Practical time-varying formation tracking for multiple non-holonomic mobile robot systems based on the distributed extended state observers

2018 ◽  
Vol 12 (12) ◽  
pp. 1737-1747 ◽  
Author(s):  
Jianglong Yu ◽  
Xiwang Dong ◽  
Qingdong Li ◽  
Zhang Ren
Keyword(s):  
Mobile Robot ◽  
Time Varying ◽  
Extended State ◽  
Formation Tracking ◽  
State Observers ◽  
Robot Systems ◽  
Holonomic Mobile Robot

State Feedback Control to Track a Moving Object for a Non-Holonomic Mobile Robot

2010 ◽  
Vol 44-47 ◽  
pp. 646-650 ◽  
Author(s):  
Yan Cui Hui ◽  
Yi Qiang Peng ◽  
Xian Ye
Keyword(s):  
Feedback Control ◽  
Velocity Profile ◽  
Mobile Robot ◽  
Control Algorithm ◽  
State Feedback ◽  
Moving Object ◽  
State Feedback Control ◽  
Time Varying ◽  
Holonomic Robot ◽  
Holonomic Mobile Robot

In this paper, a state feedback control algorithm for non-holonomic robot to track a moving object is described. In order to generate continuous velocity profile, some independent time varying functions are introduced for calculation the state feedback variables. The simulation of the control algorithm is implemented with MATLAB. The results shows that, with the designed state feedback control algorithm, the wheeled mobile robot can track a moving object and the trajectory is also reasonable.

Distributed sliding mode control for time-varying formation tracking of multi-UAV system with a dynamic leader

2021 ◽  
Vol 111 ◽  
pp. 106549
Author(s):  
Jianhua Wang ◽  
Liang Han ◽  
Xiwang Dong ◽  
Qingdong Li ◽  
Zhang Ren
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Time Varying ◽  
Mode Control ◽  
Formation Tracking ◽  
Multi Uav

scholarly journals Formation Tracking Control and Obstacle Avoidance of Unicycle-Type Robots Guaranteeing Continuous Velocities

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4374
Author(s):  
Jose Bernardo Martinez ◽  
Hector M. Becerra ◽  
David Gomez-Gutierrez
Keyword(s):  
Obstacle Avoidance ◽  
Tracking Control ◽  
Global Coordinate System ◽  
Avoidance Task ◽  
Time Varying ◽  
Control Laws ◽  
Formation Tracking ◽  
Control Scheme ◽  
First Time ◽  
Hierarchical Scheme

In this paper, we addressed the problem of controlling the position of a group of unicycle-type robots to follow in formation a time-varying reference avoiding obstacles when needed. We propose a kinematic control scheme that, unlike existing methods, is able to simultaneously solve the both tasks involved in the problem, effectively combining control laws devoted to achieve formation tracking and obstacle avoidance. The main contributions of the paper are twofold: first, the advantages of the proposed approach are not all integrated in existing schemes, ours is fully distributed since the formulation is based on consensus including the leader as part of the formation, scalable for a large number of robots, generic to define a desired formation, and it does not require a global coordinate system or a map of the environment. Second, to the authors’ knowledge, it is the first time that a distributed formation tracking control is combined with obstacle avoidance to solve both tasks simultaneously using a hierarchical scheme, thus guaranteeing continuous robots velocities in spite of activation/deactivation of the obstacle avoidance task, and stability is proven even in the transition of tasks. The effectiveness of the approach is shown through simulations and experiments with real robots.

scholarly journals Distributed Adaptive Formation Tracking Control under Fixed and Switching Topologies: Application on General Linear Multi-Agent Systems

Symmetry ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 941
Author(s):  
Tianhao Sun ◽  
Huiying Liu ◽  
Yongming Yao ◽  
Tianyu Li ◽  
Zhibo Cheng
Keyword(s):  
Switching Topology ◽  
General Linear ◽  
Time Varying ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Agent System ◽  
Switching Topologies ◽  
Formation Tracking ◽  
Leader Following ◽  
Multi Agent

In this paper, the time-varying formation tracking problem of the general linear multi-agent system is discussed. A distributed formation tracking protocol based on Riccati inequalities with adaptive coupling weights among the follower agents and the leader agent is designed for a leader-following multi-agent system under fixed and switching topologies. The formation configuration involved in this paper is expressed as a bounded piecewise continuously differentiable vector function. The follower agents will achieve the desired formation tracking trajectory of the leader. In traditional static protocols, the coupling weights depend on the communication topology and is a constant. However, in this paper, the coupling weights are updated by the state errors among the neighboring agents. Moreover, the stability analysis of the MAS under switching topology is presented, and proves that the followers also could achieve pre-specified time-varying formation, if the communication graph is jointly connected. Two numerical simulations indicate the capabilities of the algorithms.

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