Collective Behavior Coordination with Predictive Mechanisms

Abstract

1Published in "IEEE Circuits and Systems Magazine 6(3): 67 -85 , 2008" which should be cited to refer to this work.

Second-order consensus predictive control for 360MN extrusion machine

“…For example, the feasible range of sampling period was remarkably expanded and the convergence speed was significantly improved, compared with routine consensus control (Trecate, Galbusera, Marciandi, & Scattolini, 2009;Zhang, Chen, & Stan, 2011;Zhang, Chen, Stan, Zhou, & Maciejowski, 2008;Zhang, Chen, & Zhou, 2009;.…”

A novel alignment repulsion algorithm for flocking of multi-agent systems based on the number of neighbours per agent

“…Email: r.kahani@srbiau.ac.ir separation and cohesion problems, the graph theory is used to analyse consensus problems in Ren and Beard (2005), and a Lyapunov-based approach is proposed for jointly connected interconnection topologies in Hong, Gao, Cheng, and Hu (2007). Later, in Zhang, Chen, Stan, Zhou, and Maciejowski (2008) and Zhang, Chen, and Zhou (2009), the role of predictive mechanisms is used to reduce the communication cost and improve consensus in the forming and evolving of flocks/swarms using both numerical simulations and mathematical analyses. Recently, more breakthroughs on Reynolds flocking model have been achieved including a discussion of flocking in case of speed sensor failure in Wen, Duan, Li, and Chen (2012) and flocking control problem of multi-agent systems with connectivity preserving mechanism in another work by Wen, Duan, Su, Chen, and Yu (2012) and the model predictive control flocking of a networked multi-agent system is proposed based on position measurements in Zhan and Li (2013).…”

Set-based model predictive consensus under bounded additive disturbances

“…Several papers (e.g., [18], [19], [20], [21] and [22]) have explored them in the context of consensus problems. In [18], the authors have used predictive control techniques for having a collective behavior among agents. In [19], the geometric properties of the optimal path have been used to prove the convergence of a distributed MPC-based The authors are with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, e-mail: ajay0005@ntu.edu.sg, eycsoh@ntu.edu.sg, eycchu@ntu.edu.sg.…”

“…MPC-based approaches have been employed for the distributed control of a system with dynamically decoupled subsystems in works such as [15]- [17]. Several papers (e.g., [18], [19], [20], [21] and [22]) have explored them in the context of consensus problems. In [18], the authors have used predictive control techniques for having a collective behavior among agents.…”