Research on non-linear input–output model based on production function theory and a new method to update IO coefficients matrix

2006 ◽  
Vol 181 (1) ◽  
pp. 478-486 ◽  
Author(s):  
Narisa Zhao ◽  
Tang Huanwen ◽  
Luo Xiaona
Keyword(s):  
Production Function ◽  
Function Theory ◽  
New Method ◽  
Input Output ◽  
Model Based ◽  
Non Linear

New Method of Fault Knowledge Acquisition of Electronic Equipment

2014 ◽  
Vol 496-500 ◽  
pp. 931-934
Author(s):  
Zhi Cheng Huo ◽  
Qi Shun Sun ◽  
Feng Jun Qi ◽  
Guo Bao Ding
Keyword(s):  
Knowledge Acquisition ◽  
Electronic Equipment ◽  
New Method ◽  
Topological Information ◽  
Amplifier Circuit ◽  
C Language ◽  
Transistor Amplifier ◽  
Analog System ◽  
Non Linear ◽  
Electric Equipment

For the problems like discreteness, tolerance, non-linear of the parts, acquiring the fault knowledge of analog system in electric equipment is hard. This method realized the process of KA automatization through the combination of PSPICE software and C language and taking command lines as combining site. Using the batch file, the programs will form some topological information and parameter information about the fault states of a circuit system each time. The result of a experiment about an Basic Transistor Amplifier circuit proves its feasibility.

Control of arrivals to a stochastic input–output system

1980 ◽  
Vol 12 (4) ◽  
pp. 972-999 ◽  
Author(s):  
Søren Glud Johansen ◽  
Shaler Stidham
Keyword(s):  
Markov Decision Process ◽  
Decision Process ◽  
Input Output ◽  
Distinctive Features ◽  
Control Models ◽  
Special Cases ◽  
Non Linear ◽  
Markov Decision ◽  
Output System ◽  
Stochastic Input

The problem of controlling input to a stochastic input-output system by accepting or rejecting arriving customers is analyzed as a semi-Markov decision process. Included as special cases are a GI/G/1 model and models with compound input and/or output processes, as well as several previously studied queueing-control models. We establish monotonicity of socially and individually optimal acceptance policies and the more restrictive nature of the former, with random rewards for acceptance and both customer-oriented and system-oriented non-linear waiting costs. Distinctive features of our analysis are (i) that it allows dependent interarrival times and (ii) that the monotonicity proofs do not rely on the standard concavity-preservation arguments.

Experimental demonstration of non-linear model-based in-line control of pH

1992 ◽  
Vol 2 (3) ◽  
pp. 145-153 ◽  
Author(s):  
Suhas K. Mahuli ◽  
R. Russell Rhinehart ◽  
James B. Riggs
Keyword(s):  
Linear Model ◽  
Experimental Demonstration ◽  
Model Based ◽  
Non Linear

Non-linear model based predictive control

1999 ◽  
Vol 72 (10) ◽  
pp. 919-928 ◽  
Author(s):  
B. Kouvaritakis ◽  
M. Cannon ◽  
J. A. Rossiter
Keyword(s):  
Linear Model ◽  
Predictive Control ◽  
Model Based ◽  
Non Linear

scholarly journals Carbon emissions and driving forces of China’s power sector: Input-output model based on the disaggregated power sector

2020 ◽  
Vol 268 ◽  
pp. 121925 ◽  
Author(s):  
Fang Luo ◽  
Yi Guo ◽  
Mingtao Yao ◽  
Wenqiu Cai ◽  
Meng Wang ◽  
...  
Keyword(s):  
Carbon Emissions ◽  
Driving Forces ◽  
Input Output ◽  
Power Sector ◽  
Model Based
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