A Versatile Framework for Data-Driven Control of Nonlinear Systems

TL;DR

This paper introduces a comprehensive, unifying framework for data-driven control of nonlinear systems, enabling systematic design and synthesis of controllers with broad applicability and new insights.

Contribution

It presents a high-level, systematic approach to formulate and solve nonlinear control problems using data-driven methods, unifying existing techniques and enabling new results.

Findings

Framework successfully synthesizes control algorithms meeting design specifications

Demonstrates versatility through various practical examples

Enables derivation of novel control insights and results

Abstract

This note aims to provide a systematic investigation of direct data-driven control, enriching the existing literature not by adding another isolated result, but rather by offering a unifying, versatile, and broad framework that enables the generation of novel results in this domain. We formulate the nonlinear design problem from a high-level perspective as a set of desired controlled systems and propose systematic procedures to synthesize data-driven control algorithms that meet the specified design requirements. Various examples are presented to demonstrate the applicability of the proposed approach and its ability to derive new insights and results, illustrating the novel contributions enabled by the framework.