A Constraint Mapping Technique for System Optimization

摘要

Physical constraints on complex systems are often specified in both the state space and control space. A technique is presented in this paper for digital computation to determine if the specifications are mutually consistent with the system dynamics and, if so, for mapping all constraints into the control space. The method is applicable to nonlinear, non-stationary systems. However, closed form solutions are given for linear non-stationary systems. Some examples show application of the technique to linear and nonlinear systems. (Author)