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The paper takes the form of parallel distributed compensation and treats the dropouts as random binary numbers that form Bernoulli distribution.
The proposed stabilizer is based on parallel distributed compensation (PDC).
A Non parallel distributed compensation controller is considered.
For this, a novel structure of modified parallel distributed compensation control laws is proposed.
Under the parallel distributed compensation (PDC) design method, an output feedback decentralized controller is developed.
Secondly, a nonlinear observer based controller, adopting the so-called parallel distributed compensation structure is designed.
The control method in this paper is based on parallel distributed compensation approach (PDC).
The performance of BPR is compared with a parallel distributed compensation classic.
Secondly, a method for designing parallel distributed compensation fuzzy state-feedback controllers is proposed.
A stability condition is derived by employing the concept of dynamic parallel distributed compensation.
The developed approach is based on the parallel distributed compensation concept.
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