- Inbunden (Hardback)
- Antal sidor
- CRC Press Inc
- Yang, Jun / Chen, Wen-Hua
- black and white 115 Illustrations 10 Tables black and white
- 10 Tables, black and white; 115 Illustrations, black and white
- 234 x 158 x 25 mm
- Antal komponenter
- 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam
- 635 g
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Disturbance Observer-Based Control
Methods and Applications
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Shihua Li was born in Pingxiang, Jiangxi Province, China in 1975. He received his bachelor, master, and Ph.D. degrees all in Automatic Control from Southeast University, Nanjing, China in 1995, 1998 and 2001, respectively. Since 2001, he has been with School of Automation, Southeast University, where he is currently a professor. His main research interests include nonlinear control theory with applications to robots, spacecraft, AC motors and other mechanical systems. He's senior member of IEEE, published over 100 academic papers in journals including Automatica, IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics, International Journal of Systems Science, International Journal of Control, Aerospace Science and Technology, etc.. Jun Yang received his B.S. degree in the Department of Automatic Control from Northeastern University, Shenyang, China in 2006. In 2011, he received the Ph.D. degree in control theory and control engineering from School of Automation, Southeast University, Nanjing, China, where he is currently a lecturer. His research interests include disturbance estimation and compensation, advanced control theory and its application to flight control systems, motion control systems and process control systems. Wen-Hua Chen received his M.S. and Ph.D. degrees from Department of Automatic Control at Northeast University, China, in 1989 and 1991, respectively. From 1991 to 1996, he was a lecturer in Department of Automatic Control at Nanjing University of Aeronautics and Astronautics, China. He held a research position and then a lectureship in control engineering in Centre for Systems and Control at University of Glasgow, UK, from 1997 to 2000. He currently holds a senior lectureship in flight control systems in Department of Aeronautical and Automotive Engineering at Loughborough University, UK. He has published more than 100 articles in journals and conferences. His research interests include the development of advanced control strategies and their applications in aerospace engineering. Xisong Chen received his B.S. degrees from School of Electronic Science and Engineering at Jilin University, China, in 1992. He received his M.S. and Ph.D. degrees from School of Automation at Southeast University, in 2002 and 2009, respectively. Since 2002, he has been with School of Automation, Southeast University, where he is currently a professor. His research interests include advanced control strategies, disturbance attenuation methods and their applications in process control engineering.
OVERVIEW Overview Introduction Motivations High-Gain Control Integral Control Disturbance Observer-Based Control Basic Framework Frequency Domain Formulation Time Domain Formulation Early History An Overview on Disturbance Estimation Approaches Linear Disturbance Observer Nonlinear Disturbance Observer An Overview of Disturbance Estimation-Based Control Approaches Robustness Performance and Stability Composite Hierarchical Anti-DisturbanceControl Compensation of Mismatched Disturbances DISTURBANCE ESTIMATION DESIGN Linear Disturbance Estimator Introduction Frequency Domain Disturbance Observer Minimum-Phase Case Nonminimum Phase Case Time Domain Disturbance Observer Extended State Observer Summary Basic Nonfinear Disturbance Observer Introduction Nonlinear Disturbance Observer for Constant Disturbances A Basic Formulation An Enhanced Formulation Nonlinear Disturbance Observer for General Exogenous Disturbances A Basic Formulation An Enhanced Formulation Summary Advanced Nonfinear Disturbance Observer Introduction High-Order Disturbance Observer Constant Disturbance Case Ramp Disturbance Case High-Order Disturbance Case Extended High-Gain State Observer Finite-Time Disturbance Observer Summary DISTURBANCE OBSERVER-BASED CONTROL DESIGN Disturbance Observer-Based Control for Nonfinear Systems Introduction A General Design Framework Nonlinear Disturbance Observer-Based Control (NDOBC) Nonlinear Disturbance Observer Composite Controller Design Example Study Summary Generalized Extended State-Observer-Based Control for Systems with Mismatched Uncertainties Introduction Generalized Extended-State Observer-Based Control (GESOBC) Composite Control Design Stability and Disturbance Rejection Analysis Case of Measurable States Case of Unmeasurable States Simulation Example Further Discussions Extension to MIMO System Solvability of the Disturbance Compensation Gain Controllable Condition Parameter Design for GESOBC Summary Nonfinear Disturbance Observer-Based Control for Systems with Mismatched Uncertainties Introduction Problem Formulation Novel Nonlinear Disturbance Observer-Based Control Controller Design Stability Analysis Disturbance Attenuation Analysis Application to A Nonlinear Missile Longitudinal Dynamics of A Missile System Nonlinear Dynamic Inversion Control Nonlinear Disturbance Observer-Based Robust Control Simulation Studies External Disturbance Rejection Ability Robustness Against Model Uncertainties Summary Nonfinear Disturbance Observer-Based Control for Systems with Arbitrary Disturbance Relative Degrees Introduction Problem Formulation NDOBC for SISO Nonlinear System with Arbitrary DRD Control Law Design Stability Analysis NDOBC for MIMO Nonlinear Systems with Arbitrary DRDs Control Law Design Stability Analysis An Illustrative Example Summary Linear/Nonfinear Disturbance Observer-Based Sliding Mode Control for Systems with Mismatched Uncertainties Introduction Linear Disturbance Observer-Based Sliding-Mode Control Problems of the Existing SMC Methods Novel SMC Method Based on a Disturbance Observer Control Design Stability Analysis An Illustrative Example Nominal Performance Recovery Chattering Reduction Nonlinear Disturbance Observer-Based Nonsingular Terminal Sliding-Mode Control Problem of the Existing NTSMC Methods Novel NTSMC Method Based on a Finite-Time Disturbance Observer Finite-Time Disturbance Observer Control Design and Stability Analysis An Illustrative Example Summary APPLICATION TO PROCESS CONTROL SYSTEMS Application to Process Control Systems Introduction System Modeli