Dynamic input-output models with stochastic time lags

1996 ◽  
Vol 27 (9) ◽  
pp. 857-861 ◽  
Author(s):  
ADAM ĆMIEL ◽  
HENRYK GURGUL
Keyword(s):  
Time Lags ◽  
Input Output ◽  
Stochastic Time

Input–Output Models with Stochastic Matrices and Time Lags

1996 ◽  
Vol 8 (2) ◽  
pp. 133-144 ◽  
Author(s):  
Adam Ćmiel ◽  
Henryk Gurgul
Keyword(s):  
Time Lags ◽  
Stochastic Matrices ◽  
Input Output

scholarly journals Identification of Stochastic Timed Discrete Event Systems with st-IPN

2014 ◽  
Vol 2014 ◽  
pp. 1-21 ◽  
Author(s):  
Doyra Mariela Muñoz ◽  
Antonio Correcher ◽  
Emilio García ◽  
Francisco Morant
Keyword(s):  
Petri Net ◽  
Discrete Event Systems ◽  
Discrete Event ◽  
Input Output ◽  
Identification Process ◽  
Sequence Of Events ◽  
Input And Output ◽  
Event Systems ◽  
Systems Modelling ◽  
Stochastic Time

This paper presents a method for the identification of stochastic timed discrete event systems, based on the analysis of the behavior of the input and output signals, arranged in a timeline. To achieve this goal stochastic timed interpreted Petri nets are defined. These nets link timed discrete event systems modelling with stochastic time modelling. The procedure starts with the observation of the input/output signals; these signals are converted into events, so that the sequence of events is the observed language. This language arrives to an identifier that builds a stochastic timed interpreted Petri net which generates the same language. The identified model is a deterministic generator of the observed language. The identification method also includes an algorithm that determines when the identification process is over.

Input-Output in Personnel Management

1970 ◽  
Vol 15 (2) ◽  
pp. 115, 118
Author(s):  
WILLIAM E. COLEMAN
Keyword(s):  
Personnel Management ◽  
Input Output

Adaptive Control Scheme for Coupled Tank Process

2018 ◽  
pp. 89-95
Author(s):  
Vinodhini M.
Keyword(s):  
Adaptive Control ◽  
Nonlinear Behaviour ◽  
Simulation Studies ◽  
Input Output ◽  
Control Scheme ◽  
Direct Model ◽  
Multivariable Process ◽  
Model Reference Adaptive ◽  
Siso System ◽  
Adaptive Control Scheme

The objective of this paper is to develop a Direct Model Reference Adaptive Control (DMRAC) algorithm for a MIMO process by extending the MIT rule adopted for a SISO system. The controller thus developed is implemented on Laboratory interacting coupled tank process through simulation. This can be regarded as the relevant process control in petrol and chemical industries. These industries involve controlling the liquid level and the flow rate in the presence of nonlinearity and disturbance which justifies the use of adaptive techniques such as DMRAC control scheme. For this purpose, mathematical models are obtained for each of the input-output combinations using white box approach and the respective controllers are developed. A detailed analysis on the performance of the chosen process with these controllers is carried out. Simulation studies reveal the effectiveness of proposed controller for multivariable process that exhibits nonlinear behaviour.

The Impact of the Public Expenditure Cuts Policy on the Labor Market in Vietnam

2012 ◽  
pp. 22-46
Author(s):  
Huong Nguyen Thi Lan ◽  
Toan Pham Ngoc
Keyword(s):  
Labor Market ◽  
Computable General Equilibrium ◽  
Impact Evaluation ◽  
Public Expenditure ◽  
Computable General Equilibrium Model ◽  
Living Standard ◽  
Input Output ◽  
Policy Makers ◽  
The Public ◽  
The Impact

The purpose of this study is to evaluate the impact of public expenditure cuts on employment and income to support policies for the development of the labor mar- ket. Impact evaluation is of interest for policy makers as well as researchers. This paper presents a method – that is based on a Computable General Equilibrium model – to analyse the impact of the public expenditure cuts policy on employment and income in industries and occupations in Vietnam using macro data, the Input output table, 2006, 2008 and the 2010 Vietnam Household Living Standard Survey.

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