Firstly, this book proposes a P-radius based set-membership estimation method to compute a zonotopecontaining the real states of a system, which are consistent with the disturbances and the measurement noise. Secondly, this book deals with the problem of output feedback control. Among the approaches from the literature, the implementation of robust predictive techniques based on tubes of trajectories is developed. The zonotopic set-membership estimation improves the quality of the estimation, as well as the performance of the control, for systems subject to unknown, but bounded disturbances and measurement noise.

Zonotopes: From Guaranteed State-estimation to Control

Engineering & Transportation

Dumur, Didier

Camacho, Eduardo F.

Stoica, Cristina

Le, Vu Tuan Hieu

Alamo, Teodoro

Engineering

Wiley-ISTE

Due to the consequences of globa l warming and significant greenhouse gas emissions, several ideas have been studied to reduce these emissions or to suggest solut ions for pollutant remov al. The most promising ideas are reduced consumption, waste recovery and waste treatment by biological systems. In this latter category, studies have demonstrated that the use of microalgae is a very promising solution for the biofixation of carbon dioxide. In fact, these micro-organisms are able to offset high levels of CO2 thanks to photosynthesis. Microalgae are also used in various fields (food industry, fertilizers, biofuel, etc.). To obtain a n optimal C O2 sequestration us ing micr oal gae, their cul tivatio n has to be c arried ou t in a f avorable e nvironment, corresponding to optimal operating conditions (temperature, nutrients, pH, light, etc.). Therefore, microalgae are grown in an enclosure, i.e. photobioreactors, which notably operate in continuous mode. This type of closed reactor notably enables us to reduce culture contamination, to improve CO2 transfer and to better control the cultivation system. This last point involves the regulation of concentrations (biomass, substrate or by-product) in addition to conventional regulations (pH, temperature).To do this, we have to establish a model of the system and to identify its parameters; to put in place estimators in order to rebuild variables that are not measured online (software sensor); and finally to implement a control law, in order to maintain the system in optimal conditions despite modeling errors and environmental disturbances that can have an influence on the system (pH variations, temperature, light, biofilm appearance, etc.).

CO2 Biofixation by Microalgae: Modeling, Estimation and Control (Focus)

Science & Math

Tebbani, Sihem

Filali, Rayen

Lopes, Filipa

Pareau, Dominique

Biological Sciences

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