A digital controller strategy for optimization and adaptation of control systems representable in the phase plane

This thesis proposes a novel digital method for optimization and adaptation of control systems representable In the phase plane. By continually generating Its own optimum trajectories the digital controller has sufficient Intelligence to discern optimum switching points and system parameter changes. The optimum trajectory Is stored in memory as error addressed to memory position by a pseudo error rate, which is determined by a difference of error over a constant sampling period. Thus, no direct measure or calculation of error rate Is necessary. Simulation studies by digital computer show that this method Is a worthwhile consideration In the field of optimum adaptive controls, and awaits the completion of a digital controller being constructed to Implement and further study the system.