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An LMI approach to robust model predictive control of nonlinear systems with state-dependent uncertainties
The design of robust model predictive controller (RMPC) for uncertain nonlinear system is a
challenging problem in the area of nonlinear control, yet. A new approach to RMPC is …
challenging problem in the area of nonlinear control, yet. A new approach to RMPC is …
Simultaneous robust model predictive control and state estimation for nonlinear systems with state‐and input‐dependent uncertainties
F Badfar, AA Safavi - Asian Journal of Control, 2024 - Wiley Online Library
The convergence and stability of uncertain nonlinear systems is a challenging problem in
the nonlinear control area. Besides, in many practical cases, all states are not measurable …
the nonlinear control area. Besides, in many practical cases, all states are not measurable …
[КНИГА][B] A data-driven hierarchical framework for planning, navigation, and control of uncertain systems: Applications to miniature legged robots
K Karydis - 2015 - search.proquest.com
Performing navigation with state-of-the-art mobile robots in real-world settings is challenging
because of, among other reasons, the presence of uncertainty. Dealing with uncertainty in …
because of, among other reasons, the presence of uncertainty. Dealing with uncertainty in …