Under stress conditions, microalgae are known to accumulate large amounts of neutral lipids and carbohydrates, which can be used for biofuel production. However, on-line measurement of microalgal biochemical composition is a difficult task which makes the microalgal process rather difficult to manage. In this paper, we propose a so called adaptive interval observer for the on-line estimation of...

The paper deals with the synchronization of a new statistically highly performant function firstly introduced by Lozi. The synchronization is reached via observers which reconstruct all the states of the original system, using only a partial information of it. The map has been rewritten as a piece-wise affine one, which allows to design two types of observers: an exact (dead-beat) observer, and...

This paper design a method for fault detection and isolation based on observers for systems modelled as Descriptor-Linear Parameter Varying (D-LPV) with Unmeasurable Scheduling Functions (USF). The first contribution of the paper is deal with the USF problem by transforming the into an uncertain D-LPV system with an estimated scheduling parameter. As a second contribution, a robust LPV observer...

In this paper, we develop two robust moving horizon state observer (MHSO) algorithms which are capable of handling system non-linear uncertainties and physical state constraints. The algorithms employ open-loop and closed-loop prediction strategies to convert the design into multi-parameter quadratic programming (mp-QP), and also utilize the novel rewinding optimization to eliminate the conflic...

In this paper, an extended observer was investigated and then implemented for generating approximate state feedback for an Internal Combustion (IC) engine. IC engines are inherently highly nonlinear in nature, therefore, present a problem for system modeling and observer design. A state-dependent gain scheduling control was used to improve state estimation. An extended observer was implemented ...

Robust control based on an online estimation of uncertainty is presented for a class of nonlinear uncertain systems. The estimation is done via a robust observer after the uncertainty vector is projected onto a one-dimensional subspace. The proposed combination of dynamics projection and online estimation is to relax the knowledge about the size of uncertainty and required in the robust control...

In this paper, an observer bank design for sensor fault diagnosis and fault-tolerant control schemes for wind turbines with hydrostatic transmissions are presented. The sensor faults are detected and isolated by several observers using different sensor signals. Starting from a detailed problem formulation that takes into account structured model uncertainties and external inputs, the sufficient...

The problem of robustly stabilising a class of nonlinear systems using an H1 fuzzy observer-based controller is considered. A class of nonlinear systems is approximated by a Takagi–Sugeno fuzzy model. A sufficient condition is derived to ensure the robust stability of the fuzzy observer-based controller with guaranteed H1 disturbance attenuation level. The observer and controller design problem...

This paper presents a new optimized decentralized controller designmethod for solving the tracking and disturbance rejection problems for large-scale linear time-invariant systems, using only low-order decentralized controllers. To illustrate the type of results which can be obtained using the new optimized decentralized control design method, the control of a large flexible space structure is ...