Self-organizing and learning control systems.
Self organizing and learning control systems, adaptive systems theory and defining self organizing control systems
Barron, R. L.↗
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Results for “self‐organization”
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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On-line self-organizing control of multiple- goal, multiple-actuator systems.
Synthesis and design of on-line self-organizing control of multiple goal, multiple actuator systems
ON-LINE PROGRAMMING↗
Abiotic polymerization and self-organization.
Cell origin in self organizing natural polymers in terms of molecular evolutionary priority of polynucleotides and poly alpha amino acids
Fox, S. W.↗
Self-organizing approach to the stochastic fuel regulator problem
Stochastic control optimization, examining self organizing approach for performance adaptive controller with asymptotic optimal properties
Gilbert, H. D.↗
Study to develop techniques for a self-organizing computer
The main emphasis has been on the programming language for a self organizing computer. An example of programming with the language of finite state machines is presented in a real time processing for weather radars.
Schaffner, M. R.↗
Research-study of a self-organizing computer
It is shown that a self organizing system has two main components: an organizable physical part, and a programing part. This report presents the organizable part in the form of a programable hardware and its programing language.
Schaffner, M. R.↗
Self-organization of the protocell was a forward process
Yockey's (1981) interpretation of information theory relative to concepts of self-organization in the origin of life is criticized on the ground that it assumes that each amino acid residue type in a given sequence is an unaided information carrier throughout evolution. It is argued that more than one amino acid residue can act as a unit information carrier, and that this was the case in prebiotic protein evolution. Forward-extrapolation should be used to study prebiotic evolution, not backward-extrapolation. Transposing the near-random internal order of modern proteins to primitive proteins, as Yockey has done, is an unsupported assumption and disagrees with the results of experimental models of the primordial type. Studies indicate that early primary information carriers in evolution were mixtures of free alpha amino acids which necessarily had the capability of sequencing themselves.
Fox, S. W.↗
Computer program documentation: ISOCLS iterative self-organizing clustering program, program C094
The author has identified the following significant results. This program implements an algorithm which, ideally, sorts a given set of multivariate data points into similar groups or clusters. The program is intended for use in the evaluation of multispectral scanner data; however, the algorithm could be used for other data types as well. The user may specify a set of initial estimated cluster means to begin the procedure, or he may begin with the assumption that all the data belongs to one cluster. The procedure is initiatized by assigning each data point to the nearest (in absolute distance) cluster mean. If no initial cluster means were input, all of the data is assigned to cluster 1. The means and standard deviations are calculated for each cluster.
Minter, R. T.↗
The CLASSY clustering algorithm: Description, evaluation, and comparison with the iterative self-organizing clustering system (ISOCLS)
A clustering method, CLASSY, was developed, which alternates maximum likelihood iteration with a procedure for splitting, combining, and eliminating the resulting statistics. The method maximizes the fit of a mixture of normal distributions to the observed first through fourth central moments of the data and produces an estimate of the proportions, means, and covariances in this mixture. The mathematical model which is the basic for CLASSY and the actual operation of the algorithm is described. Data comparing the performances of CLASSY and ISOCLS on simulated and actual LACIE data are presented.
Lennington, R. K.↗
An application of adaptive learning to malfunction recovery
A self-organizing controller is developed for a simplified two-dimensional aircraft model. The Controller learns how to pilot the aircraft through a navigational mission without exceeding pre-established position and velocity limits. The controller pilots the aircraft by activating one of eight directional actuators at all times. By continually monitoring the aircraft's position and velocity with respect to the mission, the controller progressively modifies its decision rules to improve the aircraft's performance. When the controller has learned how to pilot the aircraft, two actuators fail permanently. Despite this malfunction, the controller regains proficiency at its original task. The experimental results reported show the controller's capabilities for self-organizing control, learning, and malfunction recovery.
Cruz, R. E.↗
Survey of learning control systems for space vehicle applications.
On-line and off-line self-organizing control systems for space vehicle application
CONTROL SYSTEM↗
Hysteresis and macromolecular memory
Hysteresis and macromolecular memory, and memory device requirements as part of cybernetic self-organizing systems
MACROMOLECULE↗
On the stochastic fuel-regulator problem.
Stochastic fuel regulator problem investigated by optimal and self organizing techniques, emphasizing realizability of resulting controllers
Gilbert, H. D.↗
Adaptive flight control systems
Adaptive flight control systems, emphasizing bionics approach to self organizing systems
Barron, R. L.↗
Computers formed by the problems rather than problems deformed by the computers.
Description of an approach to computer programming which tries to minimize the time required for retranslation from the computer language into the language of the original process. A notion of a programmable network is introduced which allows the abstract machines that are a model of the processes in the user's mind to be put into a rigorous and simple form. Each process is then modeled as a particular finite-state machine, a circulating page loose system being employed as an architecture for implementing these finite-state machines. An experiment is discussed in which the use of abstract machines as a language for modeling processes, in conjunction with the use of a self-organizing computer, decreases user effort, eliminates the need for compilation, facilitates debugging, and decreases computer time.
Schaffner, M. R.↗
An Evaluation of optional timing/synchronization features to support selection of an optimum design for the DCS digital communication network
The task was to evaluate the ability of a set of timing/synchronization subsystem features to provide a set of desirable characteristics for the evolving Defense Communications System digital communications network. The set of features related to the approaches by which timing/synchronization information could be disseminated throughout the network and the manner in which this information could be utilized to provide a synchronized network. These features, which could be utilized in a large number of different combinations, included mutual control, directed control, double ended reference links, independence of clock error measurement and correction, phase reference combining, and self organizing.
Bradley, D. B.↗
Effect of various features on the life cycle cost of the timing/synchronization subsystem of the DCS digital communications network
The effect on the life cycle cost of the timing subsystem was examined, when these optional features were included in various combinations. The features included mutual control, directed control, double-ended reference links, independence of clock error measurement and correction, phase reference combining, self-organization, smoothing for link and nodal dropouts, unequal reference weightings, and a master in a mutual control network. An overall design of a microprocessor-based timing subsystem was formulated. The microprocessor (8080) implements the digital filter portion of a digital phase locked loop, as well as other control functions such as organization of the network through communication with processors at neighboring nodes.
Kimsey, D. B.↗
CLASSY: An adaptive maximum likelihood clustering algorithm
The CLASSY clustering method alternates maximum likelihood iterative techniques for estimating the parameters of a mixture distribution with an adaptive procedure for splitting, combining, and eliminating the resultant components of the mixture. The adaptive procedure is based on maximizing the fit of a mixture of multivariate normal distributions to the observed data using its first through fourth central moments. It generates estimates of the number of multivariate normal components in the mixture as well as the proportion, mean vector, and covariance matrix for each component. The basic mathematical model for CLASSY and the actual operation of the algorithm as currently implemented are described. Results of applying CLASSY to real and simulated LANDSAT data are presented and compared with those generated by the iterative self-organizing clustering system algorithm on the same data sets.
Lennington, R. K.↗