作者: Frank H. Clarke , Richard B. Vinter
DOI: 10.1137/0327056
关键词: Scope (project management) 、 Optimization problem 、 Mathematical optimization 、 Control system 、 Mathematics 、 Artificial intelligence 、 Dynamic method 、 Optimal control 、 Robot 、 Constraint (mathematics) 、 Robotics 、 Control and Optimization 、 Applied mathematics
摘要: In a previous paper theory of necessary conditions for optimal multiprocess problems was supplied, that is, in dynamic optimization involving collection control systems coupled through constraints on the endpoints trajectories and cost functions. Here scope new is illustrated by application to investment planning, impulse control, optics, robotics, renewable resources.