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Reliability against controller failure is considered.
as well as structural faults (sensor failure, controller failure, etc).
Various fault scenarios such as external disturbances, sensor bias, controller failure, etc. have been thoroughly analyzed.
This paper is concerned with the distributed stabilization of large-scale systems with gain variation and controller failure.
To be honest, hard drive or RAID controller failure is not completely unexpected for an aging machine with aging hard drives (the server easily predates all of current staff, so we don't know exactly how old).
Soft constraints and penalty functions are commonly used in MPC to ensure that the optimization problem has a feasible solution, and thereby avoid MPC controller failure.
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Asymptotic reliability analysis and simulation results show that HRAIDk/ℓ with ℓ>k provides a higher reliability when SN failures are due to disk rather than controller failures.
For stability, by using a piecewise Lyapunov function, we show that if the unavailability rate of the controller is smaller than a specified constant and the average time interval between controller failures (ATBCF) is large enough, then global exponential stability of the system is guaranteed.
Our experimental results have shown that the proposed approach has been able to discover a relevant number of controller failures that might impact negatively on the resilience of the self-adaptive system.
For this network, the controller saturated while attempting to clamp network firing at 10 Hz/unit, resulting in a control failure (grey trace).
However, the scalability (responsible for hundreds of data plane elements), reliability (what if a controller in failure), security (executing the network functions in this virtualized multi-tenant environment) and consistency (ensure consistency between controllers) issues should be taken into account.
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