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Fault-tolerant predictive control for Markov Linear Systems | IEEE Conference Publication | IEEE Xplore

Fault-tolerant predictive control for Markov Linear Systems


Abstract:

This work considers fault-tolerant control (FTC) for discrete-time Markov Jump Linear System (MJLS) subject to constraints on the state an control variables. The objectiv...Show More

Abstract:

This work considers fault-tolerant control (FTC) for discrete-time Markov Jump Linear System (MJLS) subject to constraints on the state an control variables. The objective is to design a control law which depends on the jump variable, minimizing an average quadratic function. Improving over previous MJLS literature, input and state constraints are enforced. The initial condition of the system and the transition probability of the Markov chain are available to the controller at each instant of time. Concepts arising from the receding horizon framework and invariant set theory are incorporated in a constrained fault-tolerant predictive control approach.
Date of Conference: 22-24 May 2014
Date Added to IEEE Xplore: 17 July 2014
ISBN Information:
Conference Location: Cluj-Napoca, Romania

References

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