Intelligent metasurfaces: control, communication and computing

Soft Computing for Intelligent Control of Nonlinear

We describe in this paper the application of soft computing techniques to controlling non-linear dynamical systems in real-world problems. Soft computing consists of fuzzy logic, neural networks , evolutionary computation, and chaos theory. Controlling real-world non-linear dynamical systems may require the use of several soft computing techniques to achieve the desired performance in practice....

Control, Communication and Computing Units: Converged Architectures

In this research paper, some of the promising recent technologies are summarized. It is proposed that hybridization of some of these technologies leads to innovative products. The main theme of this research paper is to arrive at automata realizing the convergence of communication, control and computation functions.

Intelligent Control Systems Using Soft Computing Methodologies

Intercell wireless communication in software-defined metasurfaces

Tunable metasurfaces are ultra-thin, artificial electromagnetic components that provide engineered and externally adjustable functionalities. The programmable metasurface, the HyperSurFace, concept consists in integrating controllers within the metasurface that interact locally and communicate globally to obtain a given electromagnetic behaviour. Here, we address the design constraints introduc...

Soft Computing for Intelligent Control and Mobile Robotics

This paper describes the design of a locomotion controller to regulate the pose of a nonholonomic mobile robot with frontal differential driving wheels, and a swivel castor wheel in rear. Differently to common proposals base on dynamic models, this controller uses the kinematics model and the mobile robot architecture to generate the adequate linear and angular speeds to reach the desired pose....