A nonlinear optimal (H-infinity) control approach is proposed for the problem of stabilization of the dynamics of a macroeconomic development model that is known as the Grossman-Helpman model of endogenous product cycles. The dynamics of the macroeconomic development model is divided in two parts. The first one describes economic activities in a developed country and the second part describes variation of economic activities in a country under development which tries to modify its production so as to serve the needs of the developed country. The article shows that through control of the macroeconomic model of the developed country, one can finally control the dynamics of the economy in the country under development. The control method through which this is achieved is the nonlinear H-infinity control. The macroeconomic model for the country under development undergoes approximate linearization round a temporary operating point. This is defined at each time instant by the present value of the system’s state vector and the last value of the control input vector that was exerted on it. The linearization is based on Taylor series expansion and the computation of the associated Jacobian matrices. For the linearized model an H-infinity feedback controller is computed. The controller’s gain is calculated by solving an algebraic Riccati equation at each iteration of the control method. The asymptotic stability of the control approach is proven through Lyapunov analysis. This assures that the state variables of the macroeconomic model of the country under development will finally converge to the designated reference values.
Skip Nav Destination
,
,
,
Article navigation
28 November 2017
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2017 (ICCMSE-2017)
21–25 April 2017
Thessaloniki, Greece
Research Article|
November 28 2017
A nonlinear optimal control approach to stabilization of a macroeconomic development model Available to Purchase
G. Rigatos;
G. Rigatos
*
Unit of Industrial Automation, Industrial Systems Institute
, 26504, Rion Patras, Greece
, email: [email protected]
Search for other works by this author on:
P. Siano;
P. Siano
†
Department of Industrial Engineering, University of Salerno
, Fisciano 84084 Italy
, email: [email protected]
Search for other works by this author on:
D. Sarno
D. Sarno
‡
Department of Industrial Engineering, University of Salerno
, Fisciano 84084 Italy
, email: [email protected]
Search for other works by this author on:
G. Rigatos
1
P. Siano
2
T. Ghosh
3
D. Sarno
4
*
Unit of Industrial Automation, Industrial Systems Institute
, 26504, Rion Patras, Greece
, email: [email protected]
†
Department of Industrial Engineering, University of Salerno
, Fisciano 84084 Italy
, email: [email protected]
‡
Department of Industrial Engineering, University of Salerno
, Fisciano 84084 Italy
, email: [email protected]AIP Conf. Proc. 1906, 060007 (2017)
Citation
G. Rigatos, P. Siano, T. Ghosh, D. Sarno; A nonlinear optimal control approach to stabilization of a macroeconomic development model. AIP Conf. Proc. 28 November 2017; 1906 (1): 060007. https://doi.org/10.1063/1.5012325
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
23
Views
Citing articles via
The implementation of reflective assessment using Gibbs’ reflective cycle in assessing students’ writing skill
Lala Nurlatifah, Pupung Purnawarman, et al.
Effect of coupling agent type on the self-cleaning and anti-reflective behaviour of advance nanocoating for PV panels application
Taha Tareq Mohammed, Hadia Kadhim Judran, et al.
Classification data mining with Laplacian Smoothing on Naïve Bayes method
Ananda P. Noto, Dewi R. S. Saputro
Related Content
Flatness-based control and Kalman filtering for a continuous-time macroeconomic model
AIP Conf. Proc. (November 2017)
Finite horizon optimum control with and without a scrap value
AIP Conf. Proc. (June 2017)
A nonlinear optimal control approach for chaotic finance dynamics
AIP Conf. Proc. (November 2017)
Stabilization of business cycles of finance agents using nonlinear optimal control
AIP Conf. Proc. (November 2017)
Nonlinear optimal control for the synchronization of chaotic and hyperchaotic finance systems
AIP Conf. Proc. (November 2017)