Opportunistic Control Over Shared Wireless Channels

Gatsis, Konstantinos; Pajić, Miroslav; Ribeiro, Alejandro; Pappas, George J.

doi:10.1109/tac.2015.2416922

Cited by 110 publications

(85 citation statements)

References 28 publications

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“…Note that the policies we consider by (6) for any sensor ∕ = are functions , = ( , , , ) of their respective states. Since , equals , + , and the disturbances are independent among systems by assumption, we get that the second term in (15) …”

Section: Theorem 1 Consider Systems Of the Form (2) Over A Shared Wimentioning

confidence: 99%

Control-Aware Random Access Communication

Gatsis¹,

Ribeiro²,

Pappas³

2016

2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS)

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In modern control applications multiple wireless sensors need to efficiently share the available wireless medium to communicate with their respective actuators. Random access policies, where each sensor independently decides whether to access the shared wireless medium, are attractive as they do not require central coordination. However interference between simultaneous transmissions causes transmitted packets to collide, leading to control performance degradation or potentially instability. Given plant and controller dynamics, we derive a sufficient condition for the access policy employed by each sensor so that wireless interference does not violate stability of any involved control loop. Based on this decoupling condition we design random access communication policies that are control-aware by adapting to the physical plant states measured by the sensors online. The control performance of our design is illustrated in numerical simulations.

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Section: Theorem 1 Consider Systems Of the Form (2) Over A Shared Wimentioning

confidence: 99%

Control-Aware Random Access Communication

Gatsis¹,

Ribeiro²,

Pappas³

2016

2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS)

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“…Since the communication channel is limited, the authors in [71] addressed the event-triggered estimation and control for teleoperation systems. In [72], the authors consider a wireless control system comprising of multiple control loops, which are implemented over a shared wireless medium. A scheduler is designed to allocate non-overlapping frequencies to different control loops in order to meet stability requirement of control systems.…”

Section: B State Of the Artmentioning

confidence: 99%

A comprehensive overview of cyber-physical systems: from perspective of feedback system

Guan

Yang

Chen

et al. 2016

IEEE/CAA J. Autom. Sinica

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Cyber-physical systems (CPS) are characterized by integrating cybernetic and physical processes. The theories and applications of CPS face the enormous challenges. The aim of this paper is to provide a latest understanding of this emerging multi-disciplinary methodology. First, the features of CPS are described, and the research progresses are summarized from different components in CPS, such as system modeling, information acquisition, communication, control and security. Each part is also followed by the future directions. Then some typical applications are given to show the prospects of CPS.

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“…In such modeled-based approaches one can characterize, for example, that it is impossible to estimate or stabilize an unstable plant if its growth rate is larger than the rate at which the link drops packets [22,34,36], or below a certain channel capacity [33,38]. Models also facilitate the allocation of communication resources to optimize control performance in, e.g., power allocation and scheduling over fading channels [16,18,30], or in event-triggered control [4,26,27].…”

Section: Introductionmentioning

confidence: 99%

Sample Complexity of Networked Control Systems Over Unknown Channels

Gatsis

Pappas

2018

2018 IEEE Conference on Decision and Control (CDC)

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Recent control trends are increasingly relying on communication networks and wireless channels to close the loop for Internetof-Things applications. Traditionally these approaches are model-based, i.e., assuming a network or channel model they are focused on stability analysis and appropriate controller designs. However the availability of such wireless channel modeling is fundamentally challenging in practice as channels are typically unknown a priori and only available through data samples. In this work we aim to develop algorithms that rely on channel sample data to determine the stability and performance of networked control tasks. In this regard our work is the first to characterize the amount of channel modeling that is required to answer such a question. Specifically we examine how many channel data samples are required in order to answer with high confidence whether a given networked control system is stable or not. This analysis is based on the notion of sample complexity from the learning literature and is facilitated by concentration inequalities. Moreover we establish a direct relation between the sample complexity and the networked system stability margin, i.e., the underlying packet success rate of the channel and the spectral radius of the dynamics of the control system. This illustrates that it becomes impractical to verify stability under a large range of plant and channel configurations. We validate our theoretical results in numerical simulations.

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Opportunistic Control Over Shared Wireless Channels

Cited by 110 publications

References 28 publications

Control-Aware Random Access Communication

Control-Aware Random Access Communication

A comprehensive overview of cyber-physical systems: from perspective of feedback system

Sample Complexity of Networked Control Systems Over Unknown Channels

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