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This paper deals with the diagnosis problem of hybrid dynamic system. An Efficient diagnosis technique has to be adopted to detect, isolate faults. The modeling tool selected is the hybrid automata for its power analysis. A simple process is used to demonstrate the modeling steps and the time analysis method to reach the diagnosis results.
This paper proposes a design method of a support tool for detection and diagnosis of failures in discrete event systems (DES). The design of this diagnoser goes through three phases: an identification phase and finding paths and temporal parameters of the model describing the two modes of normal and faulty operation, a detection phase provided by the comparison and monitoring time operation and a...
The work presented in this paper focuses on the modeling of nonlinear hybrid systems taking into account the different operating modes. This approach is a multi-models approach or each model describes the system in a given mode. Each mode is represented by hybrid automata.
This work is dedicated to the synthesis of a new fault detection and identification scheme for the actuator and/or sensor faults modeled as unknown inputs of the system. The novelty of this scheme consists in the synthesis of a new structure of proportional-integral observer (PIO) reformulated from the new linear ARX-Laguerre representation with filters on system input and output in order to estimate...
In this work we use a new representation for linear MISO system entitled ARX-Laguerre MISO model in order to detect faults by developing a new structure of proportional observer. This is covered without using physical modeling of the system (such as a system of differential equations) but by filtering the inputs and the output of the system. Therefore, the proposed proportional observer aims to estimate...
Diagnosis is a main requirement in the industrial. In this paper we focus on hybrid dynamic system. HDS combines continuous and discrets behaviors. The aim is the implementation of a fault diagnostic tool using hybrid automata. We focus in this part in modelisation. This approach is implemented on heating filling system.
In this paper, we consider the synthesis of Finite Time Observers for a class of nonlinear systems by solving some LMIs problem. We develop a method to calculate a constant gain which is used to determine an observer for a class of nonlinear systems. An application to the manipulator arm illustrates the proposed theory and point out the ameliorations comparing with asymptotic observers.
In this paper finite time stabilization of linear systems is considered. First we provide a formula for a finite time stabilizing state feedback control law, for the last class of system. Then we give a Linear Matrix Inequality method to finite time stabilizing state feedback control law of linear systems. A comparative study is given. A numerical example is given to illustrate the main result.
In this paper finite-time stabilization of nonlinear affine systems, is considered. First we provide a formula for a finite-time stabilizing state feedback control law, for the last class of system. Then we extend the result to the case of a norm-bounded uncertain system and a polytopic uncertain system stabilization are given. Some numerical examples are given to illustrate the main result.
In this paper finite-time stabilization of nonlinear affine systems, is considered. We give a formula for a finite time stabilizing state feedback control law. Then the proposed method is applied to a robot manipulator system.
In this paper finite-time stabilization of nonlinear non affine systems, is considered. First we provide a formula for a finite time stabilizing state feedback control law, for a second order polynomial system. Then we extend the result to the case of polynomial systems with multiple inputs. Some extensions concerning asymptotic stabilization are given.
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