Radial Basis Function News Today

Scientists from the Aerospace Information Research Institute (AIR) at the Chinese Academy of Sciences (CAS) have introduced an enhanced algorithm known as Dynamic Quantum Particle Swarm Optimization (DQPSO) to enhance the precision and dependability of pressure sensors utilized in the tracking and monitoring of wild migratory birds.

This paper proposes an adaptive sliding mode control based on an auxiliary distance sensor for nonlinear platoons over vehicular ad-hoc networks under Denial-of-Services (DoS) attacks and external disturbances. DoS attacks can cause packet dropping for the wireless network and will lead to the collision or degradation to adaptive cruise control of platoons. To solve this problem, an adaptive Radial Basis Function (RBF) sliding mode control method is proposed for the attacked platoons. RBF neural...

Unmanned vehicles, both surface and airborne, are increasingly being used for hydrographic surveying. While the technology of data acquisition using t...