Since OpenStreetMap (OSM) appeared more than ten years ago, new collaborative mapping ApProaches have emerged in different areas and have become important components of localised information and services based on localisation. There is now increased awareness of the importance of the space-time attributes of almost every event and phenomenon. Citizens now have endless possibilities to quickly geographically locate themselves with an accuracy previously thought impossible. Based on these societal drivers, we proposed a number of collaborative mapping experiments (“mapping parties”) to delegates of a large open-source geospatial conference and to citizens of the conference’s host city during July 2015.
標(biāo)簽： Information Leveraging Systems Mobile
上傳時間： 2020-06-09
上傳用戶：shancjb
There exist two essentially different ApProaches to the study of dynamical systems, based on the following distinction: time-continuous nonlinear differential equations ? time-discrete maps One approach starts from time-continuous differential equations and leads to time-discrete maps, which are obtained from them by a suitable discretization of time. This path is pursued, e.g., in the book by Strogatz [Str94]. 1 The other approach starts from the study of time-discrete maps and then gradually builds up to time-continuous differential equations, see, e.g., [Ott93, All97, Dev89, Has03, Rob95]. After a short motivation in terms of nonlinear differential equations, for the rest of this course we shall follow the latter route to dynamical systems theory. This allows a generally more simple way of introducing the important concepts, which can usually be carried over to a more complex and physically realistic context.
標(biāo)簽： Systems_Rainer Introduction Dynamical Klages to
上傳時間： 2020-06-10
上傳用戶：shancjb
Recent years have seen a rapid development of neural network control tech- niques and their successful applications. Numerous simulation studies and actual industrial implementations show that artificial neural network is a good candidate for function approximation and control system design in solving the control problems of complex nonlinear systems in the presence of different kinds of uncertainties. Many control ApProaches/methods, reporting inventions and control applications within the fields of adaptive control, neural control and fuzzy systems, have been published in various books, journals and conference proceedings.
標(biāo)簽： Stable_adaptive_neural_network_co ntrol
上傳時間： 2020-06-10
上傳用戶：shancjb
This texts contemporary approach focuses on the concepts of linear control systems, rather than computational mechanics. Straightforward coverage includes an integrated treatment of both classical and modern control system methods. The text emphasizes design with discussions of problem formulation, design criteria, physical constraints, several design methods, and implementation of compensators.Discussions of topics not found in other texts--such as pole placement, model matching and robust tracking--add to the texts cutting-edge presentation. Students will appreciate the applications and discussions of practical aspects, including the leading problem in developing block diagrams, noise, disturbances, and plant perturbations. State feedback and state estimators are designed using state variable equations and transfer functions, offering a comparison of the two ApProaches. The incorporation of MATLAB throughout the text helps students to avoid time-consuming computation and concentrate on control system design and analysis
標(biāo)簽： 控制系統(tǒng)
上傳時間： 2021-12-15
上傳用戶：
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