Optimum control of sampling systems through optimized trajectory tracking

A new dynamic optimization method is proposed in this paper for sampled data control systems. Using the method, only parameters of the control stage computed in the preceding step are used for determination of a new point of the optimum trajectory. A multistage optimization is reduced to two-stage optimization and iteration, and thus solution of the constant sampling interval as well as variable sampling interval optimization problem can be obtained in many cases with relatively small amount of computations. Several methods are available for solution of the optimum control problem, but individual optimization procedures are suitable only for certain problems. The efficiency and advantages of the method are shown in the paper.