A Tighter Exact Convex Modeling for Improved LMI-Based Nonlinear System Analysis and Design

This article presents a novel methodology for exact convex rewriting of nonlinear systems that generalizes the well-known sector nonlinearity approach; it allows improving the capabilities of those methodologies based on polytopes and the direct Lyapunov method, which are still an active research area of fuzzy control systems. Depending on the computational burden, a tighter fitting of interdependent nonlinearities allows avoiding useless or damaging vertices, thus remarkably improving the feasibility chances of analysis and design, while preserving conditions in the form of linear matrix inequalities. A variety of examples give account of the advantages of the proposal.

Automated summary

This article introduces a novel methodology for exact convex rewriting of nonlinear systems, which can enhance the capabilities of control systems research based on polytopes and the direct Lyapunov method. By tighter fitting of interdependent nonlinearities, it effectively improves the feasibility of analysis and design while maintaining conditions in the form of linear matrix inequalities.