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.
Enhancing underwater images presents a challenging problem owing to the influence of ocean currents, the refraction, absorption and scattering of light by suspended particles, and the weak illumination intensity. Recently, different methods have relied on the underwater image formation model and deep learning techniques to restore underwater images. However, they tend to degrade the underwater images, interfere with background clutter and miss the boundary details of blue regions. An improved image fusion and enhancement algorithm based on a prior dark channel is proposed in this paper base
With the development and progress of information technology, especially V2X technology, the research focus of intelligent vehicles gradually shifted from single-vehicle control to multi-vehicle control, and the cooperative control system of intelligent connected vehicles became an important topic of development. In order to track the research progress of intelligent connected vehicle cooperative driving systems in recent years, this paper discusses the current research of intelligent connected vehicle cooperative driving systems with vehicles, infrastructure, and test sites, and analyzes th
This paper constructs a nonlinearly parametrized hypersonic cruise vehicle model on the basis of the existing on-orbit flight data using a curve-fitting technique. The hypersonic cruise vehicle system is separated into two interconnected subsystem: an attitude subsystem with rotational dynamics and a velocity subsystem with engine dynamics. The continuous adaptive controllers are designed for two subsystems using a novel function bounding technique and appropriate coordinate transformations, respectively, which ensure the global boundedness of all signals and achieve the non-zero equilibriu
Machine learning algorithms, particularly those based on pattern recognition, have become indispensable tools for aiding in the diagnosis, treatment, and prediction of outcomes in neurological diseases. The evaluation and management of AIS have witnessed significant advancements, necessitating the integration of neuroimaging data into decision-making processes. This abstract aims to provide an overview of recent developments and applications of ML in neuroimaging, with a specific emphasis on its role in acute ischemic stroke. By leveraging ML techniques, neuroimaging data can be effectively an
Furfural is one of the valuable compounds which has various industrial uses. Furfural itself can be obtained from lignocellulosic biomass through the conversion of hemicellulose and cellulose structures. In the furfural production process, there are problems related to the yield of furfural compounds, their effect on the environment and the presence of waste that has not been used optimally. Cellulose itself is one of the wastes generated in the production of furfural from biomass. Cellulose is one of the potential materials that can be converted into furfural through the pyrolysis method. In