Exact(36)
We can categorize the existing algorithms for OFDM systems identification in four groups.
We consider CT as a coherent set of cognitive and metacognitive strategies engaged in (complex) systems identification, representation, programming, and evaluation.
In this paper, Assumptions (2) has been used in order to concentrate on various aspects of PWA systems identification without getting entangled in the complexities of "orders" estimation.
Nonlinear discrete time systems identification based on instrumental variable (IV) method and Takagi Sugeno (TS) fuzzy model is proposed in this paper.
The integration of fuzzy methods with optimization, systems identification, and parameter estimation techniques offers robust and efficient tools for the modeling of real-world industrial processes.
and equipment selections (conventional or innovative transhipment systems, rail access systems, identification, location and positioning devices, semi-automatic control, information systems, etc).
Similar(24)
The newest entry in the AI category is titled "Agnostic system identification for model-based reinforcement learning".
The Passive System Identification attack was originally referred, in [12], as System Identification attack.
Therefore, a system identification can be avoided.
This approach is known as system identification.
Fig. 1 Signal model for system identification and AEC.
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