The feedforward part employs an inverse of a modified Moving-Boundary model, combined with online adaption of parameters.
Parameter adaption law is designed for the parametric uncertainties.
The state observer is proposed to estimate unmeasured states and the adaptive tracking control is investigated to handle system uncertainties and external disturbances using neural networks (NNs) and parameter adaption method.
All of these were induced either by a change of stimulation parameters, or by battery depletion, so that anxiety symptoms were quickly resolved after parameter adaption or pacemaker exchange.
The first one shows the use of dFasArt to decide when the parameters adaption is needed in a classic adaptive control scheme.
An L1 adaptive autopilot is then designed, which allows to achieve fast adaption to system parameters' changes and robustness of the closed loop system.
Arising changes in the insulin effect are incorporated in the model by frequent parameter adaptions.
Neural networks (NN) and backpropagation are employed to tackle the optimization problem, based on an online adaption of impedance parameters.
The knowledge about mixing and the transport efficiency of non-spherical particles on grates is needed for the improvement of design and adaption of operational parameters in grate combustion systems.
At each step of design, a feedback controller strengthened by nonlinear damping terms to counteract modelling errors is designed to guarantee input-to-state practical stability of the corresponding subsystem, and then parameter adaptions are introduced to reduce the ultimate error bound.
