2017
DOI: 10.1109/tcns.2015.2497100
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Communication Delay Co-Design in $\mathcal{ H}_{2}$-Distributed Control Using Atomic Norm Minimization

Abstract: When designing distributed controllers for large-scale systems, the actuation, sensing and communication architectures of the controller can no longer be taken as given. In particular, controllers implemented using dense architectures typically outperform controllers implemented using simpler ones -however, it is also desirable to minimize the cost of building the architecture used to implement a controller. The recently introduced Regularization for Design (RFD) framework poses the controller architecture/con… Show more

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Cited by 20 publications
(16 citation statements)
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References 39 publications
(159 reference statements)
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“…The regularization for design framework (RFD) was formulated to explore this tradeoff using convex programming by augmenting the objective function with a suitable convex regularizer that penalizes the use of actuators, sensors and communication links. The original RFD formulation allowed for controller architecture co-design in the Youla domain by exploiting QI properties of desirable architectures [40], [41], [54], [55], but was later ported to the localized optimal control framework [5]. Thus to integrate RFD with the system level approach, it suffices to add a suitable regularizer, as mentioned in Section IV-G3 and described in [5], [40], to the objective function of the SLS problem (36).…”
Section: Regularization For Design and Slsmentioning
confidence: 99%
“…The regularization for design framework (RFD) was formulated to explore this tradeoff using convex programming by augmenting the objective function with a suitable convex regularizer that penalizes the use of actuators, sensors and communication links. The original RFD formulation allowed for controller architecture co-design in the Youla domain by exploiting QI properties of desirable architectures [40], [41], [54], [55], but was later ported to the localized optimal control framework [5]. Thus to integrate RFD with the system level approach, it suffices to add a suitable regularizer, as mentioned in Section IV-G3 and described in [5], [40], to the objective function of the SLS problem (36).…”
Section: Regularization For Design and Slsmentioning
confidence: 99%
“…Hence, existing FPGA implementations of robotics-related algorithms do not include full visual inertial odometry, and they do not consider power efficiency as a metric in the design process. Finally, the notion of co-design have been explored in the context of robotics [39,40] and also control theory [41,42]. Our work is similar to these in spirit.…”
Section: Introductionmentioning
confidence: 85%
“…In particular, recent results have identified a broad class of distributed control problems that are convex [10], [11] and that admit solutions that are scalable to compute and implement [12]. A key feature of these results is that the control problem becomes "easy" if certain architectural requirements (often related to density of actuation, sensing and communication) are met by the controller -tractable approaches to designing such favorable architectures have also been developed [13], [14]. An important remaining challenge is to combine these results with complementary ones from network control [4].…”
Section: Additional Readingmentioning
confidence: 99%