Abstract

In this work, we consider a nonlinear epidemic model with a saturated incidence rate. we consider a population of size N(t) at time t, this population is divided into six subclasses, with N(t)=S(t)+I(t)+I₁(t)+I₂(t)+I₃(t)+Q(t). Where S(t), I(t), I₁(t), I₂(t), I₃(t), and Q(t) denote the sizes of the population susceptible to disease, infectious members, and quarantine members, respectively. We have made the following contributions: 1. The local stabilities of the infection-free equilibrium and endemic equilibrium are; analyzed, respectively. The stability of a disease-free equilibrium and the existence of other nontrivial equilibria can be determined by the ratio called the basic reproductive number. 2. We find the analytical solution of the nonlinear epidemic model by Homotopy perturbation method. 3. Finally the stochastic stabilities. The study of its sections are justified with theorems and demonstrations under certain conditions. In this work, we have used the different references cited in different studies in the three sections already mentioned.

Highlights

  • During the process of landing, the value of UAV landing speed is critically significant in case of landing on short runway or emergency landing

  • UAV is expected to land with a small landing speed; otherwise, the large landing speed may lead to unsafety circumstances such as the UAV going off the runway, the UAV may flip or change direction when landing

  • It can be apparently seen that the higher the landing speed is the more tension the trajectory has

Read more

Summary

Introduction

During the process of landing, the value of UAV landing speed is critically significant in case of landing on short runway or emergency landing. In this article, the authors establish a reference trajectory for UAV with consideration of values of different landing speed and optimal controls namely normal overload with restrictions, tangential overload with restrictions and lateral overload. This problem can be handled by 2 methods: analytical and numerical one. With the aim to establish a reference trajectory in the service of landing cases, the authors select the numerical method to solve the bespoken problem This method burgeons results in a quick manner in case of restricted control and variable boundaries. The simulation results show that the UAV lands with different speed values and the control is within the allowable range

Optimal Landing Trajectory
Parameter Continuation Method
Simulation Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.