Robust Control Toolbox provides tools for analyzing and automatically tuning control systems for performance and robustness. You can create uncertain models by combining nominal dynamics with uncertain elements, such as an uncertain parameter or unmodeled dynamics. You can analyze the impact of plant model uncertainty on control system performance and identify worst-case combinations of uncertain elements. Using H-infinity or mu-synthesis techniques, you can design controllers that maximize robust stability and performance. The toolbox can automatically tune both SISO and MIMO robust controllers, including decentralized control architectures modeled in Simulink. You can validate your design by calculating worst-case gain and phase margins and worst-case sensitivity to disturbances. The more important features are de next: Modeling of systems with uncertain parameters or neglected dynamics Worst-case stability and performance analysis of uncertain systems Automatic tuning of centralized and decentralized control systems Robustness analysis and controller tuning in Simulink H-infinity and mu-synthesis algorithms General-purpose LMI solvers for feasibility, minimization of linear objectives, and generalized eigenvalue minimization Model reduction algorithms based on Hankel singular values
Recommendations
PID Control of Inverted Pendulum Using Adams and Matlab Co-Simulation
ICCMA '16: Proceedings of the 4th International Conference on Control, Mechatronics and AutomationThis research is aimed at developing a multi-body simulation model and control of an inverted pendulum. A virtual prototype of the inverted pendulum is built by using MSC Adams software and the plant model is exported to MATLAB. It is co-simulated in ...
Introduction to Control Systems Design Using Matlab
Control systems theory is a wide area covering a range of artificial and physical phenomena. Control systems are systems that are designed to operate under strict specifications, to satisfy certain aims, like safety regulations in the industry, optimal ...