We investigate a novel adaptive fault-tolerant control method for time-varying failure in high-speed train computer systems and propose a fault model for such systems. First, the dynamics of high-speed train systems are analyzed and a multiple point-mass model is developed. When actuator outputs deviate from the expected value, a novel adaptive fault-tolerant control method based on Lyapunov st...

This paper presents an adaptive fault-tolerant control (FTC) scheme for leader-follower consensus control of uncertain mobile agents with actuator faults. A local FTC component is designed for each agent in the distributed system by using local measurements and certain information exchanged between neighboring agents. Each local FTC component consists of a fault detection module and a reconfigu...

Fault detection is a crucial step in condition based maintenance requiring. The importance of fault diagnosis necessitates an efficient and effective failure pattern identification method. Artificial Neural Networks (ANN) and Support Vector Machines (SVM) emerging as prospective pattern recognition techniques in fault diagnosis have been showing its adaptability, flexibility and efficiency. Reg...

This work studies the problem of fault estimation using a fast adaptive fault diagnosis observer. The estimator bloc considered for this purpose is an Unknown Input Observer (UIO) which is subsequently used for a robust fault detection scheme and also as an adaptive detection design for an additive actuator fault. Stability of the adaptive estimation is provided by a Lyapunov function ending wi...

A new dynamical model is developed here to study the stochastic stability of Fault Tolerant Control Systems (FTCS) with multiple failure processes. In particular, two independent failure processes with Markovian characteristics are considered: one for plant component failures and the other for actuator failures. In this model, the Fault Detection and Isolation (FDI) process is also formulated a...

The problem of adaptive fault-tolerant control for linear systems with time-varying actuator faults including outage and loss of effectiveness is investigated in this paper. After presenting a time-varying actuator fault model, a novel adaptive observer is designed so that the fault parameter can be estimated fast. Here, the inevitable fault estimation error, as well as the exogenous disturbanc...

System stability study is the important parameter of economic, reliable and secure power system planning and operation. Power system studies are important during the planning and conceptual design stages of the project as well as during the operating life of the plant periodically. This paper presents the power system stability analysis for IEEE9 bus test system. The fault is created on differe...

An active sensor fault compensation control law is developed for a class of nonlinear systems to guarantee the closed-loop stability in the presence of a fault, based on a fuzzy logic system and sliding mode. Through the adaptive process of the parameters, the dynamics caused by the fault is counteracted. The fuzzy sliding mode control is introduced to attenuate the fuzzy approximation error. S...

This paper presents the integrated fault-tolerant control scheme for nonlinear system with multi-fault. After the unknown faults are estimated online by using the fuzzy credit assignment CMAC (FCACMAC), the effective control law reconfiguration strategy based on the sliding mode control technique is used to compensate for the effect of multifault. For multiple faults scenarios and three-tank sy...

Starting from a semi-empirical potential designed for Cu, we have developed a series of potentials that provide essentially constant values of all significant (calculated) materials properties except for the intrinsic stacking fault energy, which varies over a range that encompasses the lowest and highest values observed in nature. These potentials were employed in molecular dynamics (MD) simul...