We then design the controller based on dynamic surface control method for a single link flexible joint manipulator whose model is unknown.
A fault-free controller is proposed using dynamic surface control (DSC) combined with fuzzy adaptive approach.
"The explosion of complexity" occurred in the traditional backstepping technique has been avoided utilizing the dynamic surface control (DSC) technique and the designed controller is singularity free.
The tracking controller is designed by modifying dynamic surface control, which replaces the traditional first-order filter with a high-gain tracking differentiator (HGTD).
The velocity controller is designed by combining the dynamic surface control (DSC) design and a novel predictor based iterative neural network (PINN) control method.
The dynamic surface control (DSC) approach is applied in the synchronization controller design, and the traditional problem of "explosion of complexity" that usually occurs in the backstepping design can be avoided.
The baseline controllers for altitude and velocity commands tracking are designed using dynamic surface control (DSC) and dynamic inversion.
Then, a novel distributed robust adaptive controller is developed by combining the backstepping method and the Dynamic Surface Control (DSC) approach.
Two dynamic surface control design approaches based on integral barrier Lyapunov function are proposed to design controller ensuring both desired tracking performance and constraint satisfaction.
"Dynamic Surface Control of Engine Exhaust Hydrocarbons and Catalyst Temperature for Reduced Coldstart Emissions".
Pseudo-inputs associated with rotational motion are depicted using adaptive dynamic surface control theory.
