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The motivation for presenting the experimental results is to prove that the proposed intermittent sampled-data-based controller can be applied to anti-synchronization strategy for MDPNNs with time delays.
By using the time-state control form, the controller can be relatively easily designed based on the linear control theory.
By using appropriate nonlinear state feedback and coordinate transformation method, a nonlinear system is transformed into a linear system partially or wholly, then the system controller can be designed based on the linear control method.
Finally, the controller can be synthesized based on each equivalent system for disturbance rejection.
Parameters of the fuzzy PID controller can be designed based on the inherent saturation.
Thus, the design of the compensation controller can be achieved based on the characteristics of the B-spline function.
Based on these, a state-feedback controller can be constructed by using a simple matrix decoupling approach.
Based on Lyapunov stability theory a controller can be designed for achieving the FSHPS of hyperchaotic systems.
In this chapter, several kinds of state observer are introduced, and based on the observer, the sliding mode controller can be designed.
More details about this controller can be found in [1].
We emphasize that this full parametrization of the controller can be obtained thanks to the general problem formulation based on the geometric control theory.
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CEO of Professional Science Editing for Scientists @ prosciediting.com