Composite Disturbance Rejection Control (CDRC) for Complex Dynamic Systems introduces a range of innovative composite disturbance rejection control methods, integrating DOB, ADRC, and other advanced control algorithms. These methods are poised to enhance the control performance of diverse practical control systems in the presence of disturbances. Disturbances are pervasive in modern engineering systems, exerting a nonnegligible negative influence on system performance, and conventional control methods like PID exhibit limited efficacy in managing disturbances, while certain advanced control…mehr
Composite Disturbance Rejection Control (CDRC) for Complex Dynamic Systems introduces a range of innovative composite disturbance rejection control methods, integrating DOB, ADRC, and other advanced control algorithms. These methods are poised to enhance the control performance of diverse practical control systems in the presence of disturbances. Disturbances are pervasive in modern engineering systems, exerting a nonnegligible negative influence on system performance, and conventional control methods like PID exhibit limited efficacy in managing disturbances, while certain advanced control approaches face practical implementation challenges in real-world control systems for a multitude of reasons.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Jinhui Zhang earned his Ph.D. in Control Science and Engineering from Beijing Institute of Technology, China, in 2011. Prior to that, he held research roles at the University of Hong Kong and City University of Hong Kong in 2010-2011. He also served as a Visiting Fellow at the University of Western Sydney, Australia, in 2013. Later, he became an Associate Professor at Beijing University of Chemical Technology from 2011 to 2016 and a Professor at Tianjin University's School of Electrical and Automation Engineering from 2016 to 2016. Since joining Beijing Institute of Technology in October 2016, he has held the position of Professor. His research centres on networked control systems and composite disturbance rejection control.
Inhaltsangabe
1. Introduction Part I CDRC Methods for Complex Dynamic Systems: 2. DOB and ISMC Based CDRC for Systems With Disturbances 3. ESO Based Cooperative CDRC for Multi-Agent Systems With Disturbances 4. DOB Based CDRC for Markovian Jumping Systems With Disturbances 5. Extended SMO Based CDRC for Markovian Jumping Systems With Disturbances 6. Fuzzy SMC for Nonlinear Systems With Disturbances 7. DOB and SMC Based Fuzzy Fixed-Time CDRC for Nonlinear Systems With Disturbances Part II CDRC Applications 8. ESO-Based Composite Attitude Control for Quadrotor with Disturbances 9. DOB-Based Composite Attitude Control for Rigid Spacecraft With Disturbances 10. DOB-Based Composite Trajectory Tracking Control for Robot Manipulator With Disturbances 11. Variable Gain Composite Trajectory Tracking Control for Four-Mecanum-Wheel Mobile Vehicle 12. Variable Gain Composite Trajectory Tracking Control of Pneumatic Servo System
1. Introduction Part I CDRC Methods for Complex Dynamic Systems: 2. DOB and ISMC Based CDRC for Systems With Disturbances 3. ESO Based Cooperative CDRC for Multi-Agent Systems With Disturbances 4. DOB Based CDRC for Markovian Jumping Systems With Disturbances 5. Extended SMO Based CDRC for Markovian Jumping Systems With Disturbances 6. Fuzzy SMC for Nonlinear Systems With Disturbances 7. DOB and SMC Based Fuzzy Fixed-Time CDRC for Nonlinear Systems With Disturbances Part II CDRC Applications 8. ESO-Based Composite Attitude Control for Quadrotor with Disturbances 9. DOB-Based Composite Attitude Control for Rigid Spacecraft With Disturbances 10. DOB-Based Composite Trajectory Tracking Control for Robot Manipulator With Disturbances 11. Variable Gain Composite Trajectory Tracking Control for Four-Mecanum-Wheel Mobile Vehicle 12. Variable Gain Composite Trajectory Tracking Control of Pneumatic Servo System
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