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Combining descriptor-based analyses and mean-field modeling of the electrochemical interface to comprehend trends of catalytic processes at the solid/liquid interface

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Journal of Energy Chemistry 2023年第10期85卷 288-290,I0009页

作者： Kai S.Exner University Duisburg-Essen Faculty of ChemistryTheoretical Inorganic ChemistryUniversitätsstraße 545141 EssenGermany Cluster of Excellence RESOLV 44801 BochumGermany Center for Nanointegration(CENIDE)Duisburg-Essen 47057 DuisburgGermany

Electrocatalysis is undergoing a renaissance due to its central importance for a sustainable energy economy,relying on green(electro-)chemical processes to harvest,convert,and store *** considerations by electronic structure methods are key to identify potential material motifs for electrocatalytic processes at the solid/liquid *** commonly,heuristic concepts in the realm of materials screening by the compilation of volcano plots are used,which rely on a plethora of simplifications and approximations of the complex electrochemical *** the investigation of the catalytic processes at the solid/liquid interface mainly relies on descriptor-based approaches,in the present future article it is discussed that the inclusion of the liquid part of the interface by mean-field models is crucial to elevate screening approaches to the next level.

关键词： Electrocatalysis Volcano plot descriptor approach Electrochemical interface Mean-field model

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Sensor Faults Observer Design with H_∞ Performance for Non-linear T-S systems

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International Journal of Automation and computing 2013年第6期10卷 563-570页

作者： Imen Haj Brahim Maha Bouattour Driss Mehdi Mohamed Chaabane Ghani Hashim Laboratory of Sciences and Techniques of Automatic Control&Computer Engineering(Lab-STA) National School of Engineering of SfaxUniversity of Sfax LIAS-ENSIP University of PoitiersLIAS-ENSIP2 rue Pierre Brousse Computer Science Department Cihan University

This paper deals with the problem of the state estimation and the sensor faults detection for nonlinear perturbed systems described by Takagi-Sugeno （T-S） fuzzy models with unmeasurable premise variables. Indeed, a T-S observer is synthesized, in descriptor form, to estimate both the system states and the sensor faults simultaneously. The idea of the proposed approach is to introduce the sensor fault as an auxiliary variable in the state vector. Besides, the T-S model with unmeasurable premise variables is reduced to a perturbed model with measurable variables. Convergence conditions are established with Lyapunov theory and the H∞ performance in order to guarantee the best robustness to disturbances. These conditions are expressed in terms of linear matrix inequalities （LMIs）. The parameters of the observer are computed using the solution of the LMI conditions. Finally, a numerical example is given to illustrate the design procedures. Simulation results show the satisfactory performances.

关键词： Takagi-Sugeno (T-S) fuzzy system sensor faults H∞ performance descriptor approach observer linear matrix inequality(LMI).

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