With the application of H∞ -control theory to dynamics of electric motorcycles, we obtain a feedback regulator served for keeping the balance between energy consumption and motion responses.
In the end, IAA may be calculated to obtain a feedback regarding generated information consistency among curators.
Including, obtaining an immediate feedback that can be used to redefine in real-time fieldwork strategies.
Based on the results obtained, a state feedback controller is constructed such that the closed-loop singular Markovian jump system is regular, impulse-free, positive and stochastically stable.
The main purpose of this article is presentation of a principle together with description of a mechatronic system, which enables to obtain a required feedback during developing process of piston combustion engines.
Finally, in light of the analysis result obtained, a state feedback controller is developed, and the effectiveness of the proposed approach is also illustrated by using a Monte Carlo simulation.
Then, in virtue of the results obtained, a state feedback controller is designed to ensure that the resulting closed-loop system is finite-time bounded with L1-gain performance.
As market prices differ very much according to qualities, quantities, etc., a market check (sending samples to importers) helps exporters to obtain a substantial feedback on the actual market situation.
This allows one to obtain an iterative feedback tuning algorithm for Hamiltonian systems which generates the optimal parameters by iteration of experiments.
The constant-gm method is obtained by a feedback control which keeps the transconductance of the input transistor constant.
