Stability analysis of stochastic networked control systems

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Personal Sign In. For IEEE to continue sending you helpful information on our products and services, please consent to our updated Privacy Policy. Email Address. Sign In. Stability analysis of networked control systems Abstract: We introduce a novel control network protocol, try-once-discard TODfor multiple-input-multiple-output MIMO networked control systems NCSsand provide an analytic proof of global exponential stability for both the new protocol and the more commonly used statically scheduled access methods.

Our approach is to first design the controller using established techniques and considering the network transparency, and then analyze the effect of the network on closed-loop system performance.

stability analysis of stochastic networked control systems

When implemented, an NCS consists of multiple independent sensors and actuators competing for an access to the network, with no universal clock available to synchronize their actions.

Since the nodes act asynchronously, we allow access to the network at anytime, but assume each access occurs before a prescribed deadline, known as the maximum allowable transfer interval. Only one node may access the network at a time. This communication constraint imposed by the network is the main focus of the paper. The performance of the new TOD protocol and the statically scheduled protocols are examined in simulations of an automotive gas turbine and an unstable batch reactor.

Article :. Date of Publication: 07 August DOI: Need Help?Skip to Main Content.

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stability analysis of stochastic networked control systems

Email Address. Sign In. Analysis of Stochastic Switched Systems With Application to Networked Control Under Jamming Attacks Abstract: We investigate the stability problem for discrete-time stochastic switched linear systems under the specific scenarios where information about the switching patterns and the probability of switches are not available.

Our analysis focuses on the average number of times each mode becomes active in the long run and, in particular, utilizes their lower and upper bounds. This setup is motivated by cyber security issues for networked control systems in the presence of packet losses due to malicious jamming attacks where the attacker's strategy is not known a priori.

We derive a sufficient condition for almost sure asymptotic stability of the switched systems that can be examined by solving a linear programming problem. Our approach exploits the dynamics of an equivalent system that describes the evolution of the switched system's state at every few steps; the stability analysis may become less conservative by increasing the step size.

The computational efficiency is further enhanced by exploiting the structure in the stability analysis problem, and we introduce an alternative linear programming problem that has fewer variables. We demonstrate the efficacy of our results by analyzing networked control problems where communication channels face random packet losses as well as jamming attacks.

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stability analysis of stochastic networked control systems

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Stability analysis of stochastic Networked Control Systems. Donkers, M. Abstract In this paper, we study the stability of Networked Control Systems NCSs that are subject to time-varying transmission intervals, time-varying transmission delays, packet-dropouts and communication constraints. Communication constraints impose that, per transmission, only one sensor or actuator node can access the network and send its information.

Which node is given access to the network at a transmission time is orchestrated by a so-called network protocol.

stability analysis of stochastic networked control systems

This paper considers NCSs, in which the transmission intervals and transmission delays are described by a random process, having a continuous probability density function PDF. By focussing on linear plants and controllers and periodic and quadratic protocols, we present a modelling framework for NCSs based on stochastic discrete-time switched linear systems.

Stability in the mean-square of these systems is analysed using convex overapproximations and a finite number of linear matrix inequalities. On a benchmark example of a batch reactor, we illustrated the effectiveness of the developed theory. Authors Close. Assign yourself or invite other person as author.

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