02720nam 2200505 450 991079545180332120230807203119.03-8325-9432-9(CKB)4340000000244403(MiAaPQ)EBC524715358a1c68b-0d98-4f60-ae10-3edeb0dd2d03(EXLCZ)99434000000024440320180509d2015 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierImplant system for the recording of internal muscle activity to control a hand prosthesis /von Lait Abu Saleh, aus Majdal Shams, GolanhöhenBerlin :Logos Verlag Berlin,[2015]1 online resource (xiii, 198 pages) illustrationsWissenschaftliche Beiträge zur Medizinelektronik ;Volume 5"Vom Promotionsausschuss der Technischen Universität Hamburg-Harburg zur Erlangung des akademischen Grades Doktor-Ingenieur (Dr. -Ing.) genehmigte Dissertation, von Lait Abu Saleh, aus, Majdal Shams, Golanhöhen, 2015".3-8325-4153-5 Includes bibliographical references.Long description: An implantable system to invasively acquire muscle activity for controlling a bionic hand prosthesis is presented. The system utilizes two wireless interfaces for data and power transmission. Furthermore, a multichannel custom made low-power application specific integrated circuit (ASIC) was designed in 130 nm technology to amplify, filter and digitize the analogue muscle-activity. A trade-off between power consumption, silicon area and noise was considered during the design phase. The implant system was successfully tested by several animal experiments (sheep and rhesus macaques). The invasively recorded muscle activity possesses a higher amplitude, higher selectivity and more stability than its surface recorded counterpart. It provides an opportunity for simple and smooth control of a hand prosthetic system with high number of degrees of freedom.Medical innovationsArtificial handsBiomedical materialsProsthesisMedical innovations.Artificial hands.Biomedical materials.Prosthesis.617.575Saleh Lait Abu1980-1551764Shams aus MajdalGolanhohenMiAaPQMiAaPQMiAaPQBOOK9910795451803321Implant system for the recording of internal muscle activity to control a hand prosthesis3811420UNINA04084nam 22007455 450 991043813910332120260810140645.09781461469834146146983X10.1007/978-1-4614-6983-4(OCoLC)840605078(MiFhGG)GVRL6XUL(CKB)2670000000360100(DE-He213)978-1-4614-6983-4(EXLCZ)99267000000036010020130413d2013 u| 0engurun|---uuuuatxtccrContinuous Average Control of Piecewise Deterministic Markov Processes /by Oswaldo Luiz do Valle Costa, Francois Dufour1st ed. 2013.New York, NY :Springer New York :Imprint: Springer,2013.1 online resource (xii, 116 pages) illustrationsSpringerBriefs in Mathematics,2191-8201"ISSN: 2191-8198.""ISSN: 2191-8201 (electronic)."9781461469827 1461469821 Includes bibliographical references and index.Introduction -- Average continuous control of PDMPs -- Optimality equation for the average control of PDMPs -- The vanishing discount approach for PDMPs -- The policy iteration algorithm for PDMPs -- Examples.The intent of this book is to present recent results in the control theory for the long run average continuous control problem of piecewise deterministic Markov processes (PDMPs). The book focuses mainly on the long run average cost criteria and  extends to the PDMPs some well-known techniques related to discrete-time and continuous-time Markov decision processes, including the so-called ``average inequality approach'', ``vanishing discount technique'' and ``policy iteration algorithm''. We believe that what is unique about our approach is that, by using the special features of the PDMPs, we trace a parallel with the general theory for discrete-time Markov Decision Processes rather than the continuous-time case. The two main reasons for doing that is to use the powerful tools developed in the discrete-time framework and to avoid working with the infinitesimal generator associated to a PDMP, which in most cases has its domain of definition difficult to be characterized. Although the book is mainly intended to be a theoretically oriented text, it also contains some motivational examples. The book is targeted primarily for advanced students and practitioners of control theory. The book will be a valuable source for experts in the field of Markov decision processes. Moreover,  the book should be suitable for certain advanced courses or seminars. As  background, one needs an acquaintance with the theory of Markov decision processes and some knowledge of stochastic processes and modern analysis.  .SpringerBriefs in Mathematics,2191-8201ProbabilitiesMathematical optimizationSystem theoryControl theoryOperations researchManagement scienceProbability TheoryContinuous OptimizationSystems Theory, ControlOperations Research, Management ScienceComplex SystemsProbabilities.Mathematical optimization.System theory.Control theory.Operations research.Management science.Probability Theory.Continuous Optimization.Systems Theory, Control.Operations Research, Management Science.Complex Systems.519.233Costa Oswaldo Luiz do Valle771991Dufour FrançoisMiFhGGMiFhGGBOOK9910438139103321Continuous Average Control of Piecewise Deterministic Markov Processes4840299UNINA