Carlos Rios-Ruiz

Bio: Carlos Rios-Ruiz is an academic researcher from University of Lorraine. The author has contributed to research in topics: Observer (quantum physics) & Estimator. The author has an hindex of 1, co-authored 2 publications receiving 3 citations.

Finite time functional observers for descriptor systems. Application to fault tolerant control

Abstract: In this paper a new finite-time convergent functional dynamical observer design for descriptor systems is presented. The conditions for its existence and stability are given. This observer is then applied to the sensor and actuator faults detection and estimation. This estimation is used in the observer-based fault tolerant control design. All the obtained results are illustrated by numerical examples.

Design of Finite-Time Convergent Functional Observers

Abstract: In this paper a finite-time convergence fault estimator based on functional observers is presented. The stability conditions of the observer are given and their performance evaluation is made through numerical simulations.

A sliding mode observer for robust fault reconstruction in a class of nonlinear non-infinitely observable descriptor systems

Abstract: This paper presents a sliding mode observer (SMO) for robustly reconstructing faults affecting a class of nonlinear non-infinitely observable descriptor systems. Preliminary transformations are utilised to re-express the system such that the design freedom in its structure is easier to exploit. An infinitely observable system is formed by treating some states as unknown inputs. The faults are then reconstructed from measurable inputs and outputs using a SMO. The structure of the SMO bounds the nonlinear components of its estimation errors. The effect of disturbances on the fault reconstruction is minimised using linear matrix inequality techniques. A summarised design procedure for the SMO scheme is presented. Finally, a simulated example is carried out to showcase the efficacy of the scheme.

Generalized Functional Observer for Descriptor Nonlinear Systems—A Takagi-Sugeno Approach

Abstract: This paper concerns the design of a generalized functional observer for Takagi–Sugeno descriptor systems. Furthermore, a generalized structure is herein introduced for purposes of estimating linear functions of the states of descriptor nonlinear systems represented into a Takagi–Sugeno descriptor form. The originality of the functional generalized observer structure is that it provides additional degrees of freedom in the observer design, which allows for improvements in the estimation against parametric uncertainties. The effectiveness of the developed design is illustrated by a nonlinear model of a single link robotic arm with a flexible link. A comparison between the functional generalized observer and the functional proportional observer is given to demonstrate the observer performances.

Design of a Functional Observer for Non-Linear Singular Delayed Systems

Abstract: In this paper, we propose a new approach to design a functional observer for delayed non-linear singular systems. Delay functions are considered in both state and input vectors. Using the Takagi-Sugeno multiple model principle, we propose to extend observer design for linear singular delayed systems to the non-linear singular delayed representation. Sufficient conditions of stability are given to develop the designed observer gain. Such proposed observer proves its effectiveness on a numerical example.

A sliding mode observer-based robust fault-tolerant control allocation for descriptor systems

Abstract: The problem of designing an observer-based fault-tolerant control allocation mechanism for a multi-input multi-output (MIMO) uncertain descriptor system (DS) subjected to actuator faults/failures and external uncertainties is discussed in this paper. The proposed approach guarantees system performance and closed-loop stability using the integral sliding mode control (ISMC) and a fixed control allocation (CA) strategy. A robust sliding mode observer (SMO) is designed to estimate the states of the DS in a realistic setting. The sliding surface is constructed with the estimated states, following the ISMC principle. To meet the admissibility conditions of DS, a multivariable super-twisting sliding mode control (STSMC) algorithm is designed. The CA technique reallocates the control effort to the remaining healthy actuators on the occurrence of any fault/failure. Lyapunov-based stability is established for the closed-loop system with the controller–observer pair. Finally, the proposed design is validated by evaluating various actuator fault/failure situations.