Optimal control with engineering applications

By H. Geering. 2007

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Solving optimal control problems of Fredholm constraint optimality via the reproducing kernel Hilbert space method with error estimates and convergence analysis (2019, background): “The latter usually aims at the formulation of the mathematical modeling that describes the aircraft systems, robotic, finance, biomedicine, chemical reactions, and variety of applications.(1-5) Because of the complexity structure of most optimization problems, OCPs are most often solved numerically.”
Geometric Approach to Pontryagin’s Maximum Principle (2008, methodology): “This technique is used in a wide range of disciplines, as for instance engineering [28, 30, 38, 55], aerospace [69], robotics [35, 37, 62], medicine [47], economics [45, 57], traffic flow [36].”
A Subway Train Timetable Optimization Approach Based on Energy-Efficient Operation Strategy (2012, methodology): “According to the Pontryagin maximum principle [36], [37],”