-0.15
Unemployment Rate
0.05
0
-0.05
-0.1
λ
1200
1000
800
600
400
200
0
-200
0246
0246
Fig. 2. Linear Model Based Control. (% deviation from baseline, except λ. Dashed
Line is the Response from Figure 1.)
use weights of unity. This is a conventional quadratic output tracking objective
(social loss) function.
3.2 Linear Model
For the linear model based control method we use the standard linear-quadratic
output tracking approach (Herbert, 1998) with a linear model derived from the
full nonlinear model. The linear model is numerically estimated by perturbing
the input to the full nonlinear model.
The advantage of the linear-quadratic approach is that the optimization can
be analytically solved, and the solution programmed. The control policy is
developed from the linear model dynamically at each time step. We apply this
control to the full nonlinear model.
The disadvantage of this method is that it is dependant upon the accuracy of
linear model and that constraints on the control cannot be included explicitly
as part of the control generation procedure. In the literature the usual ap-
proach of implementing constraints is to varying the relative weights between
the output and control tracking errors in the objective function.
More intriguing information
1. The name is absent2. The name is absent
3. SLA RESEARCH ON SELF-DIRECTION: THEORETICAL AND PRACTICAL ISSUES
4. Educational Inequalities Among School Leavers in Ireland 1979-1994
5. Consumption Behaviour in Zambia: The Link to Poverty Alleviation?
6. The name is absent
7. Synthesis and biological activity of α-galactosyl ceramide KRN7000 and galactosyl (α1→2) galactosyl ceramide
8. Critical Race Theory and Education: Racism and antiracism in educational theory and praxis David Gillborn*
9. Crime as a Social Cost of Poverty and Inequality: A Review Focusing on Developing Countries
10. Evaluating the Success of the School Commodity Food Program