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Polynomial Design of Optimal Sampled-Data Tracking Systems: II. Robust Optimization

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Abstract

A direct method for robust sampled-data tracking systems design is presented. The method is based on the use of Laplace transformation in continuous time and polynomial equation theory. A criterion is proposed for robust optimization of sampled-data tracking systems. The structure of the optimal robust controller transfer function is investigated and its order is determined explicitly. The relations between robust and quadratic optimization problems are established. A mixed optimization problem is considered, when the cost function includes the integral quadratic error and a robustness term.

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  1. The State Marine Technical University, St. Petersburg, Russia

    K. Yu. Polyakov

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  1. K. Yu. Polyakov
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Polyakov, K.Y. Polynomial Design of Optimal Sampled-Data Tracking Systems: II. Robust Optimization. Automation and Remote Control 62, 430–442 (2001). https://doi.org/10.1023/A:1002810328547

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