Smoothed particle hydrodynamics (SPH) is a meshfree particle method based on
Lagrangian formulation, and has been widely applied to different areas in engineering and …

Self-organised emergent patterns can be widely seen in natural and man-made complex
systems generated by interactions among local components without external or global …

This paper presents a methodology for computation of artificial vector fields that allows a
robot to converge to and circulate around generic curves specified in n-dimensional spaces …

The focus of this study is on the design of feedback control laws for swarms of robots that are
based on models from fluid dynamics. We apply an incompressible fluid model to solve a …

Multi-scale and multi-physics modeling is useful and important for all areas in engineering
and sciences. Particle Methods for Multi-Scale and Multi-Physics systematically addresses …

We present an approach to designing scalable, decentralized control policies that produce a
desired collective behavior in a spatially inhomogeneous robotic swarm that emulates a …

The proportional and derivative (PD) and proportional, integral, and derivative (PID)
controllers have been used extensively in industry due to their simplicity and effectiveness …

The task of multi-target trapping in swarm robots can often be solved by global shape
planning and target assignment, but it still remains a challenge to achieve fully self …

A fluid dynamic algorithm based on smoothed particle hydrodynamics (SPH) is proposed for
coordination of a team of unmanned aerial vehicles (UAVs) in a wireless sensor network …

We address the problem of pattern generation in obstacle-filled environments by a swarm of
mobile robots. Decentralized controllers are devised by using the Smoothed Particle …