01575nam 2200445 450 991070659060332120171114105402.0(CKB)5470000002456537(OCoLC)1011356493(EXLCZ)99547000000245653720171113j200101 ua 0engurbn|||||||||txtrdacontentcrdamediacrrdacarrierBaseline testing of the EV Global E-Bike /Dennis J. Eichenberg, John S. Kolacz, and Paul F. TavernelliCleveland, Ohio :National Aeronautics and Space Administration, Glenn Research Center,January 2001.1 online resource (54 pages) illustrationsNASA/TM ;2001-210569"January 2001.""Performing organization: National Aeronautics and Space Administration, John H. Glenn Research Center at Lewis Field"--Report documentation page.Electric equipment testsnasatEngine testsnasatElectric motorsnasatPerformance testsnasatElectric equipment tests.Engine tests.Electric motors.Performance tests.Eichenberg Dennis J.1391978Kolacz John S.Tavernelli Paul F.NASA Glenn Research Center,GPOGPOBOOK9910706590603321Baseline testing of the EV Global E-Bike3546728UNINA03921nam 22006975 450 991062437920332120251113200159.0981-19-6321-510.1007/978-981-19-6321-6(MiAaPQ)EBC7127699(Au-PeEL)EBL7127699(CKB)25219361800041(PPN)265863864(OCoLC)1350469491(DE-He213)978-981-19-6321-6(EXLCZ)992521936180004120221029d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierFault Estimation for Network Systems via Intermediate Estimator /by Jun-Wei Zhu, Xin Wang, Guang-Hong Yang1st ed. 2022.Singapore :Springer Nature Singapore :Imprint: Springer,2022.1 online resource (191 pages)Mathematics and Statistics SeriesPrint version: Zhu, Jun-Wei Fault Estimation for Network Systems Via Intermediate Estimator Singapore : Springer,c2022 9789811963209 Includes bibliographical references (pages 177-186) and index.Chapter 1. Introduction -- Chapter 2. Design of nominal intermediate estimator -- Chapter 3. Robust Fault Estimation (FE) for a Network of Dynamical Systems -- Chapter 4. FE based Tracking Control for Multi-Agent Systems (MASs) with undirected graph -- Chapter 5. FE based Tracking Control for MASs under directed graph -- Chapter 6. FE based Tracking Control for MASs with mismatched disturbances -- Chapter 7. Applications on Multi-Axis Motion Control Systems -- Chapter 8. Conclusions and Future Research Directions.This book is concerned with the fault estimation problem for network systems. Firstly, to improve the existing adaptive fault estimation observer, a novel so-called intermediate estimator is proposed to identify the actuator or sensor faults in dynamic control systems with high accuracy and convergence speed. On this basis, by exploiting the properties of network systems such as multi-agent systems and large-scale interconnected systems, this book introduces the concept of distributed intermediate estimator; faults in different nodes can be estimated simultaneously; meanwhile, satisfactory consensus performances can be obtained via compensation based protocols. Finally, the characteristics of the new fault estimation methodology are verified and discussed by a series of experimental results on networked multi-axis motion control systems. This book can be used as a reference book for researcher and designer in the field of fault diagnosis and fault-tolerant control and can also be usedas a reference book for senior undergraduate and graduate students in colleges and universities. .Mathematics and Statistics SeriesAutomatic controlRoboticsAutomationTelecommunicationComputer networksControl and Systems TheoryControl, Robotics, AutomationCommunications Engineering, NetworksComputer Communication NetworksAutomatic control.Robotics.Automation.Telecommunication.Computer networks.Control and Systems Theory.Control, Robotics, Automation.Communications Engineering, Networks.Computer Communication Networks.629.8312Zhu Jun-Wei1263798Wang XinYang Guang-HongMiAaPQMiAaPQMiAaPQBOOK9910624379203321Fault estimation for network systems via intermediate estimator3062399UNINA