Joint optimization of communication rates and linear systems

Xiao, Lin; Johansson, Moa; Hindi, H.; Boyd, Stephen; Goldsmith, Andrea

doi:10.1109/cdc.2001.980606

Cited by 43 publications

(53 citation statements)

References 14 publications

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“…Works like [52]- [54] combine data rate and quantization with performance optimization and dealing with packet drops. A holistic view of network parameters including the placement of controller functionality has been studied in [55], [56].…”

Section: Control and Communication Co-designmentioning

confidence: 99%

Real-Time Cooperative Communication for Automation Over Wireless

Swamy

Suri

Rigge

et al. 2017

IEEE Trans. Wireless Commun.

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High-performance industrial automation systems rely on tens of simultaneously active sensors and actuators and have stringent communication latency and reliability requirements. Current wireless technologies like WiFi, Bluetooth, and LTE are unable to meet these requirements, forcing the use of wired communication in industrial control systems. This paper introduces a wireless communication protocol that capitalizes on multiuser diversity and cooperative communication to achieve the ultrareliability with a low-latency constraint.Our protocol is analyzed using the communication-theoretic delay-limited-capacity framework and compared to baseline schemes that primarily exploit frequency diversity. For a scenario inspired by an industrial printing application with thirty nodes in the control loop, 20B messages transmitted between pairs of nodes and a cycle time of 2 ms, an idealized protocol can achieve a cycle failure probability (probability that any packet in a cycle is not successfully delivered) lower than 10´9 with nominal SNR below 5 dB in a 20MHz wide channel.

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Section: Control and Communication Co-designmentioning

confidence: 99%

Real-Time Cooperative Communication for Automation Over Wireless

Swamy

Suri

Rigge

et al. 2017

IEEE Trans. Wireless Commun.

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“…This problem is in general not convex, but can be solved heuristically in a way that exploits the special structure of the communication resource allocation problems. Numerical examples show that our approach of jointly optimizing both the system and communication resources can have very significant benefits over the traditional approach [2].…”

Section: Research Area 1: Controlling Systems Over Networkmentioning

confidence: 99%

“…The time derivative of the PDE is handled by the method of lines: the value of the level set function J at each node is treated as an ODE dJ dt =Ĥ, withĤ given by (2). General ODE solvers, such as Runge-Kutta (RK) schemes, can then be applied.…”

Section: Continuous Reachability Using Level Setsmentioning

confidence: 99%

Software Enabled Control. Design of Hierarchical, Hybrid Systems

Tomlin¹

2005

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“…In existing contributions, fundamental results are developed by abstracting the network only in terms of packet losses and time delays, whereas the essential aspect of energy consumption is not considered, and the typical dynamics of network protocols are not taken into account. The idea of adapting communication parameters to the requirements of the controllers is not new, but most of the existing papers are concerned with adaptation of physical layer parameters, including the modulation formats, the radio powers, transmit rates, and Shannon capacity, e.g., [9] - [11], which cannot be adapted by the IEEE 802.15.4 protocol. Some adaptation is possible at the medium access control layer, which however has some strict rules that make it difficult to transmit packets at desired times.…”

Section: Introductionmentioning

confidence: 99%

Adaptive self-triggered control over IEEE 802.15.4 networks

Tiberi

Fischione

Johansson

et al. 2010

49th IEEE Conference on Decision and Control (CDC)

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Abstract-The communication protocol IEEE 802.15.4 is becoming pervasive for low power and low data rate wireless sensor networks (WSNs) applications, including control and automation. Nevertheless, there is not yet any adequate study about control systems networked by this protocol. In this paper, the stability of IEEE 802.15.4 networked control systems (NCSs) is addressed. While in recent works fundamental results are developed for networks that are abstracted only in terms of packet loss and time delays, here the constraints imposed by the protocol to the feedback channel and the network energy consumption are explicitly considered. A general analysis for linear systems with parameter uncertainty and external bounded disturbances with control loops closed over IEEE 802.15.4 networks is proposed. To reduce the number of transmissions and thus save energy, a self-triggered control strategy is used. A sufficient stability condition is given as function of both the protocol and control parameters. A decentralized algorithm to adapt jointly the self-triggered control and the protocol parameters is proposed. It is concluded that stability is not always guaranteed unless protocol parameters are appropriately tuned, and that event-triggered control strategies may be difficult to use with the current version of IEEE 802.15.4.

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Joint optimization of communication rates and linear systems

Cited by 43 publications

References 14 publications

Real-Time Cooperative Communication for Automation Over Wireless

Real-Time Cooperative Communication for Automation Over Wireless

Software Enabled Control. Design of Hierarchical, Hybrid Systems

Adaptive self-triggered control over IEEE 802.15.4 networks

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