Kongzhi yu Juece/Control and Decision
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.
// Latest Journals
Comparison Of Simulated Experimental Data For A Solar Heat Supply System
This article discusses the comparison of simulated and experimental data for a solar heat supply system based on flat collectors integrated into an office building to meet the need for heat. A new design of a flat solar collector has been developed, in which thermal insulation occurs in a heat-insulating transparent double-glazed window. Also, to reduce the radiation on the surface of the heat receiver, a selective coating was used to prevent heating from infrared radiation. The TRNSYS model has been developed and tested on experimental data and then used for optimization purposes. Temperatu
An overview of isotropic linear systems theory
The port-Hamiltonian system approach is intended to be an innovative and unifying way of modeling multiphysics systems, by expressing all of them as systems of conservation laws. Indeed, the increasing developments in recent years allow finding better control and coupling strategies. This work aimed to apply such an approach to Naghdi–Reissner’s five-kinematic-field shell model in linear elasticity, while including often-neglected higher-order intrinsic geometric coupling effects, therefore preparing the theoretical background required for the coupling (or interconnection) with
Distributed flexible systems with degenerate machines Performance analysis, production scheduling, and predictive maintenance
In the modern manufacturing environment, the production systems develop towards a flexible direction due to the increasing of the market demands of multiple varieties and small batch-based customized products. In order to make better use of existing resources and improve production efficiency, real-time performance evaluation and prediction of real-time scheduling and optimization improvement based on small batch production have important research significance in distributed flexible production systems. This paper mainly studies the performance analysis of multi-batch serial production line
Differential game of reverse supply chain considering technological innovation under perspective of competition
The dynamic optimization of the closed-loop supply chain (CLSC) is a hot research topic. Members’ competitive behavior and product goodwill play an important role in the decision making of CLSC members. In this paper, a closed-loop supply chain (CLSC) with competitive manufacturers and single retailers is studied, in which the manufacturer produces and recycles the products, and the retailer is responsible for the sales of the products. On this basis, a dynamic linear differential equation of product goodwill is constructed, the optimal dynamic path of each decision variable is found,
Data-driven modelling and fault-tolerant tracking control for engraving machine systems
By analyzing the mechanism relationship between the input angular velocity and the output position of the engraving machine system in speed control mode, the system is simulated as a model connected by an integrating factor and a stable transfer function. By introducing a differential filter to process the sampling data, the critical unstable integrating model is transformed into a stable model which is easy to identify. This paper proposes a recursive least squares algorithm which can accurately estimate the model with integrating factor. Besides, the instrumental variables method is appli