975 resultados para General state space


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Two basic representations of principal-agent relationships, the 'state-space' and 'parameterized distribution' formulations, have emerged. Although the state-space formulation appears more natural, analytical studies using this formulation have had limited success. This paper develops a state-space formulation of the moral-hazard problem using a general representation of production under uncertainty. A closed-form solution for the agency-cost problem is derived. Comparative-static results are deduced. Next we solve the principal's problem of selecting the optimal output given the agency-cost function. The analysis is applied to the problem of point-source pollution control. (C) 1998 Published by Elsevier Science S.A. All rights reserved.

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Audit report on the review of selected general and application controls over the State University of Iowa University of Iowa) ProTrav system for the period June 5, 2006 through July 28, 2006

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Report on the review of selected general and application controls over the State University of Iowa (University of Iowa) PeopleSoft General Ledger system for the period June 4, 2007 through July 27, 2007

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This report includes business transacted and official opinions by the Iowa Attorney General during the years 1913 and 1914.

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This report includes business transacted and official opinions by the Iowa Attorney General during the years 1900 and 1901.

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This paper presents the assessment that inhabitants of some Colombian cities did on the conditions that contribute to the livability of public space. Seven hundred and forty people, inhabitants of Yopal, Villavicencio, Valledupar, Popayán, Pereira, Pasto, Neiva, Montería, Medellín, Fusagasugá, Cúcuta, Cartagena, Cali and Bogotá participated in the study. The assessment of the conditions that contribute to the livability of public space was carried out using an instrument composed of 48 items that inquired about the level of contribution that can have different conditions on the quality of public space, from a scale five points ranging from: Does not contribute at all (-2) to: Contribute significantly (+2). The results show the conditions that most affect the habitability of public space in Colombia, as well as the differences between cities according to the assessment made by participants about the general state of public space in cities. Multidimensional analysis (SSA) evidence a structure that reflects the function that public space plays in people’s assessment on Colombian cities. It is discussed the implications of the findings for urban planning and management and the designed instrument is proposed as a tool to assess the quality of urban public space.

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We establish a general Lagrangian for the moral hazard problem which generalizes the well known first order approach (FOA). It requires that besides the multiplier of the first order condition, there exist multipliers for the second order condition and for the binding actions of the incentive compatibility constraint. Some examples show that our approach can be useful to treat the finite and infinite state space cases. One of the examples is solved by the second order approach. We also compare our Lagrangian with 1\1irrlees'.

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We establish a general Lagrangian for the moral hazard problem which generalizes the well known first order approach (FOA). It requires that besides the multiplier of the first order condition, there exist multipliers for the second order condition and for the binding actions of the incentive compatibility constraint. Some examples show that our approach can be useful to treat the finite and infinite state space cases. One of the examples is solved by the second order approach. We also compare our Lagrangian with 1\1irrlees'.

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Pulse-width modulation is widely used to control electronic converters. One of the most frequently used topologies for high DC voltage/low DC voltage conversion is the Buck converter. These converters are described by a second order system with an LC filter between the switching subsystem and the load. The use of a coil with an amorphous magnetic material core rather than an air core permits the design of smaller converters. If high switching frequencies are used to obtain high quality voltage output, then the value of the auto inductance L is reduced over time. Robust controllers are thus needed if the accuracy of the converter response must be preserved under auto inductance and payload variations. This paper presents a robust controller for a Buck converter based on a state space feedback control system combined with an additional virtual space variable which minimizes the effects of the inductance and load variations when a switching frequency that is not too high is applied. The system exhibits a null steady-state average error response for the entire range of parameter variations. Simulation results and a comparison with a standard PID controller are also presented.

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1864-65 have subtitle: with reports from the Quartermaster General and Surgeon General.

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Includes Attorney General's opinions.

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Description based on: Dec. 31, 1904.

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This paper deals with the long run average continuous control problem of piecewise deterministic Markov processes (PDMPs) taking values in a general Borel space and with compact action space depending on the state variable. The control variable acts on the jump rate and transition measure of the PDMP, and the running and boundary costs are assumed to be positive but not necessarily bounded. Our first main result is to obtain an optimality equation for the long run average cost in terms of a discrete-time optimality equation related to the embedded Markov chain given by the postjump location of the PDMP. Our second main result guarantees the existence of a feedback measurable selector for the discrete-time optimality equation by establishing a connection between this equation and an integro-differential equation. Our final main result is to obtain some sufficient conditions for the existence of a solution for a discrete-time optimality inequality and an ordinary optimal feedback control for the long run average cost using the so-called vanishing discount approach. Two examples are presented illustrating the possible applications of the results developed in the paper.

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This paper deals with the problem of state prediction for descriptor systems subject to bounded uncertainties. The problem is stated in terms of the optimization of an appropriate quadratic functional. This functional is well suited to derive not only the robust predictor for descriptor systems but also that for usual state-space systems. Numerical examples are included in order to demonstrate the performance of this new filter. (C) 2008 Elsevier Ltd. All rights reserved.