scholarly journals An optimal instrumental variable approach for continuous-time multiple input-single output fractional model identification

2020 ◽  
Vol 53 (2) ◽  
pp. 3701-3706
Author(s):  
Abir Mayoufi ◽  
Stéphane Victor ◽  
Rachid Malti ◽  
Manel Chetoui ◽  
Mohamed Aoun
Keyword(s):  
Continuous Time ◽  
Instrumental Variable ◽  
Model Identification ◽  
Fractional Model ◽  
Single Output ◽  
Variable Approach ◽  
Multiple Input ◽  
Instrumental Variable Approach

An Instrumental Variable Approach for Continuous-Time Identification of an SI Engine Model for Automatic Controller Design

2002 ◽  
Author(s):  
Patrick J. Cunningham ◽  
Matthew A. Franchek
Keyword(s):  
Continuous Time ◽  
Instrumental Variable ◽  
Controller Design ◽  
Identification Algorithm ◽  
Si Engine ◽  
Continuous Time Model ◽  
Time Model ◽  
Idle Speed ◽  
Variable Approach ◽  
Instrumental Variable Approach

Instrumental variable algorithms are popular for their favorable consistency properties and ease of implementation. In this investigation an algorithm for automatic SI engine idle speed controller design uses and instrumental variable approach to perform system identification. The instrumental variable method employed here identifies the coefficients of a continuous-time model from discretely sampled data. This continuous-time model represents the engine dynamics from the bypass air valve voltage to the engine speed. To implements the identification algorithm, filtered derivative estimators approximate engine speed derivatives and an auxiliary model generates instrumental variables. These calculations are performed at each sample instant and are passed to the recursive formulation of the instrumental variable identification algorithm. Identification is performed utilizing reference step response data. A complete consistency analysis of this algorithm is included for this realization of the instrumental variable algorithm. Automatic controller design is completed based on the identified continuous-time model coefficients. As a result, the controller is parameterized based on the model coefficients and matching the transfer function of the idle speed feedback system to an open loop transfer function which represents the desired transient and steady state performance. The controller is implemented via a bumpless transfer process. Experimental results performed on a 4.6L V-8 fuel injected SI engine demonstrate the automated controller design process and the instrumental variable identification algorithm.

International Remittances and Private Healthcare in Kerala, India

2020 ◽  
Vol 17 (3) ◽  
pp. 445-460
Author(s):  
Mohd Imran Khan ◽  
Valatheeswaran C.
Keyword(s):  
Instrumental Variable ◽  
Capital Investment ◽  
Healthcare Expenditure ◽  
Healthcare Services ◽  
Private Healthcare ◽  
International Remittances ◽  
Variable Approach ◽  
Using Data ◽  
The Impact ◽  
Instrumental Variable Approach

The inflow of international remittances to Kerala has been increasing over the last three decades. It has increased the income of recipient households and enabled them to spend more on human capital investment. Using data from the Kerala Migration Survey-2010, this study analyses the impact of remittance receipts on the households’ healthcare expenditure and access to private healthcare in Kerala. This study employs an instrumental variable approach to account for the endogeneity of remittances receipts. The empirical results show that remittance income has a positive and significant impact on households’ healthcare expenditure and access to private healthcare services. After disaggregating the sample into different heterogeneous groups, this study found that remittances have a greater effect on lower-income households and Other Backward Class (OBC) households but not Scheduled Caste (SC) and Scheduled Tribe (ST) households, which remain excluded from reaping the benefit of international migration and remittances.

scholarly journals Errors-in-Variables Identification in Dynamic Networks by an Instrumental Variable Approach

2014 ◽  
Vol 47 (3) ◽  
pp. 2335-2340 ◽  
Author(s):  
Arne Dankers ◽  
Paul M.J. Van den Hof ◽  
Xavier Bombois ◽  
Peter S.C. Heuberger
Keyword(s):  
Instrumental Variable ◽  
Dynamic Networks ◽  
Errors In Variables ◽  
Variable Approach ◽  
Instrumental Variable Approach

Local Industrial Policy and Sectoral Hubs

2021 ◽  
Vol 111 ◽  
pp. 526-531
Author(s):  
Esteban Rossi-Hansberg ◽  
Pierre-Daniel Sarte ◽  
Felipe Schwartzman
Keyword(s):  
Optimal Policy ◽  
Spatial Model ◽  
Instrumental Variable ◽  
Professional Services ◽  
Specific Production ◽  
Production Externalities ◽  
Industrial Policies ◽  
Coastal Cities ◽  
Variable Approach ◽  
Instrumental Variable Approach

We study the desirability of industrial policies that generate sectoral hubs using a quantitative spatial model with cognitive nonroutine and other occupations. The productivity of each occupation in an industry depends on sector-specific production externalities, which we estimate using a model-implied instrumental variable approach. We find that the optimal policy gives rise to national hubs in coastal cities in tradable services, like professional services, and smaller regional hubs in less tradable services, like health and education. The optimal policy prescribes developing manufacturing in smaller towns. We decompose the implied changes in local costs and the available varieties in each sector.

Identification of continuous-time hybrid “Box–Jenkins” systems with multiple unknown time delays using two-stage parameter estimation algorithm

2019 ◽  
Vol 36 (6) ◽  
pp. 2111-2130
Author(s):  
Yamna Ghoul
Keyword(s):  
Continuous Time ◽  
Time Delays ◽  
Least Square ◽  
Identification Algorithm ◽  
Recursive Least Square ◽  
Two Stage ◽  
Content Type ◽  
Single Output ◽  
Multiple Input ◽  
Unknown Time Delays

Purpose This study/paper aims to present a separable identification algorithm for a multiple input single output (MISO) continuous time (CT) hybrid “Box–Jenkins”. Design/methodology/approach This paper proposes an optimal method for the identification of MISO CT hybrid “Box–Jenkins” systems with unknown time delays by using the two-stage recursive least-square (TS-RLS) identification algorithm. Findings The effectiveness of the proposed scheme is shown with application to a simulation example. Originality/value A two-stage recursive least-square identification method is developed for multiple input single output continuous time hybrid “Box–Jenkins” system with multiple unknown time delays from sampled data. The proposed technique allows the division of the global CT hybrid “Box–Jenkins” system into two fictitious subsystems: the first one contains the parameters of the system model, including the multiple unknown time delays, and the second contains the parameters of the noise model. Then the TS-RLS identification algorithm can be applied easily to estimate all the parameters of the studied system.

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