Chaotic Artificial Bee Colony Algorithm for System Identification of a Small-Scale Unmanned Helicopter

Chaotic Artificial Bee Colony Algorithm for System Identification of a Small-Scale Unmanned Helicopter

Blog Article

The purpose of this paper is devoted to developing a chaotic Alexithymia and internet gaming disorder in the light of depression: A cross-sectional clinical study artificial bee colony algorithm (CABC) for the system identification of a small-scale unmanned helicopter state-space model in hover condition.In order to avoid the premature of traditional artificial bee colony algorithm (ABC), which is stuck in local optimum and can not reach the global optimum, a novel chaotic operator with the characteristics of ergodicity and irregularity was introduced to enhance its performance.With input-output data collected from The Pilgrimage to the Holy Face of Lucca in 1896: Documents and News from the Archive of the Congregation of the Holy Face actual flight experiments, the identification results showed the superiority of CABC over the ABC and the genetic algorithm (GA).Simulations are presented to demonstrate the effectiveness of our proposed algorithm and the accuracy of the identified helicopter model.