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, an improved moth-flame optimization algorithm (IMFO) is presented to solve engineering problems. Two novel effective strategies composed of Lévy flight and dimension-by-dimension evaluation are synchronously introduced into the moth-flame optimization algorithm (MFO) to maintain a great global exploration ability and effective balance between the global and local search. The search strategy of Lévy flight is used as a regulator of the moth-position update mechanism of global search to maintain a good research population diversity and expand the algorithm’s
The complex characteristics of pneumatic control valves make it difficulty to describe valve faults by establishing a accurate mathematical model, data-driven technology thus attracts widespread attention in the filed of its fault diagnosis. The existing control systems of commercial regulating valves, however, are always equipped with limited hardware equipment, which puts forward higher requirements for the fault diagnosis model and learning efficiency. Therefore, this paper presents a fast self-learning fault diagnosis method for pneumatic control valves based on multi-feature fusion. Fi
As an important operation at the end of converter steelmaking, the key to the end-point control is the accurate and real-time prediction of carbon content. And the oxidation rate of carbon content in the molten pool can be reflected in the variation of the flame texture at the furnace mouth. Therefore, the extraction of accurate characteristics of flame texture is the key to predict end-point carbon content. However, the difficulty of flame texture feature description lies in its multi-directional and multi-scale irregular characteristics. This paper proposes a derivative nonlinear mapping
This research discusses an output voltage controller of the self-excited induction generator (SEIG). The SEIG is one part of the renewable energy application where it is not connected to the utility grid, but it uses the capacitor as an excitation source. One of the weaknesses of this generator is its voltage regulation caused by its load change. Thus, one method is needed to maintain its output voltage in a required voltage value. This research proposes a mathematical model of the SEIG and it is implemented using MATLAB SIMULINK. A capacitor arrangement based on PID controller is applied in t
The present study intends to elaborate on the heat generation/absorption of two-dimensional laminar nanofluid flow in view of the nonlinear stretching surface at a given surface temperature with partial slip effect. The influence of Joule heating and viscous dissipation are considered. For evolving mathematical formulation, a fundamental flow model based on boundary layer theory is done, which signifies mass conservation of momentum, energy, and concentration equations. The fundamental nonlinear PDEs are diminished to a couple of nonlinear ODEs by implementing the transformation technique. The