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Titlebook: Control of Nonlinear Mechanical Systems; Janislaw M. Skowronski Book 1991 Plenum Press, New York 1991 design.dynamics.machines.mechanics.u

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书目名称Control of Nonlinear Mechanical Systems
编辑Janislaw M. Skowronski
视频video
丛书名称Applied Information Technology
图书封面Titlebook: Control of Nonlinear Mechanical Systems;  Janislaw M. Skowronski Book 1991 Plenum Press, New York 1991 design.dynamics.machines.mechanics.u
描述A modern mechanical structure must work at high speed and with high precision in space and time, in cooperation with other machines and systems. All this requires accurate dynamic modelling, for instance, recognizing Coriolis and centrifugal forces, strong coupling effects, flexibility of links, large angles articulation. This leads to a motion equation which must be highly nonlinear to describe the reality. r1oreover, work on the manufacturing floor requires coordination between nachines, between each machine and a conveyor, and demands robustness of the controllers against uncertainty in payload, gravity, external perturbations etc. This requires adaptive controllers and system coordination, and perhaps a self organizing structure. The machines become complex, strongly nonlinear and strongly coupled mechanical systems with many degrees of freedom, controlled by sophisticated mathematical programs. The design of such systems needs basic research in Control and System Dynamics, as well as in Decision Making Theory (Dynamic Games), not only in the use of these disciplines, but in their adjustment to the present demand. This in turn generates the need to prepare engineering students
出版日期Book 1991
关键词design; dynamics; machines; mechanics; uncertainty; complexity
版次1
doihttps://doi.org/10.1007/978-1-4615-3722-9
isbn_softcover978-1-4613-6656-0
isbn_ebook978-1-4615-3722-9
copyrightPlenum Press, New York 1991
The information of publication is updating

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mathematical programs. The design of such systems needs basic research in Control and System Dynamics, as well as in Decision Making Theory (Dynamic Games), not only in the use of these disciplines, but in their adjustment to the present demand. This in turn generates the need to prepare engineering students 978-1-4613-6656-0978-1-4615-3722-9
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Anhang: Testantworten, Literatur, Register,ils to satisfy many applied case goals such as avoidance in finite time, ultimate avoidance, collision with one target while avoiding another, to name only a few from many possible scenarios which include avoidance as a modular subobjective. Moreover, such a simplified quantitative objective is stud
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Anhang: Testantworten, Literatur, Register,ation control of robotic arms on the manufacturing floor or in space (see Ardema-Skowronski [1]), control of multi-legged vehicles (see McGhee [1], McGhee-Klein-Chas [1], etc.) In either of these problems, as much as in many other real life applications, the objectives attempted by the agents in con
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Avoidance,ils to satisfy many applied case goals such as avoidance in finite time, ultimate avoidance, collision with one target while avoiding another, to name only a few from many possible scenarios which include avoidance as a modular subobjective. Moreover, such a simplified quantitative objective is stud
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Dynamic Games,ation control of robotic arms on the manufacturing floor or in space (see Ardema-Skowronski [1]), control of multi-legged vehicles (see McGhee [1], McGhee-Klein-Chas [1], etc.) In either of these problems, as much as in many other real life applications, the objectives attempted by the agents in con
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Differenzierbare Mannigfaltigkeiten,Ever since its inception about 1960 when the first work appeared (see Kalman-Bertram [1], Kalman [1]), the notion of controllability has been connected with reaching a target. Initially, the problem was posed in a rather simplified and applicationally rigid form of attempting a transfer between two given states . and . ∈ Δ under specified control.
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978-1-4613-6656-0Plenum Press, New York 1991
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Differenzierbare Mannigfaltigkeiten,antaneous values of these variables give . on the present state of the system as well as on its past. Thus the state is represented by a .. corresponding to a variable point in the ... that describes the motion of the system. There t is the independent time variable t ≥ t., ., where as before t. is
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