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Titlebook: Computational Optimal Control; R. Bulirsch,D. Kraft Book 1994 Springer Basel AG 1994 Computer-Aided Design (CAD).Optimal control.algorithm

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书目名称Computational Optimal Control
编辑R. Bulirsch,D. Kraft
视频videohttp://file.papertrans.cn/233/232878/232878.mp4
丛书名称International Series of Numerical Mathematics
图书封面Titlebook: Computational Optimal Control;  R. Bulirsch,D. Kraft Book 1994 Springer Basel AG 1994 Computer-Aided Design (CAD).Optimal control.algorithm
描述Resources should be used sparingly both from a point of view of economy and eco­ logy. Thus in controlling industrial, economical and social processes, optimization is the tool of choice. In this area of applied numerical analysis, the INTERNATIONAL FEDERATION OF AUTOMATIC CONTROL (IFAC) acts as a link between research groups in universities, national research laboratories and industry. For this pur­ pose, the technical committee Mathematics of Control of IFAC organizes biennial conferences with the objective of bringing together experts to exchange ideas, ex­ periences and future developments in control applications of optimization. There should be a genuine feedback loop between mathematicians, computer scientists, engineers and software developers. This loop should include the design, application and implementation of algorithms. The contributions of industrial practitioners are especially important. These proceedings contain selected papers from a workshop on CONTROL Ap­ PLICATIONS OF OPTIMIZATION, which took place at the Fachhochschule Miinchen in September 1992. The workshop was the ninth in a series of very successful bien­ nial meetings, starting with the Joint Automatic Co
出版日期Book 1994
关键词Computer-Aided Design (CAD); Optimal control; algorithm; algorithms; complexity; construction; linear opti
版次1
doihttps://doi.org/10.1007/978-3-0348-8497-6
isbn_softcover978-3-0348-9650-4
isbn_ebook978-3-0348-8497-6Series ISSN 0373-3149 Series E-ISSN 2296-6072
issn_series 0373-3149
copyrightSpringer Basel AG 1994
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Optimization in Control of Robotscs. Various possible versions of optimization problems for robots were considered in the scientific literature over the last 20 years. The paper presents a brief survey of research carried out in this field.
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Large-scale SQP Methods and their Application in Trajectory Optimizationnuous constraints (including ordinary or partial differential equations) and the variables define a discrete approximation to a continuous solution. This class is characterized by a large number of variables and sparse problem derivatives. Optimal trajectory problems have the additional property tha
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Solving Optimal Control and Pursuit-Evasion Game Problems of High Complexityy constraints leads to optimal solutions with highly complex switching structures including bang-bang, singular, and control-and state-constrained sub-arcs. In addition, also isolated boundary points may occur. Techniques are surveyed for the computation of optimal trajectories with multiple subarcs
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Control Applications of Reduced SQP Methodsns from optimal control and neighboring areas. The convergence analysis in Hilbert spaces is reviewed and the main ingredients are filtered out for the design of reduced SQP methods. As applications we chose examples from control and parameter identification with partial differential equations, proc
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Numerical Methods for Solving Differential Games, Prospective Applications to Technical Problemsability set comprises all initial positions of a game such that one player can bring the state vector to a terminal target set for any possible actions of the opposite player. In the case of linear differential games, each step of the backward procedure consists of two operations with convex polyhed
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