Robust Control Toolbox™ provides functions and blocks for analyzing and tuning control systems for performance and robustness in the presence of plant uncertainty. You can create uncertain models by combining nominal dynamics with uncertain elements, such as uncertain parameters or unmodeled dynamics. You can analyze the impact of plant model uncertainty on control system performance, and identify worst-case combinations of uncertain elements. H-infinity and mu-synthesis techniques let you design controllers that maximize robust stability and performance.
The toolbox automatically tunes both SISO and MIMO controllers for plant models with uncertainty. Controllers can include decentralized, fixed-structure controllers with multiple tunable blocks spanning multiple feedback loops.
Learn the basics of Robust Control Toolbox
Models of systems with uncertain parameters or unmodeled dynamics
Statistical and worst-case analysis of stability and performance
Frequency-domain MIMO controller design, controller design for uncertain systems
Order reduction of plant models and synthesized controllers
LMI solvers, control system analysis and design with LMIs