Christophe Aubrun

Christophe Aubrun
University of Lorraine | UdL · CRAN - Centre de Recherche en Automatique de Nancy

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152
Publications
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1,323
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Publications

Publications (152)
Article
Linear parameter varying (LPV) models are being increasingly used as a bridge between linear and nonlinear models. From a mathematical point of view, a large class of nonlinear models can be rewritten in LPV or quasi-LPV forms easing their analysis. From a practical point of view, that kind of model can be used for introducing varying model paramet...
Article
In this paper seminal approaches for FDI introduced by Frank (Frank, 1990) are revisited in a bilinear setting. The proposed developments, including Fault Tolerant Control (Noura et al, 2000) are applied to Building Heating Ventilation and Air Conditioning (HVAC) systems. That is, the control system parameters and objective functions are adapted/re...
Article
In order to keep wind turbines connected and in operation at all times despite the occurrence of some faults, advanced fault detection and accommodation schemes are required. To achieve this goal, this paper proposes to use the Linear Parameter Varying approach to design an Active Fault Tolerant Control for wind turbines. This Active Fault Tolerant...
Preprint
In several model-based system maintenance problems, parameters are used to represent unknown characteristics of a component, equipment degradation, etc. This allows for modelling constant, slow-varying terms. The identifiability of these parameters is an important condition to estimate them. Linear Parameter Varying (LPV) models are being increasin...
Chapter
This work studies the problem of fault detection and estimation using a Fast Adaptive Observer algorithm and it introduces then a procedure for the design of reconfigurable linear quadratic (LQ) state-feedback control tolerant to actuator fault. Then, to overcome the drawback of wheeled mobile robot’s model responses when including a fault, a Fast...
Chapter
This work presents a method to increased the fault detection accuracy in wind turbine system using a combination of Wavelet, Principal Component Analysis (PCA), Parseval’s theorem and Neural Networks. Preprocessing, feature extraction and classification rules are three crucial issues for fault detection. To employ this issues, a two stages hybrid a...
Article
Full-text available
We discuss a design approach for nonlinear discrete-time adaptive observer. This involves transforming a nonlinear system into a quasi-LPV (Linear Parameter Varying) polytopic model in Takagi-Sugeno (T-S) form using nonlinear embedding and sector nonlinearity (SNL) transformation. We then develop a discrete-time counterpart for a joint state and pa...
Article
Full-text available
Wheeled mobile robots (WMRs) are of great importance. Therefore, it is necessary to make sure that they are not defected. But, in case of failures, the diagnosis task is very important to predict then solve the problem. The most useful techniques in diagnosis are observers which are based on the observability of the monitored system that is not usu...
Article
The paper deals with the problem of simultaneous estimation of sensor and process faults. For that purpose, a novel scheme is proposed and its complete design procedure is described. The approach results in a robust estimation strategy with guaranteed convergence. In particular, apart from simultaneous estimation ability the proposed approach makes...
Conference Paper
Full-text available
Takagi-Sugeno (T-S) type of polytopic models have been used prominently in the literature to analyze nonlinear systems. With the sector nonlinearity approach, an exact representation of a nonlinear system within a sector could be obtained in a T-S form. Hence, a number of observer design strategies have been proposed for nonlinear systems using the...
Article
Takagi-Sugeno (T-S) type of polytopic models have been used prominently in the literature to analyze nonlinear systems. With the sector nonlinearity approach, an exact representation of a nonlinear system within a sector could be obtained in a T-S form. Hence, a number of observer design strategies have been proposed for nonlinear systems using the...
Article
Presents information on the Third International Conference on Control and Fault-Tolerant Systems.
Article
Full-text available
Takagi-Sugeno (T-S) models have been popular in analyzing nonlinear systems. Observer designs for T-S models have focused on both cases with measured and unmeasured premise variables. However, the unmeasured premise variables have to be one of the states of the system. If one of the inputs is a premise variable, these approaches are not applicable....
Article
In order to keep away wind turbines from catastrophic conditions due to sudden breakdowns, it is important to detect faults as soon as possible. For diagnosis, a model-based approach is chosen. There are many works that use this fault detection design, but the majority of them consider this system as a linear time invariant (LTI) model. The objecti...
Conference Paper
Variable Air Volume (VAV) based Heating Ventilation and Air Conditioning (HVAC) systems are common in large non-residential buildings. The dynamic model of a VAV system along with the Air Handling Unit (AHU) and the zones has a nonlinear characteristic. In this paper, a nonlinear model based joint state and parameter observer is proposed to estimat...
Conference Paper
Stochastic stabilization of discrete-time inhomogeneous Markov jump linear system is addressed for the case of transition probability matrix considered as an interval matrix. The approach involves representing the interval transition probability matrix as a convex combination of stochastic matrices, where stochastic stabilization can be addressed u...
Conference Paper
A receding horizon control of discrete-time Markov jump linear systems with additive Gaussian measurement and process noise, and stochastic constraints is addressed. Given the availability of the underlying jump parameter, recursive equations for optimal state estimation that resemble Kalman filter equations are provided. The receding horizon contr...
Conference Paper
Air Handling Units (AHU) are responsible for efficiently transferring the energy produced for heating or cooling to the occupant area in the building. This energy transfer dynamics is modeled as a bilinear system. Such a structure poses problems to develop observers either with asymptotically vanishing error or with guaranteed error bounds. Takagi-...
Article
The paper is devoted to the problem of the robust actuator fault diagnosis of the dynamic non-linear systems. In the proposed method, it is assumed that the diagnosed system can be modelled by the recurrent neural network, which can be transformed into the linear parameter varying form. Such a system description allows developing the designing sche...
Article
Full-text available
In this paper, monitoring and diagnosis of a new generation of train door mechatronic system is proposed. Bond Graph methodology is applied to obtain a reference model. In addition to this reference model, a global model based-FDI (Fault Diagnostic and Isolation) is developed for the generation of fault indicators and residual thresholds in presenc...
Article
Full-text available
The paper deals with the problem of robust predictive fault-tolerant control for nonlinear discrete-time systems described by the Takagi-Sugeno models. The proposed approach is based on a triple stage procedure, i.e. it starts from fault estimation while the fault is compensated with a robust controller. The robust controller is designed without ta...
Conference Paper
In this paper, we present a fault detection approach of a linear parameter varying (LPV) system using residuals generator based on the use of the predictor based LPV subspace identification approach (LPV PBSID). To address this problem of fault detection in the pitch subsystem considered in the wind turbine benchmark introduced in IFAC SAFEPROCESS...
Article
In this article, we consider a continuous-time state-dependent jump linear system (SDJLS), a kind of stochastic hybrid system, with the presence of uncertainties in system parameters. In SDJLS, we consider that the transition rates of the underlying random jump process depend on the state variable. In particular, we assume the transition rates to h...
Conference Paper
In this paper, fault adaptive control is developed for building Heating Ventilation and Air Conditioning (HVAC) systems. That is, the control system parameters and objective functions are adapted/reconfigured in the presence of a fault or performance deviation by means of an intermediate reconfigurable control layer. It allows maintaining building...
Article
The paper is devoted to the issue of a robust predictive fault-tolerant control for linear discrete-time systems with an application of an ellipsoidal inner bounding of a robust invariant set. The crucial issue is to maintain the state of the system inside the robust invariant feasible set, which is a set of states guaranteeing the stability of the...
Book
Building Energy Management System (BEMS) plays a crucial role in overall energy savings of a building and hence that of the country. BEMS focuses on providing the necessary comfort to the occupants as well as reducing the energy consumed. One of the key aspects of energy management is to identify faults in order to avoid lack of comfort or increase...
Article
For improving the safety and the reliability of wind turbines and shield them from catastrophic behaviors due to sudden breakdowns, it is important to detect faults as fast as possible In this paper, a generator speed sensor fault and a fault due to the changed dynamics of the drive train, induced by increased friction will be treated For diagnosis...
Article
Full-text available
In this paper we present a qualitative evaluation of generated residual signal using wavelet transform in purpose of fault diagnosis for wind turbine benchmark model. The fault detection is based on generating residual signal by comparing the real and an estimated behavior. The 'Takagi-Sugeno' (TS) fuzzy identification and modeling is considered to...
Article
Fault prognosis,diagnosis and fault tolerant control play important roles in continued development of different kinds of industrial systems. In some industries,fault detection,isolation and fault tolerant control have already been well established,e.g. fault diagnosis is a standard component in automotive engines for reasons of pollution control an...
Article
Full-text available
Recently, there is a high demand on companies for high quality, reliable products for a reasonable price in a timely manner. In order to provide such goods novel methods of product quality control are required to be developed and used in industrial practice. For example, it is possible to use methods based on analytical redundancy. In such approach...
Article
Full-text available
In this paper, we consider a fault tolerant control system (FTCS) with state- dependent failures and provide a tractable mathematical model to handle the state-dependent failures. By assuming abrupt changes in system parameters, we use a jump process modelling of failure process and the fault detection and isolation (FDI) process. In particular, we...
Article
In this paper, a fault recovery approach using dynamic reference modification and reconfigurable linear quadratic regulator is proposed. The idea is to modify the reference according to the system constraints, which become more strict after fault occurrence to avoid any actuator saturation and ensure system stability. The effectiveness of the propo...
Article
Standard formal mathematical tools are usually not suitable to address the problem of large scale-systems modeling since the differential equations describing the behavior of such systems are very difficult to obtain. This is due, in particular, to the fact that the analytical representation of the underlying physical laws is often unknown or is to...
Article
The paper deals with the problem of robust predictive fault-tolerant control for nonlinear discrete-time systems described by the Takagi-Sugeno models. The proposed approach consists of three steps, i.e. it starts from fault estimation, the fault is compensated with a robust controller, and finally, when the compensation is not successful then a su...
Article
Full-text available
In this article, the system under consideration is a state-dependent jump linear system, a particular kind of stochastic switching systems, subject to possibly unbounded random disturbance. We address a receding horizon control problem of minimizing the given objective function on-line with probabilistic constraints on the state variable. The proba...
Conference Paper
The main contribution of the paper was to propose a robust predictive fault-tolerant control scheme for a class of non-linear discrete-time systems that can be described with the LPV models using neural networks. Indeed, the contribution can be divided into a few important points: extension of the efficient predictive control to the robust case wit...
Article
This special issue contains article on fault detection and isolation and fault tolerant control methods applied to different aspects of modern power grids, both for detection, isolation and accommodating faults in the power grid, and for detection, isolation and accommodation of faults in power generating units. Copyright © 2014 John Wiley & Sons,...
Conference Paper
This paper deals with a continuous-time state-dependent jump linear system. In particular, we consider a situation when the transition rate of the random jump process depends on the state variable, and addressed the problem of stochastic stability analysis and control synthesis for the proposed system. Numerically solvable sufficient conditions for...
Conference Paper
This paper studies a novel approach of fast fault estimation based on adaptive actuator fault diagnosis observer. A derivative action is added to the adaptive controller to improve the fault estimation response. Then, to acquire the designed parameters, a linear matrix inequalities (LMI) problem is formulated. At the end, the efficiency of the prop...
Conference Paper
The paper deals with the problem of robust predictive fault-tolerant control for non-linear discrete-time systems. The proposed approach starts with the fault estimation and then the fault is compensated with a robust controller. If the robust fault compensation does not provide satisfactory results, which means that the current state does not belo...
Conference Paper
Full-text available
The paper deals with the problem of a robust fault diagno-sis for Linear Parameter-Varying (LPV) systems with Recurrent Neural-Network (RNN). The preliminary part of the paper describes the deriva-tion of a discrete-time polytopic LPV model with RNN. Subsequently, a robust fault detection, isolation and identification scheme is developed, which is...
Article
An optimal control law synthesis conditioned by the reliability importance measures and degradation of components in the presence of failures is presented. The aim is to preserve the health of the actuators and the availability of over-actuated system both in the nominal situation and in the presence of some actuator failures. The reliability impor...
Conference Paper
This paper deals with a discrete-time Markov jump linear system with a non-homogeneous Markov Chain. In particular, we consider the situation when the transition probability matrix of the non-homogeneous Markov Chain is varying in an interval, and obtained a sufficient condition for the mean square stability of the proposed system.
Conference Paper
Full-text available
The main contribution of this paper concerns the reconfigurability evaluation of fault tolerant control system with respect of the reliability requirements and actuators aging. Based on the relationship between the energy consumption defined through the Gramian controllability and the actuators aging under degraded functional conditions, a new reco...
Conference Paper
The fault diagnosis and prediction of electrical machines and drives has become of importance because of its great influence on the operational continuation of many industrial processes. Correct diagnosis and early detection of incipient faults avoids harmful, sometimes devastative, consequences. In this work, on the basis of a model of an inductio...
Article
This paper presents a class of centralized and decentralized adaptive fault tolerant control (FTC) for N-interconnected subsystems which can make up a global system coupling. An integrated model for the combined dynamics of two interconnected subsystems is developed which provides an ideal frame work for the design of centralized and distributed FT...
Conference Paper
In this paper, the statistical properties of a change detection algorithm are considered. More specifically, we considered the exponentially weighted moving average (EWMA) algorithm. Analytical expressions for the probability distribution of detection delay and the time between false alarms are proposed, and the results are validated by simulations...
Conference Paper
This paper presents a tool designed for analysing fault propagation and fault impact on large-scale process performances. The analysis is based on structural description of the process. The main physical variables are associated to each subsystem and a relational model linking these variables for all the different functioning modes of the system is...
Conference Paper
In this paper, the problem of Fault Detection and Isolation (FDI) is addressed in a particular setting. Autonomous Control Systems (ACS) sharing a single communication channel (Wireless network for example) is considered. The objective is to optimize the sampling rate for the exchange of information between the ACS and the FDI system in order to im...
Article
Full-text available
Reconfigurable control design with integration of a reference governor and reliability indicators A new approach to manage actuator redundancy in the presence of faults is proposed based on reliability indicators and a reference governor. The aim is to preserve the health of the actuators and the availability of the system both in the nominal behav...
Chapter
In this work, we focus on monitoring and reconfiguration of an Adaptive Model Reference (MRA) Fault-Tolerant Control (FTC) for large-scale system. This particular class presents an interconnected and networked control system (INCS). Moreover, the system can be decomposed into N-interconnected subsystems communicating with network. Then the global o...
Conference Paper
Full-text available
We design a robust fault estimation technique for arbitrary time-varying faults based on an adaptive observer with enhanced speed of adaptation. The construction of the observer is carried out through a transformation of the plant model into its special coordinate basis (SCB) form. This transformation allows a decoupling of the fault estimates from...
Article
Full-text available
Fault tolerance in networked control systems under intermittent observations This paper presents an approach to fault tolerant control based on the sensor masking principle in the case of wireless networked control systems. With wireless transmission, packet losses act as sensor faults. In the presence of such faults, the faulty measurements corrup...
Article
Full-text available
Performance evaluation based fault tolerant control with actuator saturation avoidance In this paper, a new approach regarding a reconfigured system is proposed to improve the performance of an active fault tolerant control system. The system performance is evaluated with an intelligent index of performance. The reconfiguration mechanism is based o...
Article
Full-text available
In this paper, a two-level reconfiguration action is used to design an FTC system. The objective is to adapt the corrective action accordingly to the fault severity. The first level of the procedure is triggered when the impact of the fault on the system performance is limited. At the second level a dynamic reference modification based on reference...
Conference Paper
In this paper, a distributed networked control system architecture based on unsupervised and independent Model Predictive Control/Robust Adaptive Fast Fault Estimation (MPC/RAFFE) schemes is proposed. In this distributed framework, local MPCs algorithms might exchange and require information from other sub-controllers via the communication network...