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To solve this problem, the advanced H∞ control theory is employed to design a robust current controller in stationary coordinates.
These structural features are employed to design a fast algorithm, which shows excellent numerical behavior.
Eco-design methods for a single product therefore cannot be employed to design a product family.
The proposed CRA method is then employed to design a fractional order controller.
Direct feedback linearization (DFL) technique is employed to design a nonlinear controller.
Next, a continuous finite-time control method is employed to design a tracking controller.
The Lyapunov analysis is employed to design a control law that asymptotically stabilizes the string.
In[5], the solution of a simple single user case is employed to design a heuristic for the general multiuser case.
In this paper, the famous differential inclusions, set-valued maps, and Lyapunov Razumikhin are employed to design a feedback controller law for MRNNs.
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The criterion is employed to design an algorithm for computing a polytopic robust control invariant set.
During enrolment, faces captured in reference videos are employed to design an individual-specific classifier.
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