Existing models of R&D are not easily reconciled with four observable aspects of R&D: initial technologies ('ideas') need to be developed further, only a minority of initial ideas is successfully brought to the market, production and process innovations take place simultaneously (whereby,...

Given disparate beliefs about economic growth, technical change and damage caused by climate change, this paper starts with the seeming impossibility of determining a unique time profile of the social costs of carbon as a benchmark for climate negotiations and for infrastructure decisions that...

The present study examines the optimal recycling rate for municipal solid waste. First, an optimal control model is developed to describe the waste accumulation phenomenon. The physical costs of recycling, the social costs of landfilling, and consumers' environmental preferences are accounted...

We consider supplier development within a supply chain consisting of a single manufacturer and a single supplier. Because investments in supplier development are usually relationship-specific, safeguard mechanisms against the hazards of partner opportunism have to be installed. Here, formal...

Fault-tolerable capability of Doubly Fed Induction Generator (DFIG) against disturbance occurrence is recognized as Fault Ride-Through (FRT). With quick and accurate compensation potentiality of Dynamic Voltage Restorer (DVR) to retrieve the nominal PCC voltage, DFIG can safely follow its normal...

In this paper, we present a new version of the OPTCON algorithm for the optimal control of nonlinear stochastic systems with special reference to econometric models. It delivers approximate numerical solutions of optimum control problems with a quadratic objective function for nonlinear...

We solve an optimal growth model in continuous space, continuous and bounded time. The optimizer chooses the optimal trajectories of capital and consumption across space and time by maximizing an objective function with both space and time discounting. We extract the corresponding Pontryagin...

We develop a theory of optimal stopping problems under ambiguity in continuous time. Using results from (backward) stochastic calculus, we characterize the value function as the smallest (nonlinear) supermartingale dominating the payoff process. For Markovian models, we derive an adjusted...

This dissertation deals with three problems in health care. In the first, we consider the incentives to change prices and capital levels at hospitals, using optimal control under the assumption that private payers charge higher prices if patients consume more hospital services. The main results...

We present a set of necessary and sufficient conditions for a class of optimal control problems with pure state constraints for which the objective function is linear in the state variable but the objective function is only required to be upper semi-continuous in the control variable. We apply...