Robotic Manipulators and Vehicles
Control, Estimation and Filtering
Nonfiction, Science & Nature, Technology, Automation, Robotics
| Author: | Gerasimos Rigatos, Krishna Busawon | ISBN: | 9783319778518 |
| Publisher: | Springer International Publishing | Publication: | May 24, 2018 |
| Imprint: | Springer | Language: | English |
| Author: | Gerasimos Rigatos, Krishna Busawon |
| ISBN: | 9783319778518 |
| Publisher: | Springer International Publishing |
| Publication: | May 24, 2018 |
| Imprint: | Springer |
| Language: | English |
This monograph addresses problems of:
• nonlinear control, estimation and filtering for robotic manipulators (multi-degree-of freedom rigid-link robots, flexible-link robots, underactuated, redundant and cooperating manipulators and closed-chain robotic mechanisms); and
• nonlinear control, estimation and filtering for autonomous robotic vehicles operating on the ground, in the air, and on and under water, independently and in cooperating groups.
The book is a thorough treatment of the entire range of applications of robotic manipulators and autonomous vehicles. The nonlinear control and estimation methods it develops can be used generically, being suitable for a wide range of robotic systems. Such methods can improve robustness, precision and fault-tolerance in robotic manipulators and vehicles at the same time as enabling the reliable functioning of these systems under variable conditions, model uncertainty and external perturbations.
This monograph addresses problems of:
• nonlinear control, estimation and filtering for robotic manipulators (multi-degree-of freedom rigid-link robots, flexible-link robots, underactuated, redundant and cooperating manipulators and closed-chain robotic mechanisms); and
• nonlinear control, estimation and filtering for autonomous robotic vehicles operating on the ground, in the air, and on and under water, independently and in cooperating groups.
The book is a thorough treatment of the entire range of applications of robotic manipulators and autonomous vehicles. The nonlinear control and estimation methods it develops can be used generically, being suitable for a wide range of robotic systems. Such methods can improve robustness, precision and fault-tolerance in robotic manipulators and vehicles at the same time as enabling the reliable functioning of these systems under variable conditions, model uncertainty and external perturbations.
