This paper addresses the problem of synthesizing an anti-windup compensator for discrete variable delay systems with missing measurements.The descriptor redundancy approach,embedding the Lyapunov-Krasovskii functional...This paper addresses the problem of synthesizing an anti-windup compensator for discrete variable delay systems with missing measurements.The descriptor redundancy approach,embedding the Lyapunov-Krasovskii functional,relaxed summation inequality,and linear matrix inequality(LMI)techniques are applied to guarantee the stability of the closed-loop system.An optimization algorithm is proposed to maximize the estimated domain of attraction that can be easily implemented.Numerical examples are given to illustrate the advantages of the proposed procedure over other methods available in the literature and to show that it is less conservative than other approaches.展开更多
With the development of the Internet,technology,and means of communication,the production of tourist data has multiplied at all levels(hotels,restaurants,transport,heritage,tourist events,activities,etc.),especially w...With the development of the Internet,technology,and means of communication,the production of tourist data has multiplied at all levels(hotels,restaurants,transport,heritage,tourist events,activities,etc.),especially with the development of Online Travel Agency(OTA).However,the list of possibilities offered to tourists by these Web search engines(or even specialized tourist sites)can be overwhelming and relevant results are usually drowned in informational"noise",which prevents,or at least slows down the selection process.To assist tourists in trip planning and help them to find the information they are looking for,many recommender systems have been developed.In this article,we present an overview of the various recommendation approaches used in the field of tourism.From this study,an architecture and a conceptual framework for tourism recommender system are proposed,based on a hybrid recommendation approach.The proposed system goes beyond the recommendation of a list of tourist attractions,tailored to tourist preferences.It can be seen as a trip planner that designs a detailed program,including heterogeneous tourism resources,for a specific visit duration.The ultimate goal is to develop a recommender system based on big data technologies,artificial intelligence,and operational research to promote tourism in Morocco,specifically in the Daraa-Tafilalet region.展开更多
文摘This paper addresses the problem of synthesizing an anti-windup compensator for discrete variable delay systems with missing measurements.The descriptor redundancy approach,embedding the Lyapunov-Krasovskii functional,relaxed summation inequality,and linear matrix inequality(LMI)techniques are applied to guarantee the stability of the closed-loop system.An optimization algorithm is proposed to maximize the estimated domain of attraction that can be easily implemented.Numerical examples are given to illustrate the advantages of the proposed procedure over other methods available in the literature and to show that it is less conservative than other approaches.
文摘With the development of the Internet,technology,and means of communication,the production of tourist data has multiplied at all levels(hotels,restaurants,transport,heritage,tourist events,activities,etc.),especially with the development of Online Travel Agency(OTA).However,the list of possibilities offered to tourists by these Web search engines(or even specialized tourist sites)can be overwhelming and relevant results are usually drowned in informational"noise",which prevents,or at least slows down the selection process.To assist tourists in trip planning and help them to find the information they are looking for,many recommender systems have been developed.In this article,we present an overview of the various recommendation approaches used in the field of tourism.From this study,an architecture and a conceptual framework for tourism recommender system are proposed,based on a hybrid recommendation approach.The proposed system goes beyond the recommendation of a list of tourist attractions,tailored to tourist preferences.It can be seen as a trip planner that designs a detailed program,including heterogeneous tourism resources,for a specific visit duration.The ultimate goal is to develop a recommender system based on big data technologies,artificial intelligence,and operational research to promote tourism in Morocco,specifically in the Daraa-Tafilalet region.
