An iterative algorithm is presented to compute lower bounds for the structured singular value ( mu ). The algorithm resembles a mixture of power methods for eigenvalues and singular values, since the structured singul...
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An iterative algorithm is presented to compute lower bounds for the structured singular value ( mu ). The algorithm resembles a mixture of power methods for eigenvalues and singular values, since the structured singular value can be viewed as a generalization of both. If the algorithm converges, a lower bound for mu results. The authors prove that mu is always an equilibrium point of the algorithm. However, since in general there are many equilibrium points, some heuristic ideas to achieve convergence are presented. Extensive numerical experience with the algorithm is discussed.< >
The estimation of sinusoidal frequencies by the overdetermined Yule-Walker (OYW) Method is considered. An explicit expression is derived for the asymptotic covariance matrix of the estimation errors. The effect of inc...
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The estimation of sinusoidal frequencies by the overdetermined Yule-Walker (OYW) Method is considered. An explicit expression is derived for the asymptotic covariance matrix of the estimation errors. The effect of increasing the number of Yule-Walker equations on estimation accuracy is analyzed. The asymptotic estimation accuracy of the OYW method is compared to the best achievable accuracy corresponding to the Cramér-Rao bound
作者：
GILBERT, EGHA, IJDepartment of AeroSpace Engineering
Robot Systems Division University of Michigan Ann Arbor MI USA Computer
Information and Control Engineering Program Robot Systems Division College of Engineering University of Michigan Ann Arbor MI USA
A control problem involving a mechanical system with generalized coordinates q ∈ R m is considered. The error in tracking a desired input y d ∈ R p is e = E (q,y d )∈ R m . If E satisfies simple conditions, ...
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A control problem involving a mechanical system with generalized coordinates q ∈ R m is considered. The error in tracking a desired input y d ∈ R p is e = E (q,y d )∈ R m . If E satisfies simple conditions, it leads to a nonlinear control law that assures e (t)→0 as t →∞. The law is robust in that small changes in it do not produce large steady-state errors or loss of stability. In this theory a unified framework is presented for treating a number of problems in the control of mechanical manipulators.
作者：
Richardson, James C.Berman, Paul I.Capt. James C. Richardson
Jr. a surface warfare officer was graduated from the U.S. Naval Academy U.S. Naval Postgraduate School and the American University. With proven subspecialities in Material Management and Computer Systems Technology he has served as Commanding Officer USS Hepburn (FF-IOSS) Program Manager of the Mk 86 Gun Fire Control System at the Naval Sea Systems Command and is currently Commanding Officer of the Navy Regional Data Automation Center Washington D. C. Paul Berman is manager of Product Support Engineering for Lockheed Electronics Company
Plain field New Jersey. His department is responsible for logistics planning and analysk supply support field engineering training and technical documentation in support of the division as products. His 30 years of experience in product support include preparation of logistics plans engineering data technical publications and training materials. He is also an adjunct instructor at Rutgers University. Mr. Berman received a BA from Queens College in 1951 and an MA from Hunter College in 1957. He attended the U.S. Army Signal Corps radar school and was a field radio and radar repairman during the Korean War. He is currently a member of the Society of Logistics Engineers and the National Management Association.
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.
One of the most serious problems encountered in Naval steam plants following World War II was the unreliable performance of boiler and main feedpump pneumatic control systems. In addition to control component and syst...
One of the most serious problems encountered in Naval steam plants following World War II was the unreliable performance of boiler and main feedpump pneumatic control systems. In addition to control component and system design deficiencies, these control systems suffered from inadequate methods to measure and adjust system alignment. This paper describes the development of a set of procedures for on-line alignment verification (OLV) of pneumatic main boiler and feedpump control systems. The procedures are designed for use by N avy control system technicians and, in addition to on-line alignment verification, provide guidance for troubleshooting and for performing system alignment. Procedure static checks measure steady state steaming performance and OLV procedure dynamic checks measure the ability of the boiler and control systems to respond to load changes. The paper describes typical control system characteristics that influence OLV procedure content and the supporting analysis that was used to establish alignment criteria ranges that satisfy both steady state and transient performance requirements. Also described is the alignment criteria tolerance analysis along with the steps involved in a typical OLV check procedure development. Descriptions of the various OLV checks, troubleshooting procedures and alignment procedures are provided. Typical shipboard implementation requirements are described and experience to date with the procedures is provided along with a status report on OLV procedure implementations.
作者：
RESNER, MEKLOMPARENS, SHLYNCH, JPMr. Michael E. Resner:received an Engineering Degree from Texas A&M University in 1966 and has done graduate work in management at American University. He is Director
Machinery Arrangements/Control Systems and Industrial Facilities Division (SEA 525) at the Naval Sea Systems Command. His previous positions have included Program Manager Solar Total Energy Program at the Department of Energy and Branch Chief Machinery Control Systems Branch at the Naval Ship Engineering Center. Mr. Stephen H. Klomparens:is a Naval Architect at Designers & Planners
Inc. and is engaged in development of computer aids for ship design. He received his B.S.E. degree in Naval Architecture and Marine Engineering from the University of Michigan in 1973 and his M.S. degree in Computer Science from the Johns Hopkins University. Mr. Kolmparens began his professional career at Hydronautics Inc. in 1974 where he was involved in the use of marine laboratory facilities for test and development of conventional and advanced marine craft. Since 1977 he has been involved with naval and commercial ship design and with development of computer-aided ship design tools. Mr. John P. Lynch:is a Principal Marine Engineer with Hydronautics
Inc. He was previously employed in the auxiliary machinery and computer-aided design divisions of the David W. Taylor Naval Ship R&D Center the machinery design division of the New York Naval Shipyard and the machinery arrangement code of the Bureau of Ships. His active naval service was as a ship superintendent in the production department of the Long Beach Naval Shipyard. Mr. Lynch received his B. S. degree in Marine Engineering from the New York State Maritime College and his M.S. degree in Mechanical Engineering from Columbia University. He is a licensed Professional Engineer in the State of New York and a member of ASNE.
The machinery arrangement design process has remained relatively unchanged over the years. Recently, external demands have been placed on both the product and the producers that call for changes to this process. This ...
The machinery arrangement design process has remained relatively unchanged over the years. Recently, external demands have been placed on both the product and the producers that call for changes to this process. This paper cites these external demands and traces the evolution of the process changes from the rule-of-thumb machinery box sizing routines up to the current automated procedures. The machinery arrangement design practice is presented, and existing analytic and graphics aids are discussed. The user requirements for improved design aids are presented, with implementation guidelines and hardware/software alternatives.
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.
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