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Both unknown parameters and uncertainty bounds are estimated and, based on these estimates, controller parameters are updated at each step.
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Also, the behavior of the proposed controller has been estimated with respect to the change of load torque, variable reference speed, ambient temperature, and radiation.
Secondly, by finding the relationship between the plant parameter estimate and controller parameter estimate and using the properties of plant parameter estimate, the similar properties of controller parameter estimate are also established.
To compensate for the disturbances, we estimate their unknown bounds and employ the estimates in controller design.
A robust functional (reduced order) observer approach is proposed to estimate the controller directly.
and 3) How to estimate the controller's fault-tolerant ability?
Different from the existing data-driven model-free adaptive control approach, an aperiodic neural network weight update law is introduced to estimate the controller parameters, and the event-trigger mechanism is activated only if the event-trigger error exceeds the threshold.
Application of the proposed method allows to eliminate an uncertainty of switching frequency to system open loop crossover frequency ratio choice, to estimate designed controller quality indices (overshoot, settling time and steady-state error) taking into consideration its essentially nonlinear nature and to guarantee bifurcation phenomena absence with high probability.
Dynamics of the agents (also called the nodes) are assumed to be unknown to the controller and are estimated using Neural Networks.
The same principle was used by Rangwala et al. in [11] to establish a congestion control scheme for static wireless mesh networks: a distributed rate controller estimates the available capacity within each neighborhood and divides it to contending flows.
The application controller estimates the available bandwidth using TFRC based bandwidth estimation [4], in which the available bandwidth is calculated using Equation 1: T = s R 2 p 3 + t R T 0 3 3 p 8 p ( 1 + 32 p 2 ) (1).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com