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Titlebook: Computation and Control II; Proceedings of the S Kenneth Bowers,John Lund Conference proceedings 1991 Springer Science+Business Media New Y

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書目名稱Computation and Control II
副標(biāo)題Proceedings of the S
編輯Kenneth Bowers,John Lund
視頻videohttp://file.papertrans.cn/233/232046/232046.mp4
叢書名稱Progress in Systems and Control Theory
圖書封面Titlebook: Computation and Control II; Proceedings of the S Kenneth Bowers,John Lund Conference proceedings 1991 Springer Science+Business Media New Y
描述This volume contains a collection of papers delivered by the partici- pants at the second Conference on Computation and Control held at Mon- tana State University in Bozeman, Montana from August 1-7, 1990. The conference, as well as this proceedings, attests to the vitality and cohesion between the control theorist and the numerical analyst that was adver- tised by the first Conference on Computation and Control in 1988. The proceedings of that initial conference was published by Birkhiiuser Boston as the first volume of this same series entitled Computation and Control, Proceedings of the Bozeman Conference, Bozeman, Montana, 1988. Control theory and numerical analysis are both, by their very nature, interdisciplinary subjects as evidenced by their interaction with other fields of mathematics and engineering. While it is clear that new control or es- timation algorithms and new feedback design methodologies will need to be implemented computationally, it is likewise clear that new problems in computational mathematics arise when implementing a new generation of control algorithms. For these reasons, computational mathematics is mov- ing to the forefront in recent developments in m
出版日期Conference proceedings 1991
關(guān)鍵詞algorithms; computational mathematics; control; control design; control system; control theory; design; dif
版次1
doihttps://doi.org/10.1007/978-1-4612-0427-5
isbn_ebook978-1-4612-0427-5
copyrightSpringer Science+Business Media New York 1991
The information of publication is updating

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Homogenization Techniques and Estimation of Material Parameters in Distributed Structures,our investigations has been on models to be used in estimation and control of large flexible structures mainly intended for use in space (e.g., antennas, platforms, solar panels, experimental arRays, etc.). At present there is a reasonably adequate understanding of the dynamics of beams and plates m
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Some Partial Differential Equations Arising in Nonlinear Control and Optimization, the nonlinear regulator problem, yielding necessary and sufficient conditions for nonlinear regulation for the class of detectable and stabilizable nonlinear systems[.][.]In section 2, we review the basic nonlinear regulator problem and give conditions, derived in[.] [.] [2], for solvability of the
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Numerical Solution of a Control Problem for Optimal Cooling of Viscoelastic Films,. The basic goal is to cool a viscoelastic sheet from the temperature at which it is constructed to the lower temperature at which it will be used, in such a way that residual stresses in the sheet are minimized. In this paper, we discuss numerical techniques for computing such optimal temperature p
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Observability of Perspective Systems a New Approach to Computer Vision,stant angular and linear velocities respectively. The velocities are assumed to be unknown. The vision problem is to identify these unknown parameters (hereafter referred to as motion parameters) by observing the perspective projections of the moving object on a screen. Typically however, the motion
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A Regularization Method for Inverse Heat Conduction Problems,ferential equations of parabolic type where the inputs and outputs are given as point actuators and sensors. In particular, it is assumed that an unknown input produces an (approximately) known or desired output. The output is given as a finite set of data from which it is desired to (approximately)
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Computing Inverse Laplace Transforms Using Convergence Acceleration,roximated by a trapezoidal sum, which gives rise to an infinite power series. Since the absoLute vaLues of its terms generally decrease slowly, a convergence acceleration scheme based on the Chebyshev acceleration method is used. Then the Transformed series converges like a geometric series whose qu
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