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MASTER ORDNANCE REPAIR APPLIED - STANDARD ITEM 009-67

NAVAL ENGINEERS JOURNAL 1986年第3期98卷 35-42页

作者： STIMSON, WA MARSH, MT UTTICH, RM William 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 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.

关键词： WARSHIPS

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On the orthogonal collocation and mathematical programming approach for state constrained optimal control problems

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Annual Review in automatic Programming 1985年第PART 2期13卷 1-7页

作者： Abdelrahman, O.E Abuelnasr, B.M Department of Mathematics and Computer Sciences Zagazig University Zagazig Egypt Department of Computer Sciences and Automatic Control Faculty of Engineering University of Alexandria Egypt

The orthogonal collocation approach is now well known to solve, effectively, the state constrained optimal control problems. Mathematical programming technique was also used as an effective tool to construct the optimal trajectories. In this paper, a study is done on the efficiency and accuracy requirements of the combined orthogonal collocation and mathematical programming approach, as regarding the employed optimization algorithm, and the number of orthogonal collocation points. It is shown, by experimentation with numerical examples that Fletcher-Powell optimization algorithm is much more faster to produce convergence than Fletcher-Reeves algorithm. The efficiency can be a ratio of six-to-one. The results are compared with an alternative approach to solve the same problem. It is shown that the present algorithm is less costly than the alternative approach, although requiring more computation time. The choice is then a compromise one. As the number of orthogonal points increases, the resulting solutions are more accurate, but the convergence speed decreases. Experimentation with N, shows a save of five-to-one in computing time can be achieved with almost the same cost function. Finally, it is shown, by a numerical example, that uniformly distributed collocation points result in non-optimal solutions, which also violate the problem constraints. It is a numerical proof of the superiority of the orthogonal collocation approach. © 1986.

关键词： convergence speed mathematical programming optimization algorithms Orthogonal collocation state constrained problems

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Identification of Continuous-Time Systems from Sampled Data: A Comparison of 3 Direct Methods

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IFAC Proceedings Volumes 1985年第5期18卷 1575-1578页

作者： N.K. Sinha Zhou Qijie Department of Electrical and Computer Engineering McMaster University Hamilton Ontario Canada Department of Automatic Control South China Institute of Technology Gnangzhou The Peopleʼs Republic of China

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.

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Uncertainty in Sampled Systems

Uncertainty in Sampled Systems

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American control Conference (ACC)

作者： Charles E. Rohrs Gunter Stein Karl J. Astrom Department of Electrical Engineering University of Notre Dame Notre Dame IN USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA USA Systems and Research Center Honeywell Inc. Minneapolis MN USA Department of Automatic Control Lund Institute of Technology Lund Sweden

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.

关键词： Uncertainty Adaptive control Adaptive systems Programmable control Filters Stability Sampling methods Frequency response Adaptive algorithm Sampled data systems

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A Practical Robustness Theorem for Adaptive control

A Practical Robustness Theorem for Adaptive Control

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American control Conference (ACC)

作者： Charles E. Rohrs Gunter Stein Karl J. Astrom TelLaboratories Research Laboratory South Bend IN and Department of Electrical Engineering University of Notre Dame Notre Dame IN USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA USA Systems and Research Center Honeywell Inc. Minneapolis MN USA Department of Automatic Control Lund Institute of Technology Lund Sweden

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.

关键词： Robust control Adaptive control Uncertainty Frequency Sampling methods Programmable control control systems Transfer functions automatic control Bandwidth

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Reading Retardation or Linguistic Deficit? III: a Further Examination of Response Strategies in a Reading Test Completed by Hearing‐impaired Children

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Journal of Research in Reading 1983年第1期6卷 19-28页

作者： Beggs, W.D.A. Breslaw, P.I. W.D. Alan Beggs is a Research Fellow now working in the Blind Mobility Research Unit within the Department of Psychology at Nottingham. He obtained his first degree in Psychology from Queens University Belfast and holds a PhD from the University of Nottingham. His interests and publications have covered perceptual illusions the control of voluntary movement information processing in reading eye movements in reading clumsiness and auditory spatial knowledge in the deaf. Dr Beggs' address is Blind Mobility Research Unit Department of Psychology University of Nottingham University Park Nottingham NG7 2RD UK. W.D.A. BEGGS Blind Mobility Research Unit Department of Psychology University of Nottingham University Park Nottingham NG7 2RD UK. P.I. BRESLAW Department of Psychology University of Nottingham University Park Nottingham NG7 2RD UK. Paul I. Breslaw was a Research Assistant in the Department of Psychology at the University of Nottingham for a number of years until 1981. During that period he contributed to research projects in the automatic generation of variables in computer controlled experiments the study of on-line techniques for eye-movement recording during reading problem solving and paced aiming and the development of communicative competence in deaf children. He holds a BSc from the University of Sussex and an MPhil from Nottingham. He has recently turned his attention exclusively to computer science and runs his own software consultancy for real time and robot applications in psychology and engineering. He may be contacted at the Department of Psychology University of Nottingham University Park Nottingham NG7 2RD UK.

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Identification of Noisy Distributed Parameter Systems Using Optimal Stochastic Approximation Procedure

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IFAC Proceedings Volumes 1982年第4期15卷 1271-1276页

作者： S.A.F. Bassiouny Β.M. Abuelnasr M.N. El-Derini Department of Computer Science and Automatic Control Faculty of Engineering University of Alexandria Egypt

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

关键词： Identification distributed parameter systems optimal stochastic approximation modified stochastic approximation nominal stochastic approximation

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FUZZY RULES GENERATION FOR FUZZY control

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CYBERNETICS AND SYSTEMS 1982年第3期13卷 275-293页

作者： CZOGALA, E PEDRYCZ, W Department of Automatic Control and Computer Science Silesian Technical University Poland Department of Mathematics Department of Electrical Engineering Delft University of Technology Gliwice Netherlands

The paper deals with the design problem of control algorithms in fuzzy systems described by means of fuzzy relational equations, which can be implemented in the framework of fuzzy controllers applied to control of ill-defined systems. Some ways leading to assigning varying grades of importance to goals and constraints imposed in control process and their influence on the relation of the fuzzy controller is discussed in detail. © Taylor & Francis Group, LLC.

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Identification of multivariable continuous-time systems from samples of input-output data

Identification of multivariable continuous-time systems from...

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IEEE Conference on Decision and control

作者： N. K. Sinha Zhou Qi-Jie Department of Electrical and Computer Engineering McMaster University Hamilton ONT Canada Department of Automatic Control Soutn China Institute of Technology Guangzhou China

Several methods for the identification of linear multivariable continuous-time systems from the samples of input-output data are discussed. These include three new methods proposed by the authors. The suitability of these methods for estimating the parameters of the system using recursive least-squares algorithm is compared using a simulated example. The results indicate that the best results are obtained using the block pulse function method as proposed by the authors.

关键词： Tellurium Data engineering Equations

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Optimal and Suboptimal Solutions for the Singular control Problems of Discrete Time Systems

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IFAC Proceedings Volumes 1981年第2期14卷 383-386页

作者： I. Abd El-Salam M.M. El-Geneidy Department of Computer Science and Automatic Control Faculty of Engineering Alexandria University Alexandria Egypt Department of Electrical Engineering Faculty of Engineering Alexandria University Alexandria Egypt

In this paper the singular optimal control problem of linear discrete-time system with fixed end points and free final time is investigated. Expression for the optimal control is obtained by changing the problem to a minimum norm problem with linear constraints and applying some appropriate theorems. Existence, uniqueness, and optimality are proven. Iterative relationships to compute the main matrix in the optimal control expression are given. In order to simplify and reduce the computations a significant suboptimal control is described. It is shown that the suboptimal control aproaches the system to the final desired state each time of its application, moreover, it is gauranteed to reach the final state in finite steps.

关键词： Optimal control sub-optimal control singular control disrete time systems iterative methods numerical methods

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