Control Design State Space And Lyapunov Techniques Systems Control Foundations Applications [2021] | Robust Nonlinear

can be designed to have a "margin" that absorbs small perturbations. 3.2 Recursive Design: Backstepping

Robust Nonlinear Control Design: State-Space and Lyapunov Techniques (part of the Springer Systems & Control series) provides a unified, global framework for controlling nonlinear systems by merging Lyapunov stability theory, set-valued analysis, and game theory. The approach ensures robust stabilization against uncertainties and disturbances, utilizing methods like Input-to-State Stability (ISS) and backstepping to guarantee performance beyond linear approximations. For more information, visit Springer . can be designed to have a "margin" that

) remains negative even when the system encounters its worst-case disturbances. Key Methodologies in Foundations & Applications For more information, visit Springer

A controller is robust if it maintains stability and performance despite these uncertainties. Combining robustness with nonlinearity is one of the most challenging aspects of control engineering. Combining robustness with nonlinearity is one of the

: Emphasis is placed on designs that are valid for the entire region of model validity, rather than just small-scale linearizations.