A Closer Look at Formation Control

Dianwei Qian (Editor)

Series: Computer Science, Technology and Applications

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$160.00

Volume 10

Issue 1

Volume 2

Volume 3

Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

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Formation control is one of the most challenging problems in cooperative multi-robots. It is defined as a coordination of a group of robots to get into and to maintain a formation with a certain shape. The formation control problem has drawn significant attention for many years, and now it is well understood and tends to be mature. This control problem is originated from biological inspires such as flocking and schooling.

Its classification includes formation shape generation, formation reconfiguration and selection, formation tracking, and role assignment in formation. It also has potential applications in search and rescue missions, forest fire detection and surveillance, etc. It can be extended to many real world systems, autonomous robots, such as underwater vehicles, unmanned aerial vehicles, mobile sensor networks, rectangular agents, nonholonomic mobile robots, to name but a few.

Apparently, the book cannot include all research topics. The editor and the authors wish that it could reveal some tendencies on this research field and benefit readers. In this book, different aspects of formation control are explored. Chapters includes some new tendencies and developments in research on several formation methods of multi-robot systems, that is, the 1st-order sliding mode control, the 2nd-order sliding mode control, the integral sliding mode control, the terminal sliding mode control, the sliding model control of multi-agents and the fuzzy-based formation control of multiple quadrotor systems. (Imprint: Nova)

Preface

Chapter 1. Modelling of Leader-Follower Formations
(Dianwei Qian, School of Control and Computer Engineering, North China Electric Power University, Beijing, China)

Chapter 2. 1st-Order Sliding Mode-Based Formation Design
(Dianwei Qian and Fengyang Han, School of Control and Computer Engineering, North China Electric Power University, Beijing, China)

Chapter 3. Coordinated Formation via an Adaptive-Gain 2nd-Order Sliding Mode Method
(Dianwei Qian and Jiarong Chen, School of Control and Computer Engineering, North China Electric Power University, Beijing, China)

Chapter 4. Integral Sliding Mode-Based Formation Maneuvers of Multi-Agent Robots
(Dianwei Qian and Fengyang Han, School of Control and Computer Engineering, North China Electric Power University, Beijing, China)

Chapter 5. Leader-Following Formation Control of Multiple Agents via Derivative and Integral Terminal Sliding Mode
(Dianwei Qian and Yafei Xi, School of Control and Computer Engineering, North China Electric Power University, Beijing, China)

Chapter 6. Extreme Learning Machine-Based Sliding Mode Formation Maneuvers for Multi-Robot Systems
(Dianwei Qian and Jiarong Chen, School of Control and Computer Engineering, North China Electric Power University, Beijing, China)

Chapter 7. Formation Design of Multiple Agents With Uncertainties by Integral Sliding Mode
(Dianwei Qian and Chao Ma, School of Control and Computer Engineering, North China Electric Power University, Beijing, China)

Chapter 8. A Fuzzy Logic-Based Adaptive Strictly Negative-Imaginary Formation Controller for Multi-Quadrotor Systems
(Vu Phi Tran Fendy Santoso and Matthew A. Garratt, School of Engineering and Information Technology, University of New South Wales, Canberra, Australia)

Index

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