作者:
STIMSON, WAMARSH, MTUTTICH, RMWilliam A. Stimsonreceived his B.S. degree in mathematics from the University of Texas at El Paso in 1964
and his M.S. degree in engineering from the University of Santa Clara in 1971. He served in the U.S. Army Artillery during the Korean Conflict and subsequently was employed at IBM Huntsville Alabama until 1968 where he worked in the design of automatic control systems of the Saturn vehicle. From 1968 until 1971 he was employed at Ames Research Center Moffett Field in the design of nonlinear control systems for sounding rockets and pencil-shaped spacecraft. Following this Mr. Stimson worked at Hewlett Packard Sunnyvale California as a test engineer in automatic test systems. Since 1973 Mr. Stimson has been employed at the Naval Ship Weapon Systems Engineering Station Port Hueneme. He was a ship qualification trials project supervisor for many years and is now serving as master ordnance repair deputy program manager. Mr. Stimson is a member of the American Society of Naval Engineers and is program chairman of the Channel Islands Section. Cdr. Michael T. Marsh
USNreceived a B.S. in mathematics from the University of Nebraska and was commissioned via the NESEP program in 1970. He holds an M.S. in computer science from the U.S. Navy Postgraduate School and an MBA from the State University of New York. Cdr. Marsh has served in the weapons department of USSFrancis Hammond (FF-1067) and of USSJohn S. McCain (DDG-36). He was weapons officer aboard USSSampson (DDG-10). As an engineering duty officer Cdr. Marsh was the technical design officer for PMS-399 at the FFG-7 Class Combat System Test Center from 1978 to 1982. He is presently combat system officer at SupShip Jacksonville and has been active in the MOR program since its inception. Cdr. Marsh is also the vice chairman of the Jacksonville Section of ASNE. LCdr. Richard M. Uttich
USNholds B.S. and M.S. degrees in mechanical engineering from Stanford University. He enlisted in the Navy in 1965 serving as an electronics technician aboard USSNereus (A
The 600-ship United States Navy offers private shipyards an unprecedented opportunity for overhaul of surface combatants with complex combat systems. Recognizing the new challenge associated with the overhaul of high ...
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The 600-ship United States Navy offers private shipyards an unprecedented opportunity for overhaul of surface combatants with complex combat systems. Recognizing the new challenge associated with the overhaul of high technology combat systems in the private sector, the Navy in 1983 established the master ordnance repair (MOR) program. This program, a joint effort of the Naval Sea Systems Command (NAVSEA) and the Shipbuilders Council of America (SCA), was designed to identify and qualify those companies and private shipyards technically capable of managing combat systems work and conducting combat system testing. Standard Item 009–67 describes the role of the MOR company in combat system overhaul. It defines terms that are important to understanding the item itself, and imposes upon the prime contractor an obligation to utilize the MOR subcontractor in a managerial capacity. Specific tasks are assigned to the MOR company in planning, production, and testing. Finally, this standard item describes to the Navy planner how to estimate the size of the MOR team appropriate to the work package, a feature that will ensure that combat system bids are tailored to a specific availability.
Three direct methods for the identification of a linear continuous-time system from the samples of input and output observations are considered. These are based on obtaining approximate expressions for the signals fro...
Three direct methods for the identification of a linear continuous-time system from the samples of input and output observations are considered. These are based on obtaining approximate expressions for the signals from their samples. The methods are (i) block-pulse functions, (ii) trapezoidal pulse functions, and (iii) cubic spline functions. In each case, the differential equations are integrated using these approximations and the results are used for estimating the parameters of a model of given order and structure which will provide the best fit in the least squares sense. Results of simulation are included which compare the relative performance of the three methods both in the absence and the presence of measurement noise.
Recent two-time scale results can be derived from a geometric framework which allows further extensions and computational improvements. In this paper the two-time scale behavior of singularly perturbed systems is expl...
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Recent two-time scale results can be derived from a geometric framework which allows further extensions and computational improvements. In this paper the two-time scale behavior of singularly perturbed systems is exploited to design slow and fast controls and to combine them into a composite control. As an illustration we present a corrective design to compensate for fast actuator dynamics modeled as singular perturbations.
The recently obtained evidence of the need for a positive real element in an adaptive system leaves us with a disturbing gap in adaptive control theory. It is a fact that in some applications adaptive controllers are ...
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The recently obtained evidence of the need for a positive real element in an adaptive system leaves us with a disturbing gap in adaptive control theory. It is a fact that in some applications adaptive controllers are performing well in practice. How can these systems behave well in practical situations which must contain modeling error? This paper introduces a preliminary result which indicates that it may be possible to maintain the needed positive real system in the presence of modeling error. The result shows that if a continuous-time system with large high frequency uncertainty is treated appropriately with antialiasing filters and sampled slowly enough, the resulting discrete-time system may contain very little uncertainty. With small enough uncertainty in the plant, a positive real system in the adaptive loop is possible.
In this paper, two theorems are quoted which, when applied together, provide much information about the robustness of adaptive control schemes. From these two theorems, another theorem is developed which can explain w...
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In this paper, two theorems are quoted which, when applied together, provide much information about the robustness of adaptive control schemes. From these two theorems, another theorem is developed which can explain why adaptive controllers can perform robustly in certain practical situations, while possibly failing in other situations. In particular, if the bandwidth constraints on a control systems are lenient enough to allow the use of a sampling frequency which is smaller than the frequency at which unstructured uncertainty becomes significant, an adaptive controller can behave robustly. Many, if not all, of the applications of adaptive control which have been successful employ relatively slow sampling of the process. Thus, the results of this paper provide a theoretical explanation of how certain adaptive controllers are performing robustly in practice. In addition, the final theorem is of a form which provides insight into what a priori knowledge is required to achieve robust adaptive control and how this knowledge say be used.
In this paper we consider a stochastic incentive decision problem with N > 1 followers and decentralized static information, where the leader's dynamic information comprises only a linear combination of the fol...
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In this paper we consider a stochastic incentive decision problem with N > 1 followers and decentralized static information, where the leader's dynamic information comprises only a linear combination of the followers' actions. We obtain an incentive policy, affine in this dynamic information, which yields the same overall performance as the one the leader would obtain if he had observed the followers' actions separately. The existence conditions involved have been obtained explicitly for the case of finite probability spaces, and some challenging issues have been identified when the random variables are infinite valued.
A ship design methodology is presented for developing hull forms that attain improved performance in both seakeeping and resistance. Contrary to traditional practice, the methodology starts with developing a seakeepin...
A ship design methodology is presented for developing hull forms that attain improved performance in both seakeeping and resistance. Contrary to traditional practice, the methodology starts with developing a seakeeping-optimized hull form without making concessions to other performance considerations, such as resistance. The seakeeping-optimized hull is then modified to improve other performance characteristics without degrading the seakeeping. Presented is a point-design example produced by this methodology. Merits of the methodology and the point design are assessed on the basis of theoretical calculations and model experiments. This methodology is an integral part of the Hull Form Design System (HFDS) being developed for computer-supported naval ship design. The modularized character of HFDS and its application to hull form development are discussed.
A collaborative effort has been undertaken at both UMIST and Rensselaer to use interactive computer graphics to develop an improved user interface for the UMIST suite of programs for performing analysis, design, and s...
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A collaborative effort has been undertaken at both UMIST and Rensselaer to use interactive computer graphics to develop an improved user interface for the UMIST suite of programs for performing analysis, design, and synthesis of control systems. The objective is to explore ways in which presently available and newly emerging interactive graphics terminals can be employed with this specific suite and with control design packages in general. This paper is a presentation of the plans for this project and a report on its progress to date.
The optimal stochastic approximation procedure (OSAP) is applied to the parameter identification problem of distributed parameter system (DPS) driven by random disturbances and observed through noisy measurements. Thi...
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The optimal stochastic approximation procedure (OSAP) is applied to the parameter identification problem of distributed parameter system (DPS) driven by random disturbances and observed through noisy measurements. This procedure is a stochastic approximation procedure (SAP) with an optimal gain sequence and an optimal transformation on the gradient of the objective function: these optimal values accelerate the convergence rate by minimizing the mean squared parameter estimation error, under the assumption that the density functions of the system and observation noises are known, or can be easily estimated. An example of parameter identification of a stochastic parabolic DPS is simulated on the digital computer. A comparison is made among the results of the optimal, the modified, the nominal first-order, and the nominal second-order SAP. It is shown that the OSAP gives higher accuracy and faster rate of convergence as compared to the nominal SAP
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