CDC2000 Fault Detection and Diagnosis

Fault Detection and Diagnosis
Home Full List of Titles 1: Proceedings of CDC2000 Discrete Event Systems Control in Communication Systems Optimal Control and Applications I Optimisation Approaches and Methods Model Predictive Control Advances in Linear Estimation Stochastic and Uncertain Systems Nonlinear Control and Applications Nonlinear Estimation and Filtering Formation Control and its Applications New Approaches to Fuzzy Control Manufacturing Systems Automotive Applications Stability Issues in Hybrid Control Recent Advances in Stochastic Networks Optimal Control and Applications II Robust Controller Design - mu, L1 and H2 Constrained and Receding Horizon Control Identification and Control around the World Markov Decision Processes Nonlinear Optimisation Observers for Nonlinear Systems Motion Planning Neural / Fuzzy Stability and Control Motor Control Control of Quantum Phenomena I Hybrid Systems Methods Control in Communication Networks Robustness and Optimisation Bumpless Transfer, Antiwindup and Saturation Adaptive Control: Linear Systems Estimation and Closed Loop Identification Control of Markov Processes Nonlinear Filtering and Control Modelling, Identification and Validation of Nonlinear Systems Differential Geometric Control Theory for Mechanical Systems Nonlinear Output Feedback Control Pneumatics and Compression Systems Control of Quantum Phenomena II Stability of Hybrid Systems Performance Analysis in Communication Networks Adaptive Control of Nonlinear Systems LMI Methods in Design Robust Control of Time Delay Systems Subspace Identification Methods Nonlinear Stochastic Filtering and Estimation Bifurcations, Chaos and Control I New Progress in Synthesis of Nonlinear Systems I Implementation Issues of Sliding Mode Control Theory Control of Mixing in Shear Flows Novel Neural Network Control Techniques for Industrial Motion Control Systems Physiological Control Systems Optimal Control of Hybrid Systems Stochastic Models for Communication Networks Control and Stabilisation of Nonlinear Systems New Directions in Robust Control Linear Systems Theory Advanced Topics in Systems Theory Estimation in Action Bifurcations, Chaos and Control II New Progress in Synthesis of Nonlinear Systems II Numerical Design and Analysis Techniques for Nonlinear Systems Analysis and Control of Underactuated Systems Sliding Mode Control I Challenges in the Application of Control to Computer Systems Estimation and Diagnosis of Discrete Event Systems Communications and Games Optimal Control Stochastic Systems Model Reduction Methodologies Identification and Subspace Methods Applications of Nonlinear Adaptive Control Advances in Nonlinear Output Feedback Design The Behavioural Approach to Systems and Control Vision Based Estimation and Control: Recent Advances and Open Problems Agile Control of Military Operations Sliding Mode Control II Model-based Fault Diagnosis of Industrial Processes Discrete Event Systems / Petri Nets System Identification and Confidence Estimation New Approaches to H-Infinity Control I Probabilistic Approaches to Robust Control Time Delay System Stabilisation Identification Methods Controlled Stochastic Processes Output Feedback of Nonlinear Systems Topics in Nonlinear Stabilisation Mobile Robots: Tracking Control Robust Control of Nonlinear Systems Power Systems Stabilisation and Control Disk Drive Control Hybrid Control Applications Discrete Time Systems New Approaches to H-Infinity Control II Linear Systems with Saturating Actuators New Theories in Distributed Parameter Systems Applications of Estimation and Identification Stochastic Control and Tuning Methodologies Control of Nonlinear Systems Iterative Learning and Control Coordinating Robot Systems Nonlinear Time Varying Systems Novel Applications of Neural Networks Aerospace Applications Switched Systems Implicit and Descriptor Systems LQG Periodic Systems and Disturbances New Horizons for Distributed Parameter Systems State Estimation Learning and Neuro-Control Nonlinear Control and Stabilisation I Tracking Vision Servoing Controllability of Nonlinear Systems Control of Flexible Systems Electro-Mechanical Systems Robust Control Methods and Applications Fault Detection and Diagnosis Optimisation and Applications Robust Stability Analysis Numerical Methods in Control Filtering in Continuous Time Stochastic Systems Interplay between Control and Signal Processing Fault Detection and Analysis Nonlinear Dynamical Systems Nonlinear Time Delay Systems Computational Issues in Nonlinear Control Disturbance Rejection Process Control Industry Applications Linear Parameter Varying Systems Linear Control Systems Dynamic and Nonlinear Programming Model Reduction Applications New Techniques for Control and Systems: Numerical Linear Algebra Estimation and Identification using Hidden Markov Models Applications of Stochastic Control Topics in Linear Design Nonlinear Control and Stabilisation II Ambulatory Robot Systems Chaotic and Oscillatory Systems Biomedical System Control Integrated Control and CPU Scheduling Linear Design Techniques Adaptive Disturbance / Noise Compensation Nonlinear Model Predictive Control Sensitivity Design, Analysis and Limitations Analysis of Linear Systems Linear Matrix Inequalities in Design Lyapunov's 2nd Method Robotics: Tracking Control Lagrangian and Hamiltonian Theory Variable Structure Control Machine Vision Signal Processing Methods in Control Applied Nonlinear Control Author Index A B C D E F G H I J K L M N O P Q R S T U V W X Y Z	A New Controller Architecture for High Performance, Robust, and Fault Tolerant Control Authors: Kemin Zhou, Volume: 1, Page 4120 Paper number 2091 Abstract: In this paper, we propose a new feedback controller architecture. The distinguished feature of our new controller architecture is that the controller design for performance and robustness can be done separately which completely overcome the conflict between performance and robustness in the traditional feedback framework. The controller architecture includes two parts: one part for performance and the other part for robustness. The controller architecture works in such a way that the feedback control system will be solely controlled by the performance controller when there is no model uncertainties and external disturbances and the robustification controller will only be active when there is model uncertainties or external disturbances. CD002091.PDF (From Author) TOP Optimal Control Law for Fault Tolerant Control Systems Authors: Mufeed Mahmoud, Jin Jiang, Youmin Zhang, Volume: 1, Page 4126 Paper number 1466 Abstract: In this paper, an optimal control law is designed for Fault Tolerant Control Systems with Markovian Parameters(FTCSMP). The matrix maximum principle is used to minimize an equivalent deterministic cost function. Three scenarios are considered. The first assumes that both the failure process and the Fault Detection and Isolation (FDI) process are accessible for controller. In the second scenario, the controller is reconfigured based on the decisions of the FDI process and does not need an accessible failure process. The case where the FDI process itself is not able to give any decision due to physical malfunction or excessive computational time is the third scenario. In these scenarios, optimal control laws are developed to reduce the risk of losing system stability. A computational algorithm is constructed to calculate the optimal control law. CD001466.PDF (From Author) TOP Robust Reconfigurable Control for Parametric and Additive Faults with FDI Uncertainties Authors: Zhenyu Yang, Jakob Stoustrup, Volume: 1, Page 4132 Paper number 1462 Abstract: From the system recoverable point of view, this paper discusses robust reconfigurable control synthesis for LTI systems and a class of nonlinear control systems with parametric and additive faults as well as derivations generated by FDI algorithms. By following the model-matching strategy, an augmented optimal control problem is constructed based on the considered faulty and fictitious nominal systems, such that the robust control design techniques, such as H_(infinity) control and mu synthesis, can be employed for the reconfigurable control design. CD001462.PDF (From Author) TOP Observer-Based Fault Diagnosis For Structured Systems Authors: Christian Commault, Jean-Michel Dion, Olivier Sename, Reza Moteyian, Volume: 1, Page 4138 Paper number 1083 Abstract: We consider here the Fault Detection and Isolation (FDI) problem for linear systems with disturbances. We try to design a set of residuals through a bank of observers, in such a way that the transfer from the disturbances to the residuals is zero and the transfer from the faults to the residuals is diagonal. We deal with this problem when the system under consideration is structured, that is, the entries of the matrices which define the system are either fixed zeros or free parameters. To structured systems one can associate in a natural way a directed graph. We are then able to give a necessary and sufficient condition under which the FDI problem has a solution for almost any value of the free parameters. This condition is simply expressed in terms of particular paths in the associated graph. CD001083.PDF (From Author) TOP Fault Detection System Design Based On A New Trade-Off Strategy Authors: Steven X. Ding, Paul M. Frank, Eve L. Ding, Torsten Jeinsch, Volume: 1, Page 4144 Paper number 1976 Abstract: In this paper, problems related to the fault detection in dynamic systems with unknown inputs are studied. Instead of designing fault detection systems from the viewpoint of increasing the system robustness against unknown inputs and the sensitivity to the faults, an approach is proposed, which allows us to design fault detection systems based on a trade-off between the false alarm rate and the missed detection rate. A further study on the relationships between the approach proposed and the existing optimization approaches demonstrates that the approach proposed in this paper provides us not only with a unified solution to the existing approaches but also with the best solution among these approaches in view of minimizing the missed detection rate under a given false alarm rate. CD001976.PDF (From Author) TOP Diagnosis of an Uncertain Static System Authors: Olivier Adrot, Didier Maquin, José Ragot, Volume: 1, Page 4150 Paper number 1487 Abstract: This paper deals with an original fault detection and isolation method, allowing to take the structure and the range of model uncertainties into account. We focus on static and structured uncertain models, where each parameter uncertainty is described by a bounded variable. In order to de-couple residuals from unknown physical variables, a parity space approach is proposed, where the parity matrix depends on uncertain parameters. Because of this membership approach, called bounding approach, residuals represent a set of feasible behaviours and define therefore the normal operating domain of the studied physical system. To simplify its evaluation and work on a simple domain such as a parallelotope, residuals are linearised in the bounded variables and a reduction procedure is applied to decrease their complexity. Once the constraints defining this domain are determined, consistency tests for fault detection and isolation are built. CD001487.PDF (From Author) TOP A Time-Frequency Domain Fault Detection Approach Based On Parity Relation And Wavelet Transform Authors: Hao Ye, Ping Zhang, Steven X. Ding, Guizeng Wang, Volume: 1, Page 4156 Paper number 1308 Abstract: In this paper, problems related to the design of robust residual generators have been studied. The main objective of our study is to make use of the simple time domain design form of the parity relation based approach and the frequency domain analysis known by the H2- optimization approach, in order to improve the system performance without an essential increase in computation. We establish a relationship between the parity relation based and the H2-optimal residual generators and show that the optimal parity vector converges to the H2-optimal post-filter when the order of the parity vector tend to infinity. Making use of the fact that the H2-optimal post- filter is a narrow band filter and the well known time-frequency domain properties of Wavelet Transform, a time-frequency domain approach is developed, which allows us to design a residual generator based on Wavelet Transform. The significant property of such kind of residual generators is its simple form, low order and high performance. The main results are illustrated by examples. CD001308.PDF (From Author) TOP