In swarm robotics multiple robots collectively solve problems by forming advantageous
structures and behaviors similar to the ones observed in natural systems, such as swarms of …

This paper proposes a combination of finite-time robust-tracking theory and composite
nonlinear feedback approach for the finite-time and high performance synchronization of the …

Chaos theory has wide applications and its importance can be seen by the voluminous
publications on various applications in several branches of science, commerce and …

This article presents a multi-robot system that forms emergent space-time patterns. Inspired
by the theory of swarmalators, in which synchronization and swarming of agents are …

This research work proposes a seven-term 3-D novel dissipative chaotic system with four
quadratic nonlinearities. The Lyapunov exponents of the 3-D novel chaotic system are …

Intelligence in current AI research is measured according to designer-assigned tasks that
lack any relevance for an agent itself. As such, tasks and their evaluation reveal a lot more …

Networks of dynamical systems are common models for many problems in physics,
engineering, chemistry, biology, and social sciences [1],[2],[3]. Recently, considerable …

In this paper, we investigate distributed optimal control of a multi-agent consensus problem
in an obstacle-laden environment. A new optimal control protocol is proposed which can let …

Cooperative multirobot systems coordinate their motion by exchanging information through
consensus schemes to achieve a common goal. In the event of stealthy cyber attacks …

This paper deals with pinning synchronization problem of fractional-order complex networks
with Lipschitz-type nonlinear nodes and directed communication topology. We first …