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Quantized Fault-Tolerant Control for Descriptor Systems with Intermittent Actuator Faults, Randomly Occurring Sensor Non-Linearity, and Missing Data

Mourad Kchaou, Houssem Jerbi, Dan Ştefănoiu, Dumitru Popescu

2022Mathematics15 citationsDOIOpen Access PDF

Abstract

This paper examines the fault-tolerant control problem for discrete-time descriptor systems that are susceptible to intermittent actuator failures, nonlinear sensor data, and probability-based missing data. The discrete-time non-homogeneous Markov chain was adopted to describe the stochastic behavior of actuator faults. Moreover, Bernoulli-distributed stochastic variables with known conditional probabilities were employed to describe the practical features of random sensor non-linearity and missing data. In this study, the output signals were quantized and a dynamic output feedback controller was synthesized such that the closed-loop system was stochastically admissible and satisfied the strictly (Q,S,R)-γ-dissipative performance index. The theoretical developments are illustrated through numerical simulations of an infinite machine bus.

Topics & Concepts

Control theory (sociology)ActuatorBernoulli distributionDiscrete time and continuous timeDissipative systemBernoulli's principleMarkov chainNonlinear systemFault toleranceController (irrigation)Computer scienceControl reconfigurationLinearityMissing dataMathematicsRandom variableEngineeringControl (management)Artificial intelligenceStatisticsDistributed computingElectrical engineeringQuantum mechanicsPhysicsBiologyEmbedded systemAerospace engineeringAgronomyFault Detection and Control SystemsStability and Control of Uncertain SystemsControl Systems and Identification
Quantized Fault-Tolerant Control for Descriptor Systems with Intermittent Actuator Faults, Randomly Occurring Sensor Non-Linearity, and Missing Data | Litcius