductionsupporting

confidence: 54%

Distributed event-triggered control strategies for multi-agent systems

Dimarogonas

2009

2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton)

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“…The choice for this cost function is inspired by related work for estimation problems with limited communication capabilities [6], [7]. In [8], [9], optimal event-triggered controllers are obtained, when limiting the number of transmissions for a finite interval and restricting the controller to be time-invariant. Other related results appear in [10], [11], which consider discrete-time systems with a hard constraint on the number of transmissions.…”

Section: Introductionmentioning

confidence: 99%

Structural characterization of optimal event-based controllers for linear stochastic systems

Molin

Hirche

2010

49th IEEE Conference on Decision and Control (CDC)

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Abstract-Recent results in networked control systems indicate substantial benefits of event-based control compared to conventional designs. This paper identifies structural properties of optimal event-based controllers designed for stochastic linear systems. The controller is updated by measurements that are sent over a resource-constrained communication channel. The timings for sending updates are determined by an event-trigger whose decisions are based on noisy measurements. The objective is to design event-triggering mechanisms and controllers that optimally meet a trade-off between control performance and average number of update transmissions. It is shown that the optimal controller is a certainty equivalence controller with an affine linear estimator. The optimal event-trigger consists of a Kalman state estimator and a copy of the state predictor at the controller. The difference between both estimates determines, whether to trigger an update transmission. Numerical simulations illustrate the obtained results.

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“…Since the transmission instants are adapted to the current system state, this may lead to a significant reduction in the amount of communication via the network as shown in e.g. [11], [8], [90], [25], [56], [88].…”

Section: Event-triggering Mechanismmentioning

confidence: 99%