Abstract: The present invention discloses an iterative learning control (ILC) method for a multi-particle vehicle platoon driving system, and relates to the field of ILC. The method includes: firstly, discretizing a multi-particle train dynamic equation using a finite difference method to obtain a partial recurrence equation, and then transforming the partial recurrence equation into a spatially interconnected system model; secondly, transforming the spatially interconnected system model into an equivalent one-dimensional dynamic model using a lifting technology, and in order to compensate input delay, designing an ILC law based on a state observer; and thirdly, transforming a controlled object into an equivalent discrete repetitive process according to the ILC law, and converting a controller combination problem into a linear matrix inequality based on stability analysis of the repetitive process.

Abstract: A method for preparing biochar and hydrogen by utilizing anaerobic fermentation byproducts, the method including: (1) mixing a first straw, seeding sludge and distilled water, and then carrying out anaerobic fermentation to obtain a mixed product after fermentation; (2) performing separation on the mixed product to obtain a second straw and biogas slurry; and (3) carbonizing the second straw to obtain biochar, and collecting gas after a pressurized catalytic reaction on the biogas slurry to obtain hydrogen.

Abstract: Disclosed is an optimizing method for multi-source municipal solid waste combinations based on machine learning, including obtaining relevant property data, classifying the feature variables and obtaining a raw materials pre-combination from the classified feature variables according to a classification ratio, followed by cooperative combustion treatment to obtain data after combustion, summarizing the obtained data into a database, constructing a matrix of raw material components, operating conditions and pollutant distribution according to the database, obtaining matrix data; performing principal component analysis on the matrix data, constructing an information processing model, obtaining a data set of samples; carrying out training according to the data set to construct a relational model, obtaining processed parameters; training the obtained processed parameters to construct a regression module, an optimal parameter, and performing regression calculation using the optimal parameter together with the matr

Abstract: A method for preparing supercritical fluid by deep-sea pressure is provided and belongs to the technical field of supercritical fluid preparation. The method includes the following steps of: placing low-pressure fluid in a closed flexible container, sending the closed flexible container down to a location of a sea at a depth where a seawater pressure meets a requirement by using a powered or unpowered traction device, leaving the flexible container standing still until a volume of the flexible container does not change, wrapping the closed flexible container with a rigid pressure-bearing container, transferring the closed flexible container to the sea surface by the powered or unpowered traction device, and taking out the fluid in the flexible container as supercritical fluid. Then the supercritical fluid is produced. Therefore, the process of preparing supercritical (high pressure) liquid in deep-sea is safer and more stable than the preparation way on land.

Abstract: A sorting-based garbage classification method and a sorting-based garbage classification device are provided. The method utilizes quantitative features of domestic garbage components and adopts bubble sort algorithm to build a sorting model to sort and classify domestic garbage. The method is more in line with technical requirements of downstream incineration, pyrolysis gasification and so on, and has the features of high fault tolerance rate and high operation efficiency, and is characterized by controllable environmental impact, flexible product form and high energy utilization efficiency in the operation process.

Abstract: A method for preparing biochar and hydrogen by utilizing anaerobic fermentation byproducts, the method including: (1) mixing a first straw, seeding sludge and distilled water, and then carrying out anaerobic fermentation to obtain a mixed product after fermentation; (2) performing separation on the mixed product to obtain a second straw and biogas slurry; and (3) carbonizing the second straw to obtain biochar, and collecting gas after a pressurized catalytic reaction on the biogas slurry to obtain hydrogen.