Abstract
A control parametrization approach for determining the near optimal solution of linear quadratic (LQ) problems is developed. By assuming each control variable to be piecewise continuous, the proposed approach converts an LQ problem into an unconstrained quadratic programming problem. The near optimal control response can then be determined by solving a system of linear algebraic equations. The control parametrization approach can eliminate the major repetitive computations in designing an LQ control law, a process that often involves multiple adjustments of different weighting matrices. This feature makes the proposed approach a computationally attractive tool for LQ controller design. Simulation studies show that the control parametrization approach is particularly well suited for large scale systems that possess a small control/state dimension ratio.
Published Version
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