This paper describes the computational technique used to predict flow over and through the front end of vehicles;this scope includes flow over the hood, around air dams, through condensers, radiators, fans, and in the...
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MALKOFF, DBMOY, MCWILLIAMS, HLDr. Donald B. Malkoff majored in physics as an undergraduate at Harvard University. He received an M.D. degree from the University of Pittsburgh School of Medicine in 1960. This was followed by an internship and residency in neurology at University Hospital in Ann Arbor
Michigan. He spent several years at the National Institutes of Health engaged in gerontology research has practiced and taught clinical neurology and in 1983 received an M.S. degree in computer science at the University of California San Diego. Currently Dr. Malkoff is employed by the Navy Personnel Research and Development Center in San Diego California where he is senior investigator in a human factor/computer display-and-control project involving the DDG-51 gas turbine propulsion unit. He is a member of the American Academy of Neurology the Society for Neuroscience the American Association for Artificial Intelligence and the Association for Computing Machinery. Dr. Malkoff is certified by the American Board of Psychiatry and Neurology has taught computer science at UCSD and published in several research areas including magnetoencephalography and electron microscopy. His basic interests are in the areas of artificial intelligence and learning expert systems particularly as they apply to the problems of fault-detection and control. Dr. Melvyn C. Moy received his undergraduate training in mathematics and chemistry at the University of Texas
Austin. He studied experimental psychology at the University of Wisconsin Madison receiving his M.S. in 1970 and Ph.D. in 1972. He served as an assistant professor at the University of South Dakota where he taught experimental design and methodology for a year before joining the Navy Personnel Research and Development Center in 1973. His work and research since then spans across many application areas such as the development of manpower planning models for the Navy the design of operational decision aids the human engineering of interactive large-scale war gaming systems and the evaluation o
The ship fire main has undergone considerable development throughout the past 2,000 years, resulting in a system that is critical both for normal ship function and for ship survivability in emergencies. Because of its...
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The ship fire main has undergone considerable development throughout the past 2,000 years, resulting in a system that is critical both for normal ship function and for ship survivability in emergencies. Because of its complexity, the modern firemain system is highly vulnerable to malfunction and to damage during combat. Firemain fault detection and fault recovery are currently conducted manually by damage control teams. The advantages and disadvantages of this method are discussed, and alternative methods of fault detection and recovery are explored. An interactive computer program is introduced which uses central control over remotely situated valves to facilitate fault detection and recovery, significantly reducing recovery-time and manpower requirements. These reductions may result in savings of lives, ship systems, and ships themselves. The computer program is based upon an algorithm which is, in effect, a prescription that can be followed manually by the operator or be completely automated. The color graphic display which is used for monitoring can also be utilized for the training of damage control operators or for the evaluation of other algorithms for firemain control. Alternative firemain hardware and configurations could lead to even more efficient methods of fault detection and recovery as well as improved firemain water supply management in general.
Many design problems, including control design problems, involve infinite dimensional constraints. Recent algorithms for solving design problems having such constraints are summarized.
Many design problems, including control design problems, involve infinite dimensional constraints. Recent algorithms for solving design problems having such constraints are summarized.
An approximate method of calculating the contributions of the gains in a feedback structure is produced. The discrete time, linear, quadratic state feedback problem is considered. By state and control augmentation dyn...
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An approximate method of calculating the contributions of the gains in a feedback structure is produced. The discrete time, linear, quadratic state feedback problem is considered. By state and control augmentation dynamic compensators with fixed and tunable parameters including decentralized and hierarchal structures can, also, be handled. An example is used to illustrate the usefulness of the approach in selecting good simplified feedback structures and to verify the reasonableness of the assumptions.
We present an algorithm for solving singular value inequalities over a continuum of frequencies. The algorithm is in two parts: a master algorithm which constructs an infinite sequence of finite sets of inequalities a...
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We present an algorithm for solving singular value inequalities over a continuum of frequencies. The algorithm is in two parts: a master algorithm which constructs an infinite sequence of finite sets of inequalities and a nondifferentiable optimization subalgorithm which solves these finite sets of inequalities.
The design problem of choosing a set of parameters so that inequality constraints are satisfied for a specified variation of parameter values about their nominal value, is considered. Such problems occur when systems ...
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The design problem of choosing a set of parameters so that inequality constraints are satisfied for a specified variation of parameter values about their nominal value, is considered. Such problems occur when systems must be synthesized from components whose values are only known to a certain tolerance. Simple algorithms exist for such problems when the constraints are convex. This paper presents an algorithm which is valid for the non-convex case, The algorithm utilizes concepts employed by Eaves and Zangwill in their generalized cutting plane algorithms.
This paper shows how the design of feedback controllers for nonlinear systems may be formulated as an optimization problem with infinite dimensional constraints for which known algorithms may be employed. An important...
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This paper shows how the design of feedback controllers for nonlinear systems may be formulated as an optimization problem with infinite dimensional constraints for which known algorithms may be employed. An important aspect is a method for reducing the time interval, required to insure stability, to a finite value.
The output controllability condition of the class of time-invariant multivariable linear delay-differential systems is investigated by using an algebraic approach. The controllability condition is given in terms of th...
The output controllability condition of the class of time-invariant multivariable linear delay-differential systems is investigated by using an algebraic approach. The controllability condition is given in terms of the kernel of a map, which determines the behaviour of output after time t = 0 due to input up to t = 0. This kernel is then completely characterized by a module generated by the columns of a matrix directly computable from the system transfer function. It is shown that every reachable output of the system considered can be controlled to zero in finite time. This paper is intended to form a part of the first stage in the development of an operator transfer function approach to the design of certain class of infinite dimensional systems which commonly occur in industry and other fields.
control dynamics of the T-B cell interactions and their generation of antibody to bind alien antigens are studied here. System structure, reachability, positive invariance, stability, computer simulation and compariso...
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control dynamics of the T-B cell interactions and their generation of antibody to bind alien antigens are studied here. System structure, reachability, positive invariance, stability, computer simulation and comparison of the primal model with experimental data are presented.
Many design problems, including control design problems, involve infinite dimensional constraints of the form ϕ(z, α) ≤ 0 for all α ε A where α denotes time or frequency or a parameter vector. In other design pro...
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Many design problems, including control design problems, involve infinite dimensional constraints of the form ϕ(z, α) ≤ 0 for all α ε A where α denotes time or frequency or a parameter vector. In other design problems, tuning or trimming of certain parameters, after manufacture of the system, is permitted; the corresponding constraint is that for each α in A there exists a value τ (of the tuning parameter) in a permissible set T such that φ(z,α,t) < 0. New algorithms for solving design problems having such constraints are described.
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