Automatic Loop Shaping in QFT using Hybrid Optimization and Consistency Technique

This paper proposes an efficient algorithm for automatic loop shaping in Quantitative Feedback Theory(QFT). The proposed method uses hybrid optimization and consistency techniques. Hull consistency is used to prune the input domain by removing the inconsistent values which are not a part of the solution. The hybrid optimization part combines interval global optimization and nonlinear local optimization methods. The proposed method is demonstrated on uncertain DC motor plant model and performance is compared with those of existing interval methods.