In industry, a feedback controller with look-up table (LUT) is often used for nonlinear systems. Although this structure easy to understand, tuning the LUT parameters time-consuming due huge number of parameters. This paper presents direct data-driven design method gain-scheduled directly tune from single-experiment data without system model. Specifically, conventional virtual reference (VRFT),...

There has been growing interest in using photonic processors for performing neural network inference operations; however, these networks are currently trained standard digital electronics. Here, we propose on-chip training of enabled by a CMOS-compatible silicon architecture to harness the potential massively parallel, efficient, and fast data operations. Our scheme employs direct feedback alig...

This paper considers the problem of designing a controller for an unknown plant based on input/output measurements. The new design method we propose is direct (no model identification of the plant is needed) and can be applied using a single set of data generated by the plant, with no need for specific experiments nor iterations. It is shown that the method searches for the global optimum of th...

<p class="AbstractText"><em>This study explored the use of direct corrective feedback in Thesis Proposal writing course where students are expected to develop their undergraduate thesis proposal at Universitas Brawijaya and how can help deal with academic writing. The data were obtained from six who have taken Writing one lecturer taught using two instruments: an interview guide obs...

By defining a special differential Nash game with an open-loop information structure scheme, a simple and direct method to obtain non-uniform multiple pole shifting for linear multivariable systems is presented. The approach is based on exploiting some properties of nonsymmetric algebraic Riccati equations associated with the Nash game. Combining solutions of such equations gives, in a single s...