Design of State-Based Schedulers for a Network of Control Loops

Ramesh, Chithrupa; Sandberg, Henrik; Johansson, Karl Henrik

doi:10.1109/tac.2013.2251791

Cited by 63 publications

(70 citation statements)

References 28 publications

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“…Similar results for sensing of multiple dynamical systems over an infinite horizon are obtained in [11].Formulations using a value function associated with measurements of a sensor have been considered in the context of control of dynamical systems [12]- [16] and hypothesis testing [17]. For minimization of both the final or average estimation error, myopic policies, policies which look ahead only one time-step, are shown to be optimal through the usage of a generalized information gain function under some regularity conditions [13].…”

Section: Introductionmentioning

confidence: 64%

“…, u k−1 } certainty equivalence holds. Since, our control strategy depends only onx k|k , Certainty Equivalence holds; see also [24,Theorem 3.8].…”

Section: B Estimationmentioning

confidence: 99%

“…The first and second terms in (24) are independent of the control action or scheduling and, hence, we can omit them. Thus, we consider only the last term of (24), which after substituting (19), it becomes [14, Eq.…”

Section: Resource Allocationmentioning

confidence: 99%

“…Inspired by the works of [12], [14], we analyze our setup for the LQG scenario, but unlike their approach, our work does not use current measurements. The communications resources are limited and as a result, which agents are allowed to transmit and which communication resource is allocated to each agent has to be carefully designed by a remote decision maker.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

On the resource allocation problem in wireless networked control systems

Charalambous

Özçelikkale

Zanon

et al. 2017

2017 IEEE 56th Annual Conference on Decision and Control (CDC)

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Abstract-This paper considers the scheduling problem of a decentralized system where a number of dynamical subsystems with no computational power are scheduled to transmit their measurements via a resource-limited communication network to a remote decision maker who acts as an estimator, controller and scheduler for the subsystems. We propose a new approach for communication resource allocation for a wide class of objective functions, for both coupled and decoupled systems, and for both scheduling observations as well as control commands. This framework allows to schedule over a finite horizon and can explicitly deal with stochastic channels. For decoupled subsystems, we propose the notion of cost of information loss (CoIL) and we demonstrate that the communications resource allocation problem can be directly expressed in terms of CoIL functions as an assignment-type optimization problem. Illustrative examples demonstrate how communication resources affect the performance of the system.

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Section: Introductionmentioning

confidence: 64%

“…, u k−1 } certainty equivalence holds. Since, our control strategy depends only onx k|k , Certainty Equivalence holds; see also [24,Theorem 3.8].…”

Section: B Estimationmentioning

confidence: 99%

Section: Resource Allocationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On the resource allocation problem in wireless networked control systems

Charalambous

Özçelikkale

Zanon

et al. 2017

2017 IEEE 56th Annual Conference on Decision and Control (CDC)

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“…The emerging collisions introduce coupling between the evolutions of the plants, making analysis hard. This coupling has been documented in other works considering state-dependent mechanisms for contention-based channel access [9], [10], [12], [13]. The analysis however is simplified in these works by focusing mainly on simple dynamics (e.g., scalar, identical systems) or by approximating the packet collisions imposed on one control loop from all others as i.i.d packet drops [12].…”

mentioning

confidence: 83%

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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Fault detection filter design for networked control systems with time‐varying sampling periods and packet dropouts

Wang

Xiong

2015

Adaptive Control & Signal

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This paper investigates the problem of fault detection for networked control systems under simultaneous consideration of time-varying sampling periods and packet dropouts. By taking time-varying sampling periods into consideration, a new closed-loop model for the considered networked control systems is established. The sampling period switching-based approach and the parameter uncertainty-based approach are adopted to deal with time-varying sampling periods. Based on the established model, the observer-based fault detection filter design criteria are proposed to asymptotically stabilize the residual system in the sense of mean-square. The designed observer-based fault detection filter can guarantee the sensitivity of the residual signal to faults. The simulation results illustrate the effectiveness of the obtain results.

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Design of State-Based Schedulers for a Network of Control Loops

Cited by 63 publications

References 28 publications

On the resource allocation problem in wireless networked control systems

On the resource allocation problem in wireless networked control systems

Control-Aware Random Access Communication

Fault detection filter design for networked control systems with time‐varying sampling periods and packet dropouts

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