LEADER 03921nam 22006975 450 001 9910624379203321 005 20251113200159.0 010 $a981-19-6321-5 024 7 $a10.1007/978-981-19-6321-6 035 $a(MiAaPQ)EBC7127699 035 $a(Au-PeEL)EBL7127699 035 $a(CKB)25219361800041 035 $a(PPN)265863864 035 $a(OCoLC)1350469491 035 $a(DE-He213)978-981-19-6321-6 035 $a(EXLCZ)9925219361800041 100 $a20221029d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFault Estimation for Network Systems via Intermediate Estimator /$fby Jun-Wei Zhu, Xin Wang, Guang-Hong Yang 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (191 pages) 225 1 $aMathematics and Statistics Series 311 08$aPrint version: Zhu, Jun-Wei Fault Estimation for Network Systems Via Intermediate Estimator Singapore : Springer,c2022 9789811963209 320 $aIncludes bibliographical references (pages 177-186) and index. 327 $aChapter 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. 330 $aThis book is concerned with the fault estimation problem for network systems. Firstly, to improve the existing adaptive fault estimation observer, a novel so-called intermediate estimator is proposed to identify the actuator or sensor faults in dynamic control systems with high accuracy and convergence speed. On this basis, by exploiting the properties of network systems such as multi-agent systems and large-scale interconnected systems, this book introduces the concept of distributed intermediate estimator; faults in different nodes can be estimated simultaneously; meanwhile, satisfactory consensus performances can be obtained via compensation based protocols. Finally, the characteristics of the new fault estimation methodology are verified and discussed by a series of experimental results on networked multi-axis motion control systems. This book can be used as a reference book for researcher and designer in the field of fault diagnosis and fault-tolerant control and can also be usedas a reference book for senior undergraduate and graduate students in colleges and universities. . 410 0$aMathematics and Statistics Series 606 $aAutomatic control 606 $aRobotics 606 $aAutomation 606 $aTelecommunication 606 $aComputer networks 606 $aControl and Systems Theory 606 $aControl, Robotics, Automation 606 $aCommunications Engineering, Networks 606 $aComputer Communication Networks 615 0$aAutomatic control. 615 0$aRobotics. 615 0$aAutomation. 615 0$aTelecommunication. 615 0$aComputer networks. 615 14$aControl and Systems Theory. 615 24$aControl, Robotics, Automation. 615 24$aCommunications Engineering, Networks. 615 24$aComputer Communication Networks. 676 $a629.8312 700 $aZhu$b Jun-Wei$01263798 702 $aWang$b Xin 702 $aYang$b Guang-Hong 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910624379203321 996 $aFault estimation for network systems via intermediate estimator$93062399 997 $aUNINA