In the proposed control approach, LQ theory is first utilized to design a low-gain controller such that the control signals satisfy the input constraints.
For a linear system we can design a switching scalar output feedback controller such that the control system exhibits chaotic behavior in form of n-scroll attractor.
The silane release was controlled by a mass flow controller such that the amount before the ignition can be accurately controlled.
A common approach to Lyapunov's stability control is to design a controller such that a Lyapunov function can be derived for the control system to ensure stability.
The synergy of two control concepts re-configures the controller such that the system is tolerant to unknown faults.
For online path tracking, the nominal, feedforward trajectories are combined with feedback in a control architecture with a secondary controller, such that robustness to uncertainties in model or environment is achieved.
The aim of the addressed reliable H∞ control problem is to design a controller such that, for the admissible infinite distributed delays and possible actuator failures, the closed-loop system is exponentially stable with a given disturbance attenuation level γ.
The objective of the strictly positive real control problem is to design a controller such that the transfer function is strictly positive real and the resulting closed-loop system is stable.
The attention is focused on the design of a piecewise static output feedback controller such that the closed-loop control system is stochastically stable with a guaranteed H∞ performance.
The aim of the addressed reliable passive control problem is to design a state feedback controller such that, for all possible actuator failures, the resultant closed-loop system is regular, impulse-free, exponentially stable, and passive.
The robust H∞ control problem is to design a state feedback controller such that the robust stability and a prescribed H∞ performance of the resulting closed-loop system is ensured.
