Gaussian process model based predictive control [PDF]
Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of non-linear dynamic systems. The Gaussian processes can highlight areas of the input space where prediction quality is poor, due to the lack ...
, +4 more
core +1 more source
Experimental Study on the Flow Pattern of Double-hemisphere Rough Elements with Different Streamwise Spacing [PDF]
Particle image velocimetry is used to study the variation around single- and double-hemisphere rough elements with different streamwise spacings immersed in the boundary layer.
P. Chen, J. Sun, Y. T. Cheng, W. Y. Chen
doaj +1 more source
Identification of Hidden Failures in Process Control Systems Based on the HMG Method [PDF]
We will continue here the research work, the goal of which was to introduce the notion of nondeterministic aggregation operators and study their properties, even in relation to classification systems and the associated learning problem.
Cutello, V., Montero, Javier
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Optimizing Control of a Batch Reaction Process [PDF]
The batch chemical reaction is chosen as the process model to be optimized and the rate constants are functions of pressure only, as the reactions are assumed to occur isothermally.
Sayama, Hayatoshi +2 more
core +1 more source
Techniques for Tool Life Prediction and Autonomous Tool Change Using Real-time Process Monitoring Data [PDF]
Materials such as titanium alloys, nickel alloys, and stainless steels are difficult to machine due to low thermal conductivity, work hardening, and built-up edge formation, which accelerate tool wear. Frequent tool changes are required, often relying on
Seong Hun Ha, Min-Suk Park, Hoon-Hee Lee
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Research progress in nitrogen-doped electrically conductive silicon carbide ceramics
The electrically conductive silicon carbide (SiC) ceramics that can be machined by electrical discharge machining, can not only overcome the highlight shortcomings of traditional high resistivity-grade SiC ceramics in machinability, but also maintain its
YANG Jianguo +7 more
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Retrofit self-optimizing control of Tennessee Eastman process [PDF]
This paper considers near-optimal operation of the Tennessee Eastman (TE) process by using a retrofit self-optimizing control (SOC) approach. Motivated by the factor that most chemical plants in operation have already been equipped with a workable ...
Cao, Yi +3 more
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CONTROLLING OF THE LOGISTIC PROCESSES
The paper presents analysis of the controlling application in logistic processes in the foundry of the cast iron. Controlling of quality was introduced in order to raise efficiency of the foundry of the cast iron management. A comparative method was applied to examinations. Two spheres were compared to managing of the organization: managing the quality
Robert Ulewicz +2 more
openaire +2 more sources
Integrating process design and control: An application of optimal control to chemical processes [PDF]
In this paper, the optimal design of process systems generically used in chemical industries is studied. The closely coupled nature of optimal design specification of the equipment, the determination of the optimal process parameters in steady-state ...
Athans +23 more
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Special Probabilistic Prediction Model for Temperature Characteristics of Dynamic Fluid Processes
Accurately predicting the temperature characteristics of a dynamic discharge process in different transportation conditions can improve the performance of reciprocating multiphase pumps in practice.
Hongying Deng +4 more
doaj +1 more source

