introduction this paper proposes the concept of autonomous drug-encapsulated nanoparticle (adenp) as a novel non-invasive approach to prevent atherosclerosis. adenp consists of three simple units of sensor, controller (computing), and actuator. the hardware complexity of adenp is much lower than most of the nanorobots, while the performance is maintained by the synergism in the swarm architectu...

the purpose of load frequency control is to reduce transient oscillation frequencies than its nominal valueand achieve zero steady-state error for it.a common technique used in real applications is to use theproportional integral controller (pi). but this controller has a longer settling time and a lot of extramutation in output response of system so it required that the parameters be adjusted ...

A decentralized control strategy for a robot swarm is presented, where each robot try to form a regular tetrahedron with its three neighbors. The proposed method is based on virtual spring and demands minimum local information. Four neighboring robots can form a regular tetrahedron formation regardless of their initial positions. A neighbor selection procedure is used to extend the strategy In ...

In this paper we present the first study of human-swarm interaction comparing two fundamental types of interaction, coined intermittent and environmental. These types are exemplified by two control methods, selection and beacon control, made available to a human operator to control a foraging swarm of robots. Selection and beacon control differ with respect to their temporal and spatial influen...

A framework for incorporating a swarm intelligent system with the Dynamic Data Driven Application System (DDDAS) is presented. Swarm intelligent systems, or artificial swarms, self-organize into useful emergent structures that are capable of solving complex problems, but are difficult to control and predict. The DDDAS concept utilizes repeated simulations of an executing application to improve ...

In this paper we evaluate the scalability of human-swarm interaction (HSI) in terms of operator workload and asses the impact of three control methods on swarm performance and operator workload. Specifically, we investigate the ability of HSI to (1) overcome fanout limitations of traditional supervisory control and (2) manage a wide range of team sizes without altering the operator’s control st...

Swarm coordination and formation control designs focus on multi-agent dynamic system behavior and aim to achieve desired coordinated behavior or predefined geometric shape. They utilize techniques from the control theory and graph theory literature. On the other hand, adaptive control theory is concerned with uncertainties in the system dynamics, and has structured frameworks for various types ...

This paper presents a new approach to control robots, which can quickly find their swarm while tracking a moving target through the obstacles of the environment. In this approach, an artificial potential field is generated between each free-robot and the virtual attractive point of the swarm. This artificial potential field will lead free-robots to their swarm. The swarm-finding of these freero...