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The particular problem studied was a nonlinear policy setting problem from economics.
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A procedure using the framework is also elaborated to monitor the current policies and design new ones, which provides a dynamic, nonlinear, feedback controlled policy making practice, not accommodated by existing policy making frameworks.
Experimental results show that proposed nonlinear robust control policy precisely tracks the different paths on these irregular surfaces in practical outdoor conditions.
Further, the utilization of the nonlinear models helps the policy maker by evaluating threshold characteristics of these models.
Social-ecological systems are complex adaptive systems with internal feedbacks and nonlinear dynamics, but current policies and norms, based mainly on command and control, often focus on the symptoms rather than underlying causes of unsustainability (Weinstein et al. 2013; Garmestani 2014; Holling and Meffe 1996).
Policy assessment often utilizes model forecasts and if the models and systems lying at the core of policy deliberations are nonlinear, then policy assessment will be affected by the same lack of guarantee as model confirmation.
The nonlinear economic model driving the policy decisions will need to be rerun to check if trends are indeed moving "in the right direction" with respect to the earlier forecasts.
Then, in Section 3 we present the subband policy, and the nonlinear mapping improvement is depicted in Section 4. Computational complexities of the proposed methods are analyzed in Section 5, and some methods are also introduced to reduce the complexity.
The key elements required by the DHP, namely the performance index function, the optimal control policy and the nonlinear delay-affected discrete-time system are modeled with feedforward neural networks.
Finally, we show that the marginal effects of policies can be larger during "crises" because of the nonlinear interactions between some financial frictions and policy actions.
Within a parallel nonlinear time iteration framework, we interpolate policy functions partially on GPUs using an adaptive sparse grid algorithm with piecewise linear hierarchical basis functions.
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