Stability and Stabilization of Networked Control Systems

Heemels, W.P.M.H.; Wouw, van de N Nathan

doi:10.1007/978-0-85729-033-5_7

Cited by 53 publications

(55 citation statements)

References 90 publications

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“…The main control design techniques in the literature are: emulation, co-design, and direct discrete-time. We briefly present these techniques in the following and we refer the reader to [46], [12] for more detailed explanation and literature review.…”

Section: Control Design Approachesmentioning

confidence: 99%

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Output Feedback Event-Triggered Control

Abdelrahim

Daafouz

Nešić

2016

Delays and Networked Control Systems

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Section: Control Design Approachesmentioning

confidence: 99%

“…[80]. Therefore, most existing results on this design strategy are dedicated to linear systems [46].…”

Section: Direct Discrete-timementioning

confidence: 99%

Output Feedback Event-Triggered Control

Abdelrahim

Daafouz

Nešić

2016

Delays and Networked Control Systems

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“…[32,33,34] and references therein). In this paper, taking into account that NCSs can be tackled as switching systems [35], the stability problem will be analyzed on the basis of switching systems -refer to [36,37] for some advantages of this treatment.…”

Section: Stability Analysismentioning

confidence: 99%

Adaptive gain-order fractional control for network-based applications

Tejado

HosseinNia

Vinagre

2014

fcaa

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This paper deals with the application of adaptive fractional order control to networked control systems (NCSs) to compensate the effects of timevarying network-induced delays. In essence, it adapts both the gains and the orders of a local PI α D μ controller in accordance with the current network condition in order to avoid a decreased control performance. A frequency domain framework is provided to analyze the system stability on the basis of the switching systems theory. The velocity control of a servomotor through the Internet is given to show the effectiveness of the proposed adaptive controller, including a comparison with non-and gain scheduled controllers.MSC 2010 : 93C40, 93D99

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“…A dynamic policy schedules transmissions of the nodes in this case based on the online information. Because of the coexistence of these two scheduling rules, available results on the stabilization of NCS in [1], [7], [9] are not directly applicable.…”

Section: Introductionmentioning

confidence: 99%

Emulated controller design for networked control systems implemented on FlexRay

Wang

Nešić

2014

53rd IEEE Conference on Decision and Control

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Abstract-We design stabilizing controllers for nonlinear networked control systems (NCS) whose transmissions are scheduled by FlexRay. FlexRay protocol has been developed by the automotive industry to provide high bandwidth and deterministic communications. It works with communication cycles which consist of a static segment and a dynamic segment during which different scheduling rules are employed. We generalize existing emulated controller designs to be applicable to NCS with FlexRay. We start from a feedback law which stabilizes the origin of the plant when there is no network. We then present a novel hybrid model of the closed-loop system when the controller is implemented over a network scheduled by FlexRay. Afterwards, we provide conditions on the network under which the stability of the NCS is ensured. In particular, we consider segments of arbitrary lengths and we provide segment-dependent maximal allowable transmission interval bounds. The analysis relies on the construction of a new hybrid Lyapunov function. We believe that this work demonstrates the flexibility of the emulation approach and that it can be used to investigate other control problems for NCS with switched protocols. I. INTRODUCTIONNetworked control systems (NCS) are systems which integrate computer networks into the control loops. The communication constraints induced by the network must be carefully taken into account when designing the controller for NCS. A common approach for the stabilization of NCS is emulation. The idea is to design a controller that stabilizes the plant in the absence of communication constraints, to implement the controller over the network and then to give conditions on the communication channel under which the stability of the NCS is preserved, see [1], [9], [13] for example. The emulation approach provides great freedom in the choice of continuous-time design tools and pertains to a large class of nonlinear NCS. On the other hand, the mathematical models of NCS are sometimes hard to relate to real physical networks. In this paper, we address this gap by tailoring emulation results so that they are applicable to NCS with FlexRay [3]. We need for that purpose to solve non-trivial technical issues notably in terms of modeling and Lyapunov analysis.

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Stability and Stabilization of Networked Control Systems

Cited by 53 publications

References 90 publications

Output Feedback Event-Triggered Control

Output Feedback Event-Triggered Control

Adaptive gain-order fractional control for network-based applications

Emulated controller design for networked control systems implemented on FlexRay

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