Incentive contracting - An annotated and classified modern bibliography
Incentive contracts bibliography
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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Incentive contracts bibliography
Improved automatic landing systems for aircraft by applying control theory and inertial navigation data
Traveling wave tubes for high efficiency and extreme environments, discussing power output and RF drive
Analog hybrid computer system for laboratory instruction
Digital computer module for control of iterative analog computer system
Hybrid interface for high speed iterative differential analyzer and PDP-9 digital computer
Automatic control theory applied to nuclear rocket dynamics and control using stochastic algorithms
Installation of digital coordinate readouts for display in Mount Wilson 60 in. telescope
Control theory, Volume 1, covering linear, nonlinear, stochastic, optimal, adaptive and learning systems, sensitivity analysis, etc
Environmental control of confined spaces and life support systems by Pontryagin maximum principle of optimal control theory, discussing cabins, heat exchanger, etc
Optimal temperature control for confined spaces and life support systems, using mathematical models of environmental control systems
Optimal control theory and systems analysis of man machine systems and operator performance prediction model for compensatory tracking tasks are discussed.
Defense of damping theory applications in flutter analysis, discussing energy dissipation
Optimal control theory application to environmental control of confined spaces and life support systems, considering algorithm of Pontryagin principle
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The field of surface science has undergone intense revitalization with the introduction of low-energy electron diffraction, Auger electron spectroscopy, ellipsometry, and other surface analytical techniques which have been sophisticated within the last decade. These developments have permitted submono- and monolayer structure analysis as well as chemical identification and quantitative analysis. The application of a number of these techniques to the solution of problems in the fields of friction, lubrication, and wear are examined in detail for the particular case of iron; and in general to illustrate how the accumulation of pure data will contribute toward the establishment of physiochemical concepts which are required to understand the mechanisms that are operational in friction systems. In the case of iron, LEED, Auger and microcontact studies have established that hydrogen and light-saturated organic vapors do not establish interfaces which prevent iron from welding, whereas oxygen and some oxygen and sulfur compounds do reduce welding as well as the coefficient of friction. Interpretation of these data suggests a mechanism of sulfur interaction in lubricating systems.
The synthesis procedure presented is based on the solution of the output regulator problem of linear optimal control theory for time-invariant systems. By this technique, solution of the matrix Riccati equation leads to a constant linear feedback control law for an output regulator which will maintain a plant in a particular equilibrium condition in the presence of impulse disturbances. Two simple algorithms are presented that can be used in an automatic synthesis procedure for the design of maneuverable output regulators requiring only selected state variables for feedback. The first algorithm is for the construction of optimal feedforward control laws that can be superimposed upon a Kalman output regulator and that will drive the output of a plant to a desired constant value on command. The second algorithm is for the construction of optimal Luenberger observers that can be used to obtain feedback control laws for the output regulator requiring measurement of only part of the state vector. This algorithm constructs observers which have minimum response time under the constraint that the magnitude of the gains in the observer filter be less than some arbitrary limit.