Adaptive sliding mode control of robot manipulators: general sliding manifold case
Automatica (Journal of IFAC)
Robust adaptive control
Robust model-based fault diagnosis for dynamic systems
Robust model-based fault diagnosis for dynamic systems
Active Fault Tolerant Control Systems: Stochastic Analysis and Synthesis
Active Fault Tolerant Control Systems: Stochastic Analysis and Synthesis
Model-Based Fault Diagnosis in Dynamic Systems Using Identification Techniques
Model-Based Fault Diagnosis in Dynamic Systems Using Identification Techniques
Fault Diagnosis: Models, Artificial Intelligence, Applications
Fault Diagnosis: Models, Artificial Intelligence, Applications
Diagnosis and Fault-Tolerant Control
Diagnosis and Fault-Tolerant Control
Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems: From Analytical to Soft Computing Approaches
Fault Tolerant Control Design For Polytopic LPV Systems
International Journal of Applied Mathematics and Computer Science
Reliability Modeling of Fault Tolerant Control Systems
International Journal of Applied Mathematics and Computer Science
Actuator Fault Tolerant Control Design Based on a Reconfigurable Reference Input
International Journal of Applied Mathematics and Computer Science - Issues in Fault Diagnosis and Fault Tolerant Control
Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools
Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools
A practical method for the design of sliding mode controllers using linear matrix inequalities
Automatica (Journal of IFAC)
Stability analysis of the neural network based fault tolerant control for the boiler unit
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
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This paper describes the design of fault diagnosis and active fault tolerant control schemes that can be developed for nonlinear systems. The methodology is based on a fault detection and diagnosis procedure relying on adaptive filters designed via the nonlinear geometric approach, which allows obtaining the disturbance de-coupling property. The controller reconfiguration exploits directly the on-line estimate of the fault signal. The classical model of an inverted pendulum on a cart is considered as an application example, in order to highlight the complete design procedure, including the mathematical aspects of the nonlinear disturbance de-coupling method based on the nonlinear differential geometry, as well as the feasibility and efficiency of the proposed approach. Extensive simulations of the benchmark process and Monte Carlo analysis are practical tools for assessing experimentally the robustness and stability properties of the developed fault tolerant control scheme, in the presence of modelling and measurement errors. The fault tolerant control method is also compared with a different approach relying on sliding mode control, in order to evaluate benefits and drawbacks of both techniques. This comparison highlights that the proposed design methodology can constitute a reliable and robust approach for application to real nonlinear processes.