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010 ▼a 2022059760
015 ▼a GBC380817 ▼2 bnb
0167 ▼a 021033750 ▼2 Uk
020 ▼a 9781000892468 ▼q electronic book
020 ▼a 1000892468 ▼q electronic book
020 ▼a 9781003399230 ▼q electronic book
020 ▼a 1003399231 ▼q electronic book
020 ▼a 1000892476 ▼q electronic book
020 ▼a 9781000892475 ▼q (electronic bk.)
020 ▼z 9781032505992 ▼q hardcover
0247 ▼a 10.1201/9781003399230 ▼2 doi
035 ▼a 3612928 ▼b (N$T)
035 ▼a (OCoLC)1378832635
037 ▼a 9781003399230 ▼b Taylor & Francis
040 ▼a DLC ▼b eng ▼e rda ▼c DLC ▼d YDX ▼d TYFRS ▼d UKMGB ▼d UKAHL ▼d OCLCF ▼d YDX ▼d N$T ▼d 248032
042 ▼a pcc
049 ▼a MAIN
05004 ▼a QA402.35 ▼b .Z43 2023
072 7 ▼a TEC ▼x 004000 ▼2 bisacsh
072 7 ▼a TEC ▼x 009070 ▼2 bisacsh
072 7 ▼a TEC ▼x 018000 ▼2 bisacsh
072 7 ▼a TJFM ▼2 bicssc
08200 ▼a 629.8/36 ▼2 23/eng20230511
1001 ▼a Zhang, Chuanlin, ▼d 1986-, ▼e author.
24510 ▼a Nonrecursive control design for nonlinear systems : ▼b theory and applications / ▼c Chuanlin Zhang and Jun Yang.
250 ▼a First edition.
264 1 ▼a Boca Raton, FL : ▼b CRC Press, ▼c 2023.
264 4 ▼c 짤2023
300 ▼a 1 online resource (xxix, 251 pages) : ▼b illustrations (chiefly color)
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a computer ▼b c ▼2 rdamedia
338 ▼a online resource ▼b cr ▼2 rdacarrier
504 ▼a Includes bibliographical references.
5050 ▼a Nonrecursive robust stabilization for uncertain nonlinear systems -- Practically-oriented finite-time tracking control for nonlinear systems -- Nonrecursive adaptive control for nonlinear systems with non-parametrized uncertainties -- Nonrecursive robust output regulation for nonlinear systems with mismatched disturbances -- Nonrecursive adaptive output regulation for nonlinear systems with mismatched disturbances -- Application to permanent magnet synchronous motor systems -- Application to series elastic actuator systems -- Applications to DC microgrid systems.
520 ▼a "Based on the authors' recent advances, this book focuses on a class of nonlinear systems with mismatched uncertainties/disturbances and discusses their typical control problems. It aims to provide a comprehensive view of the non-recursive control theory and application guidelines. Various applications on the non-recursive synthesis of complex nonlinear systems not only greatly simplify the control design process, weaken the system assumptions, and reduce the conservatism of gain selection, but also realize the essential detachment of control law design and Lyapunov function-based stability analysis. Therefore, different from the classical recursive control design methods, it is of significance to study the synthesis of nonlinear systems from the perspective of a new non-recursive control framework. This book discusses the following typical control problems: theoretical background, homogeneous systems theory review, non-recursive robust control design, non-recursive adaptive control design, non-recursive general dynamic predictive control, disturbance estimation and attenuation, non-recursive stability analysis, implementation theory and real-life applications to Series Elastic Actuators, DC microgrids, Permanent Magnet Synchronous Motor (PMSM) systems, etc. under the proposed non-recursive synthesis framework. This book will be a great reference for scholars and students in the field of automation and control. It will also be a useful source for control engineers and those working on anti-disturbance control, nonlinear output regulation, nonsmooth control, and other related topics"-- ▼c Provided by publisher.
5450 ▼a Chuanlin Zhang received the B.S. degree in mathematics and the Ph.D degree in control theory and control engineering from the School of Automation, Southeast University, Nanjing, China, in 2008 and 2014, respectively. He was a Visiting Ph.D. Student with the Department of Electrical and Computer Engineering, University of Texas at San Antonio, USA, from 2011 to 2012; a Visiting Scholar with the Energy Research Institute, Nanyang Technological University, Singapore, from 2016 to 2017; a visiting scholar with Advanced Robotics Center, National University of Singapore, from 2017 to 2018. He has been with the College of Automation Engineering, Shanghai University of Electric Power, China since 2014, where he is currently a professor and director of Intelligent Autonomous Systems Lab. His research interests include nonlinear system control theory and applications for power systems. Jun Yang received the B.Sc. Degree in automation from the Department of Automatic Control, Northeastern University, Shenyang, China, in 2006, and the Ph.D. degree in control theory and control engineering from the School of Automation, Southeast University, Nanjing, China in 2011. He joined the Department of Aeronautical and Automotive Engineering at Loughborough University from 2020 as a Senior Lecturer. His research interests include disturbance observer, motion control, visual servoing, nonlinear control and autonomous systems. He is a Fellow of IEEE and IET.
588 ▼a Description based on online resource; title from digital title page (viewed on July 24, 2023).
590 ▼a Added to collection customer.56279.3
650 0 ▼a Nonlinear systems.
650 0 ▼a Nonlinear control theory.
650 7 ▼a TECHNOLOGY / Automation ▼2 bisacsh
650 7 ▼a TECHNOLOGY / Engineering / Mechanical ▼2 bisacsh
650 7 ▼a TECHNOLOGY / Industrial Technology ▼2 bisacsh
650 7 ▼a Nonlinear control theory. ▼2 fast ▼0 (OCoLC)fst01038787
650 7 ▼a Nonlinear systems. ▼2 fast ▼0 (OCoLC)fst01038810
7001 ▼a Yang, Jun, ▼d 1984-, ▼e author.
77608 ▼i Print version: ▼a Zhang, Chuanlin, 1986- ▼t Nonrecursive control design for nonlinear systems ▼d Boca Raton : CRC Press, 2023 ▼z 9781032505992 ▼w (DLC) 2022059759
85640 ▼3 EBSCOhost ▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3612928
938 ▼a EBSCOhost ▼b EBSC ▼n 3612928
990 ▼a 관리자
994 ▼a 92 ▼b N$T