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Then, the problem of simultaneously stabilizing both the non-faulty and faulty plants is analyzed.
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The main idea of this FTC method is to adapt the faulty plant to the nominal controller instead of adapting the controller to the faulty plant.
The stability of the reconfigured control loop is guaranteed if the faulty plant is stabilizable/detectable.
This controller is designed such that it can stabilize the faulty plant using Lyapunov theory and LMIs.
The faulty plant is a quantised system, for which a stochastic automaton is derived as purely discrete-event representation.
The necessary degrees of freedom are created by placing a reconfiguration block between nominal controller and faulty plant.
That is, the faulty plant together with the virtual actuator block allows the controller to see the same plant as before the fault.
Later, virtual actuators are added to the control scheme, such that the faulty plant is reconfigured, and the fault is hidden from the controller point of view.
To guarantee the feasibility of proposed fault-tolerant control method, the necessary conditions for the faulty plant and the minimum data rate of the communication are analyzed.
The proposed FTC design scheme integrates the state estimation, the leakage identification and the state feedback control law, to guaranty the stabilization of the faulty plant.
A procedure is presented for the design of a bank of fault-tolerant controllers capable to stabilize and guarantee an H2-performance bound for all faulty plant modes in the presence of network-induced time-varying delays.
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CEO of Professional Science Editing for Scientists @ prosciediting.com