Construct a generalized state-space ( genss ) model of a control system that has both tunable and uncertain parameters. You can use systune to tune the tunable parameters of such a model to
Tune a fixed-structure controller for multiple operating modes of the plant.
Perform mixed mu-synthesis with the dksyn command in the Robust Control Toolbox™. Here dksyn is used to design a robust controller for a two mass-spring-damper system with uncertainty in
Use Robust Control Toolbox™ to design a multi-input, multi-output controller by shaping the gain of an open-loop response across frequency. This technique is applied to controlling the
Use Robust Control Toolbox™ to design a robust controller (using D-K iteration) and to do robustness analysis on a process control problem. In our example, the plant is a simple two-tank
Use Robust Control Toolbox™ function ncfsyn to improve the stability robustness of a closed-loop system while approximately maintaining the high-gain and low-gain characteristics of
Robustly tune a controller for reducing vibrations in a flexible beam. This example is adapted from "Control System Design" by G. Goodwin, S. Graebe, and M. Salgado.
Use the Robust Control Toolbox™ commands usample, ucover and dksyn to design a robust controller with standard performance objectives. It can serve as a template for more complex robust
Robustly tune a PID controller for a DC motor with imperfectly known parameters.
Take into account model uncertainty when tuning a motion control system.
Use mu-analysis and synthesis tools in the Robust Control Toolbox™. It describes the design of a robust controller for the lateral-directional axis of an aircraft during powered approach
Robustly tune a PID controller for an uncertain mass-spring-damper system modeled in Simulink.
Uses the Robust Control Toolbox™ commands ucover and dksyn to design a high-performance controller for a family of unstable plants.
Use Robust Control Toolbox™ to design a robust controller for an active suspension system.