Kongzhi yu Juece/Control and Decision (ISSN:1001-0920) is a monthly peer-reviewed scopus indexed journal originally founded in 1986. It is sponsored by the Ministry of Education, china and Northeastern University, china. Kongzhi yu Juece/Control and Decision (ISSN:1001-0920) has always adhered to the correct purpose of running the journal, and has been committed to gathering and disseminating excellent academic achievements, inspiring technological innovation, and promoting the development of disciplines in my country.Aiming at major national needs and international frontiers, this journal has published a large number of original and high-level research result. The journal was selected into the "China Science and Technology Journal Excellence Action Plan Project" in December 2019.In the future, it will strive to build an open innovation, collaborative integration.
In this paper, we will study a prey-predator model with predators structured as immature and mature. For harvesting species, the fraction of stock available for prey and the fraction of stock available for predators are taken into account. Our analysis will focus on the permanence of system, the equilibrium points and the optimal harvesting strategy for prey and mature predators. Numerical simulations are being conducted to confirm the theoretical results of our work.
To address the problem that power dispatch communication networks are prone to abnormal behaviors such as anomalous flows and at the same time reduce the reliability of power dispatch, we have investigated a machine learning Bayesian algorithm-based security situational awareness method for power dispatch. Specifically, we use the Hadoop platform to collect power dispatch data corresponding to the security situational awareness impact indicators. At the same time, we use the subject model algorithm to project the collected power dispatch data into the optimal identification vector space to det
In this article, we study the distribution for ,where is the partial differential operator related to Laplace operator iterated times, is the Dirac delta distribution, is a variable in , and ) is a constant. In particular, we study the application of for solving the solution of some convolution equation. We find that the types of solutions to such convolution equations, such as the ordinary function and the singular distribution, depend on the relationship between and
Unmanned Aerial Vehicle (UAV) have gained widespread application across various fields due to their low cost, high maneuverability, and ease of operation. However, challenges remain in optimizing path planning and energy consumption for UAV multi target attacks. The Sparrow Search Algorithm (SSA) is a novel metaheuristic optimization approach that emulates the social interaction and flight patterns of sparrows to maximize search efficiency. This paper proposed an Improved Sparrow Search Algorithm (ISSA) that first utilizes the Singer chaos ma p to enhance the initial population distribution, t
The escalating reliance on unmanned flying vehicles in many domains highlights the need for robust security measures against cyber attack, physical attack, and the combination of cyber and physical attack. This paper explores the performance of several machine learning techniques (Random Forests, K-Nearest Neighbors, Support Vector Machines, and K-means Clustering) in identifying such threats using a comprehensive dataset that combines cyber and physical properties. We evaluate the performance of these algorithms in three different contexts: we evaluate the performance of these algorithms in t