This work presents a review and discussion of the challenges that must be solved in order to
successfully develop swarms of Micro Air Vehicles (MAVs) for real world operations. From …

Control problems such as multirobot control, distributed intelligence, swarm intelligence,
distributed decision, distributed cognition, congestion control in networks, collective motion …

As an effective evolutionary algorithm, particle swarm optimization (PSO) has been widely
used to solve single or multi-objective optimization problems. However, the performance of …

At publication, The Control Handbook immediately became the definitive resource that
engineers working with modern control systems required. Among its many accolades, that …

SI can be seen also as part of the broader field of computational intelligence (CI)(Keller et al.
2016), which comprises computational methods for problems not solvable by the first …

A swarm is a large number of homogenous, simple agents interacting locally among
themselves, and their environment, with no central control to allow a global interesting …

In this paper, a distributed controller–observer schema for tracking control of the centroid
and of the relative formation of a multi-robot system with first-order dynamics is presented …

Distance measurements are not the only geometric quantities that can be used for multi-
agent formation shape control. Bearing measurements can be used in conjunction with …

In this brief, we introduce a graph rigidity-based, adaptive formation control law for multiple
robotic vehicles moving on the plane that explicitly accounts for the vehicle dynamics while …

The paper considers a solution to the problem of developing two-stage hybrid SVM-kNN
classifiers with the aim to increase the data classification quality by refining the classification …