Classical solution for a nonlinear hybrid system modeling combustion in a multilayer porous medium

2022 ◽  
Vol 63 ◽  
pp. 103406
Author(s):  
M.R. Batista ◽  
J.C. Da Mota ◽  
R.A. Santos
Keyword(s):  
Porous Medium ◽  
Classical Solution ◽  
Hybrid System ◽  
System Modeling ◽  
Nonlinear Hybrid

scholarly journals An Optimal Hybrid Control Method for Energy-Saving of Chilled Water System in Central Air Conditioning

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Yan Zhang ◽  
Xiaoli Chu ◽  
Yongqiang Liu
Keyword(s):  
Energy Saving ◽  
Hybrid System ◽  
Air Conditioning ◽  
Control Method ◽  
System Modeling ◽  
Water System ◽  
Variable Frequency ◽  
Optimum Control ◽  
Central Air Conditioning ◽  
Frequency Behavior

Chilled water system of central air conditioning is a typical hybrid system; variable frequency behavior with amplitude limited of pumps reflects continuous and discrete dynamic characteristics. The way of energy-saving is variable water volume, via variable frequency behavior of pumps to gain adjustment of power consumption. Facing the situation of the variable frequency pumps with parallel operation, single continuous or discrete modeling cannot reflect the hybrid features. Thus, the control method will have some questions, such as bad energy-saving effect, difficult accurate adjustment of cold capacity, and low running energy efficiency. However, hybrid system modeling can reflect hybrid dynamic behavior of pumps, which is combining continuous and discrete features. The questions of nonlinear and multiparameters can be solved by control method based on hybrid system. Here, an optimum control method is proposed with the principle of the minimum, by setting the minimum power consumption as the performance function in fixed time, which realizes variable control of pumps and accurate adjustment of temperature inside room. At last, it shows the system characteristics and energy-saving affection by hybrid system modeling and the optimum control method.

scholarly journals Hybrid System Modeling of Multi-Agent Coverage Problems with Energy Depletion and Repletion

2018 ◽  
Vol 51 (16) ◽  
pp. 223-228 ◽  
Author(s):  
Xiangyu Meng ◽  
Arian Houshmand ◽  
Christos G. Cassandras
Keyword(s):  
Hybrid System ◽  
System Modeling ◽  
Energy Depletion ◽  
Multi Agent ◽  
Coverage Problems

Hybrid system modeling, simulation, and visualization: a crane system

2003 ◽  
Author(s):  
Sahan S. Hiniduma Udugama Gamage ◽  
Patrick R. Palmer
Keyword(s):  
Hybrid System ◽  
System Modeling ◽  
Modeling Simulation
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