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Secondly, according to the sliding mode control method, a controller is designed to achieve the consensus tracking problem when the followers are described by the fractional-order linear dynamics.
Based on the fractional-order Lyapunov direct method, a controller is designed to drive the synchronization error convergence to zero asymptotically.
In our proposed method, a controller, a check device and an actuator are designed for finding the stable consolidated subset of the substrate resources.
By using the direct design method, a controller is designed to transform the error system into a nonlinear system with the special antisymmetric structure.
In the proposed method, a controller is designed in terms of the optimal linear model representation of the nominal system around each operating point of the trajectory, while the uncertainties are decomposed such that the uncertain nonlinear system can be rewritten as a set of local linear models with disturbed inputs.
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The control method yields a controller that adapts to parameter changes of the LPV system.
This control method adjusts a controller based on past system and environmental data.
The chapter applies the algebraic tuning method to a controller with dead time and presents the robust Exact MV method used in the Foxboro I/A Series for adapting gain scheduling to maintain feedback performance despite process change.
This paper studies discrete-time dissipative control and proposes a design method for a controller ensuring a given stability margin.
For a system whose state signal is unavailable and whose coefficient matrices have structured uncertainty, the method gives a controller which satisfies an H∞ norm condition for quadratic stability and the partial pole configuration, under a certain sufficient condition.
By integrating disturbance observer based control with back-stepping method, a composite controller is designed.
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