Cantitate/Preț
Produs

Distributed Parameter Modeling and Boundary Control of Flexible Manipulators

Autor Jinkun Liu, Wei He
en Limba Engleză Hardback – 26 apr 2018
The book investigates fundamental issues in flexible manipulator systems, including distributed parameter modeling and boundary controller design. It presents theoretical explorations of several fundamental problems concerning the dynamics and control of these systems. By integrating fresh concepts and results to form a systematic approach to control, it also provides a basic theoretical framework.
In turn, the book offers a comprehensive treatment of flexible manipulator systems, addressing topics ranging from related distributed parameter modeling and advanced boundary controller design for these systems with input constraint, to active control with output constraint.
In brief, the book addresses dynamical analysis and control design for flexible manipulator systems. Though primarily intended for researchers and engineers in the control system and mechanical engineering community, it can also serve as supplemental reading on the modeling and control of flexible manipulator systems at the postgraduate level.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 72070 lei  6-8 săpt.
  Springer Nature Singapore – 29 dec 2018 72070 lei  6-8 săpt.
Hardback (1) 72669 lei  6-8 săpt.
  Springer Nature Singapore – 26 apr 2018 72669 lei  6-8 săpt.

Preț: 72669 lei

Preț vechi: 88621 lei
-18% Nou

Puncte Express: 1090

Preț estimativ în valută:
13908 14464$ 11638£

Carte tipărită la comandă

Livrare economică 14-28 martie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9789811082993
ISBN-10: 9811082995
Pagini: 141
Ilustrații: XIII, 154 p. 46 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.42 kg
Ediția:1st ed. 2018
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore

Cuprins

Introduction.- Mathematical Preliminaries.- PDE Modeling for Flexible Manipulator.- PDE Boundary Control Using Singular Perturbation Approach.- Boundary Control for Flexible Manipulator with Exponential Convergence.- Boundary Control for a Flexible Manipulator with LaSalle Analysis.- Boundary Control for a Flexible Manipulator with State Constraints Using Barrier Lyapunov Function.- Boundary Control of Flexible Manipulator with Input Constraints.- A Robust Observer Design for Flexible Manipulator Based on PDE Model.- Infinite Dimensional Disturbance Observer for Flexible Manipulator.- Boundary Control for a Flexible Manipulator with Guaranteed Transient Performance.- Conclusions.

Notă biografică

Professor Jinkun Liu received BS, MS and PhD degrees from Northeastern University, Shenyang, China, in 1989, 1994 and 1997, respectively. He was a postdoctoral fellow at Zhejiang University, Zhejiang, China from 1997 to 1999, and is currently a full professor at Beihang University, Beijing, China. He has published more than 100 research papers and eight books. His research interests include intelligent control and sliding mode control; partial differential equation (PDE) modeling and boundary control; application areas related to motion control, such as flight control and robotic control, especially for under-actuated systems.

Professor Wei He received his PhD from Department of Electrical & Computer Engineering, National University of Singapore (NUS), Singapore, in 2011, his M.Eng. and B.Eng. degrees both from School of Automation Science and Engineering, South China University of Technology (SCUT), Guangzhou, China, in 2008 and 2006, respectively. He iscurrently working as the Full Professor at School of Automation and Electric Engineering, University of Science and Technology Beijing (USTB), Beijing, China. He is a senior member of IEEE, the member of IEEE Control System Society (CSS), IEEE Computational Intelligence Society (CIS) and IEEE Industrial Electronics Society (IES). He has been awarded a Newton Advanced Fellowship from The Royal Society, London, UK in 2017. He is a recipient of the IEEE SMC Society Andrew P. Sage Best Transactions Paper Award in 2017. He is serving as the Associate Editor of IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Neural Networks and Learning Systems, and IEEE Access, the Editor of Neurocomputing, Journal of Intelligent and Robotic Systems, Springer, and the Editor of IEEE/CAA Journal of Automatica Sinica. He is the member of the IFAC TC on Distributed Parameter Systems, IFAC TC on Computational Intelligence in Control and IEEE CSS TC on Distributed Parameter Systems. He served as Publication Chair for WCICA 2016, National Organizing Committee Chair for IEEE ICARM 2016 and IFAC ICONS 2013, Program Chair for 2012 IWR, Finance Chair for 2012 ICSR, etc. His current research interests include vibration control, adaptive control and robotics.

Textul de pe ultima copertă

The book investigates fundamental issues in flexible manipulator systems, including distributed parameter modeling and boundary controller design. It presents theoretical explorations of several fundamental problems concerning the dynamics and control of these systems. By integrating fresh concepts and results to form a systematic approach to control, it also provides a basic theoretical framework.
In turn, the book offers a comprehensive treatment of flexible manipulator systems, addressing topics ranging from related distributed parameter modeling and advanced boundary controller design for these systems with input constraint, to active control with output constraint.
In brief, the book addresses dynamical analysis and control design for flexible manipulator systems. Though primarily intended for researchers and engineers in the control system and mechanical engineering community, it can also serve as supplemental reading on the modeling and control of flexible manipulator systems at the postgraduate level.

Caracteristici

Features a range of sample controller designs for flexible manipulators Includes typical stability analysis Provides practical design examples and MATLAB codes for each control algorithm