scholarly journals The Benefits of Schooling: A Human Capital Alocation into a Continuous Optimal Control Framework

10.5772/7296 ◽  
2009 ◽  
Author(s):  
Athanasios A. ◽  
Grigoris I.
Keyword(s):  
Optimal Control ◽  
Human Capital ◽  
Control Framework

An Economic Model Predictive Control Approach for Wind Power Smoothing and Tower Load Mitigation

2018 ◽  
Author(s):  
Mohamed M. Alhneaish ◽  
Mohamed L. Shaltout ◽  
Sayed M. Metwalli
Keyword(s):  
Optimal Control ◽  
Optimal Control Problem ◽  
Model Predictive Control ◽  
Wind Power ◽  
Predictive Control ◽  
Economic Model ◽  
Control Algorithm ◽  
Fatigue Load ◽  
Economic Model Predictive Control ◽  
Control Framework

An economic model predictive control framework is presented in this study for an integrated wind turbine and flywheel energy storage system. The control objective is to smooth wind power output and mitigate tower fatigue load. The optimal control problem within the model predictive control framework has been formulated as a convex optimal control problem with linear dynamics and convex constraints that can be solved globally. The performance of the proposed control algorithm is compared to that of a standard wind turbine controller. The effect of the proposed control actions on the fatigue loads acting on the tower and blades is studied. The simulation results, with various wind scenarios, showed the ability of the proposed control algorithm to achieve the aforementioned objectives in terms of smoothing output power and mitigating tower fatigue load at the cost of a minimal reduction of the wind energy harvested.

scholarly journals Optimal Control Approach to Lambert’s Problem and Gibbs’ Method

2020 ◽  
Vol 10 (7) ◽  
pp. 2419
Author(s):  
Minjeong Kim ◽  
Sungsu Park
Keyword(s):  
Optimal Control ◽  
Pseudospectral Method ◽  
Orbital Energy ◽  
Control Approach ◽  
Control Framework ◽  
Lambert’S Problem ◽  
Computation Algorithm ◽  
Lambert's Problem ◽  
Energy Computation ◽  
Optimal Control Approach

This paper presents the optimal control approach to solve both Lambert’s problem and Gibbs’ method, which are commonly used for preliminary orbit determination. Lambert’s problem is reinterpreted with Hamilton’s principle and is converted to an optimal control problem. Various extended Lambert’s problems are formulated by modifying the weighting and constraint settings within the optimal control framework. Furthermore, Gibbs’ method is also converted to an extended Lambert’s problem with two position vectors and one orbit energy with the help of the proposed orbital energy computation algorithm. The proposed extended Lambert’s problem and Gibbs’ method are numerically solved with the Lobatto pseudospectral method, and their accuracies are verified by numerical simulations.

scholarly journals An Optimal Control Framework for Inter-regional Dairy Policy Analysis

1992 ◽  
Vol 24 (2) ◽  
pp. 137-147
Author(s):  
Rudolfo V. Tanjuakio ◽  
Conrado M. Gempesaw ◽  
G. Joachim Elterich
Keyword(s):  
Optimal Control ◽  
Econometric Model ◽  
Regional Distribution ◽  
Price Support ◽  
Government Purchases ◽  
Control Framework ◽  
Support Price ◽  
Dairy Policy ◽  
Stochastic Coefficient ◽  
Marketing Orders

AbstractAn eleven-region stochastic coefficient econometric model was estimated and used in an optimal control framework to evaluate the effectiveness of the dairy price support program and marketing orders in reducing and stabilizing government purchases of dairy products. The results showed significant pressure on the reduction of the support price both in the presence and absence of Class I differentials. The optimal control model also showed that the drop in price support levels did not dramatically alter the regional distribution of milk production.

scholarly journals Better Product Quality May Lead to Lower Product Price

2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Régis Chenavaz
Keyword(s):  
Optimal Control ◽  
Product Quality ◽  
Dynamic Pricing ◽  
Product Innovation ◽  
Production Cost ◽  
Lower Price ◽  
Product Price ◽  
Control Framework ◽  
Innovation Policies

AbstractThis article analyzes the conditions under which better product quality implies higher or lower product price. In an optimal control framework, I make the following assumptions: The firm sets the dynamic pricing and product innovation policies; product innovation raises quality, which drives production cost, and consumers are sensitive to price and quality. I derive a rule of price-quality relationship that stresses the influence of quality on price through the effects of cost (positive), sales (negative), and markup (positive). This article shows that, while maximizing profit and despite a quality and cost increases, the firm may decrease product prices because of the possibility of generating more sales as a result of combining better quality with lower price. This sales effect solves the puzzle of a negative price-quality relationship. More generally, the sales effect mitigates the ability of price to convey information about quality.

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