The proposed observer can be applied to multi-input-multi-output systems, without assuming any normal form representation.
The conditions imposed are the standard detectability and stabilizability of Linear Quadratic Gaussian (LQG) theory, while a separation principle is shown between the design of the control and communication systems, without assuming knowledge of the control sequence at the encoder/decoder.
Wang and Zhou [3] investigated the complete controllability of fractional evolution systems without assuming the compactness of characteristic solution operators.
Very recently, the authors Wang and Zhou [18] found some conditions guaranteeing the complete controllability of fractional evolution systems without assuming the compactness of characteristic solution operators by means of the Mönch fixed point technique and the measures of noncompactness.
It is worth noting that in addition to the suppression of the multi-user interference, these three proposed IIM-CBF schemes are effective in mitigating the intrinsic interference that is inherent in FBMC/OQAM-based systems without assuming that the propagation channel is almost flat fading.
Outage probability analysis of the cooperative threshold-based DF relay system is presented without assuming that all the relays can always correctly decode.
The main contributions of our study are summarized as follows: - Outage probability analysis of the cooperative threshold-based DF relay system is presented without assuming that all the relays can always correctly decode.
On the other hand, since Einstein's exploding gunpowder argument (or Schrödinger's cat), along with his later arguments over macro-systems, support incompleteness without assuming locality, one should be wary of adopting the other horn of the dilemma, affirming that the quantum state descriptions are complete and "therefore" that the theory is nonlocal.
The IBRA model can help analyze economic consequences under different system costs and system-failure risk levels without assuming probabilistic distributions for random variables.
Compared with ANN, the new model is generated without assuming system structure or parameters a prior, thus no parameters needs to be initialized, which can help circumvent the bottleneck of estimating all initial parameters.
