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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書目名稱Computational Optimal Control影響因子(影響力)




書目名稱Computational Optimal Control影響因子(影響力)學(xué)科排名




書目名稱Computational Optimal Control網(wǎng)絡(luò)公開度




書目名稱Computational Optimal Control網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Optimal Control被引頻次




書目名稱Computational Optimal Control被引頻次學(xué)科排名




書目名稱Computational Optimal Control年度引用




書目名稱Computational Optimal Control年度引用學(xué)科排名




書目名稱Computational Optimal Control讀者反饋




書目名稱Computational Optimal Control讀者反饋學(xué)科排名

heart-murmur

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

Incorruptible

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

CORD

Madrigal

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

Madrigal

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Cirrhosis

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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