Analysis of Networked Event-Based Control with a Shared Communication Medium: Part I – Pure ALOHA

Blind, Rainer; Allgöwer, Frank

doi:10.3182/20110828-6-it-1002.01100

Cited by 42 publications

(54 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our approach requires no worst-case timing analysis, which is useless for the completely non-deterministic communication, since in the worst case, the non-deterministic communication resources are not available at all. Moreover, probabilistic guarantees can be provided over such contention-based protocols [20], [21]. However, they are not helpful in safety-critical systems.…”

Section: Non-deterministic Samplesmentioning

confidence: 99%

Effectively utilizing elastic resources in networked control systems

Balszun¹,

Roy²,

Zhang³

et al. 2017

2017 IEEE 23rd International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)

View full text Add to dashboard Cite

Abstract-The rapid growth in the size and complexity of modern Cyber-Physical Systems (CPS) imposes increasing demand for the embedded resources, especially the communication resources. As a result, resource-efficient CPS design has become an important issue. Towards the design of networked embedded control systems, a major branch of CPS, reliable and deterministic communication is able to achieve satisfactory control performance. However, the amount of this type of resource that can be provided by the embedded platform is often limited. On the other hand, it is difficult to guarantee the control performance with non-deterministic communication resources, due to their unpredictable behavior. In this paper, we propose a novel control scheme to efficiently utilize elastic communication resources. In general, the non-deterministic communication resources are flexibly deployed on top of the deterministic communication resources to achieve stability and good control performance. In the rare worst-case, when non-deterministic communication is completely unavailable, the deterministic communication resources are used to guarantee stability and the control performance satisfying the design requirement. The experimental results show that the performance of the control application is ensured to satisfy the design requirement in the worst case and that better control performance is achieved when non-deterministic resources are available.

show abstract

Section: Non-deterministic Samplesmentioning

confidence: 99%

Effectively utilizing elastic resources in networked control systems

Balszun¹,

Roy²,

Zhang³

et al. 2017

2017 IEEE 23rd International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)

View full text Add to dashboard Cite

show abstract

“…Related work can be found in [2], [4], [7]- [9] that analyze the performance of event-triggered schemes in contentionbased networked control systems. Conclusions vary with the choice of the communication model.…”

Section: Introductionmentioning

confidence: 99%

Adaptive event-triggered control over a shared network

Molin

Hirche

2012

2012 IEEE 51st IEEE Conference on Decision and Control (CDC)

View full text Add to dashboard Cite

Abstract-Under many circumstances event-triggered control outperforms time-triggered control schemes when resources such as communication, computation, or energy are sparse. This paper investigates another benefit of event-triggered control concerning the ability of adaptation. The system under consideration comprises multiple heterogeneous control loops that are closed over a shared communication network. Each subsystem is modelled as a discrete-time stochastic linear system. The design problem is formulated as an average cost Markov decision process (MDP) with unknown global system parameters that are to be estimated during execution. Techniques from distributed optimization and adaptive MDPs are used to develop distributed self-regulating event-triggers that adjust their transmission rate to meet a global resource constraint. Numerical simulations show the effectiveness of the approach and illustrate the convergence properties.

show abstract

“…• A1: The network does not permit simultaneous transmissions and the transmission delay is less than one time step according to the process evolution [11], [12].…”

Section: Problem Formulationmentioning

confidence: 99%

“…Moreover, the analysis is limited to processes described by a single integrator driven by white noise. A simple ALOHA protocol is used for modeling the communication networks in [12]. Similar to [10], each loop is modeled by noisy integrator dynamics.…”

Section: Introductionmentioning

confidence: 99%

Networked State Estimation Over a Shared Communication Medium

Xia

Gupta

Antsaklis

2017

IEEE Trans. Automat. Contr.

View full text Add to dashboard Cite

Abstract-This paper considers state estimation for multiple plants across a shared communication network. Each linear time-invariant plant transmits information through the common network according to either a time-triggered or an eventtriggered rule. When the plants transmit according to an event triggered policy, every plant can access the network based on a priority mechanism. For the case when the plants access the network according to a time triggered algorithm, plant uses the network according to a round robin based off line scheduling policy. Performance in terms of the communication frequency and the estimation error covariance is analytically characterized. The main result is that for the same average communication rate, event-triggered schemes may perform worse than time-triggered schemes in terms of the resulting estimation error covariance when the effect of communication network is explicitly considered.

show abstract

Analysis of Networked Event-Based Control with a Shared Communication Medium: Part I – Pure ALOHA

Cited by 42 publications

References 5 publications

Effectively utilizing elastic resources in networked control systems

Effectively utilizing elastic resources in networked control systems

Adaptive event-triggered control over a shared network

Networked State Estimation Over a Shared Communication Medium

Contact Info

Product

Resources

About