The proceedings contains 8 papers. Topics discussed include algorithms, optimization, data structures, mathematical models and programming, medical and scientific applications, parallel processing systems and computer...
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The proceedings contains 8 papers. Topics discussed include algorithms, optimization, data structures, mathematical models and programming, medical and scientific applications, parallel processing systems and computer programming.
The papers submitted to the IEE colloquium on computing and controldivision 'Industrial applications of intelligent control' organized by Professional Group C9 (Applied control equipment) are presented. The i...
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The papers submitted to the IEE colloquium on computing and controldivision 'Industrial applications of intelligent control' organized by Professional Group C9 (Applied control equipment) are presented. The issues considered include local model networks for nonlinear system identification, genetic algorithm for weight selection in H∞ control design, adaptive fuzzy control of a pilot turbogenerator plant, intelligent data modelling using neurofuzzy algorithms, implementation of a commercial PI-neural controller for building services.
The papers submitted to the IEE colloquium on computing and controldivision 'quantum computing: theory, applications and implications' organized by Professional Group C4 (Artificial intelligence) are presente...
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The papers submitted to the IEE colloquium on computing and controldivision 'quantum computing: theory, applications and implications' organized by Professional Group C4 (Artificial intelligence) are presented. The issues considered include formalizing quantum computing, complexity and algorithms in quantum computation, quantum logic, quantum theories of mind and decoherence.
The MATLAB genetic Algorithm Toolbox aims to make geneticalgorithms accessible to the control engineer within the framework of an existing computer-aided control system design (CACSD) package. This allows the retenti...
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The MATLAB genetic Algorithm Toolbox aims to make geneticalgorithms accessible to the control engineer within the framework of an existing computer-aided control system design (CACSD) package. This allows the retention of existing modeling and simulation tools for building objective functions and enables the user to make direct comparisons between genetic methods and traditional procedures.
The proceedings contains 11 papers from the IEE colloquium on Applied control Techniques Using MATLAB. Topics discussed include: analysis of multivariable Smith predictors;controller design for the idle speed control ...
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The proceedings contains 11 papers from the IEE colloquium on Applied control Techniques Using MATLAB. Topics discussed include: analysis of multivariable Smith predictors;controller design for the idle speed control of an internal combustion engine;design of a discrete linear quadratic optimal missile autopilot;observer design;neural networks;multiobjective control system design;and geneticalgorithms.
The proceedings contains 9 papers on Systems design for testability. Topics discussed include standards, microprocessor chips, design complexity, digital signal processing, image processing, avionics, hierarchical sys...
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The proceedings contains 9 papers on Systems design for testability. Topics discussed include standards, microprocessor chips, design complexity, digital signal processing, image processing, avionics, hierarchical systems, systems analysis, mathematical models, geneticalgorithms, microelectronics, function evaluation and product design.
The proceedings contains 5 papers on AI applications in power systems. Topics discussed include expert systems, decision support systems, electric power system protection, voltage control, neural networks, genetic alg...
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The proceedings contains 5 papers on AI applications in power systems. Topics discussed include expert systems, decision support systems, electric power system protection, voltage control, neural networks, geneticalgorithms, planning, systems analysis and mathematical models.
作者：
FAIRHEAD, DLHALL, CCSince graduating from Cleveland State University in 1965 with a Bachelor of Science degree in Mathematics
he has worked for the Navy at Annapolis participating in several different automation efforts ranging from design aids to surface ship bridge control. Mr. Fairhead has completed graduate work in Computer Science at the University of Maryland has a certificate in Computer Programming holds a patent and is a member of the Association for Computing Machinery (ACM). Upon graduation from Morgan State in 1962
Mr. Hall was employed as a physicist at the Naval Surface Warfare Center Carderock Division Annapolis until 1994. During that time period he served as program technical manager for propulsion technology and as senior project scientist for several automation projects including the Automated Ships Bridge project. Mr. Hall also served as a member of the initial Technical Director's Technology Application Team and of the Autonomic Ship Innovation Center Team. Mr. Hall is a member of the American Institute of Physics and Sigma Pi Sigma (National Physics Honor Society).
A growing concern about the shrinking size of the U.S. Navy budget and the pool from which selections will be made to ''man'' U. S. Navy shipboard systems has led to investigations on achieving improve...
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A growing concern about the shrinking size of the U.S. Navy budget and the pool from which selections will be made to ''man'' U. S. Navy shipboard systems has led to investigations on achieving improvements in affordability and operational effectiveness. One such investigation has resulted in the development of the Standard Monitoring and control System (SMCS), a modular, open architecture control system which includes the control system components for propulsion, electric plant, auxiliaries, and damage control. The first major technology upgrade to SMCS will entail the insertion of Artificial Intelligence (AI) technologies into HM&E monitoring and controlapplications. The Intelligent Machinery control Integration Task (IMCI) was established to provide a structural approach for this major technology upgrade. As part of the first phase of IMCI, an identification of intelligent control requirements, an assessment of AI technologies, and a survey of intelligent controlapplications were performed. This paper lists those HM&E-related shipboard operational requirements from which intelligent machinery control requirements will be identified. Also, there is an initial assessment of AI-related reasoning and the following AI technologies, knowledge-based systems, fuzzy logic, neural nets, and geneticalgorithms. The survey provided some insight into applying AI technologies to SMCS shipboard operational requirements.
geneticalgorithms are of great importance in the development of new generation of IT applications. The potential of which Parallel geneticalgorithms over existing information processing techniques is enormous. Genet...
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geneticalgorithms are of great importance in the development of new generation of IT applications. The potential of which Parallel geneticalgorithms over existing information processing techniques is enormous. geneticalgorithms are ideally suited to the processing, classification and control of very large and varied data. Programming systems used for the implementation of these algorithms are grouped into three classes: application-oriented systems, algorithm oriented systems and general programming systems.
The paper presents a discussion on the Breeder genetic Algorithm which is a provable optimal search algorithm and is based on the science of breeding. This science is part of applied statistics. A major component is t...
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The paper presents a discussion on the Breeder genetic Algorithm which is a provable optimal search algorithm and is based on the science of breeding. This science is part of applied statistics. A major component is the parent-offspring correlation and heritability coefficient. Also shown are applications of these algorithms like transport optimization, fleet and crew assignment, graph partitioning, machine scheduling, sequence optimization for RISC compilers and breeding of optimal neural networks.
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