The common research methods for the adsorption and diffusion of zeolite molecular sieves at home and abroad, the characteristics and applicable scope of each method, and the research status of adsorption and diffusion phenomena at home and abroad are introduced. The research results of domestic and foreign scientific research workers are systematically introduced. On this basis, the scientific problems that existed in this field are put forward. Aiming at these problems, a research program by using gas chromatography for the study of adsorption and diffusion phenomena is proposed. The principle of gas chromatography and the method of adsorption and diffusion are described in detail. The corresponding formulas are deduced, and the application of gas chromatography in the study of adsorption and diffusion is also prospected.
This paper focuses on the fault detection of a class of discrete-time systems with random faults and proposes a fault-dependent approach. Firstly, a mathematical model is constructed to describe the above problems, and the characteristics of fault signals are transformed into matrices containing uncertainties. By constructing a fault detection filter as a residual generator, the fault detection and isolation (FDI) problem is transformed into a H∞filtering problem. Based on the established model, the H∞ performance is analyzed by adopting a fault-dependent method. The parameter-dependent Lyapunov function is selected for processing. On this basis, the existence condition of the fault detection filter is given in the form of linear matrix inequalities. Finally, an example is used to verify the effectiveness and practicability of the theoretical results.