Parameter estimation is usually approached by augmenting parameters to the states, leading to the simultaneous estimation of states and parameters.
First, the nonlinear model of EHLS is developed, and then a Lyapunov-based control algorithm augmented with parameters update law is developed using back-stepping design method.
Section 2 provides the equations augmented with parameter α(α≥0) by applying the Leibniz rule for the non-hydrostatic pressure component together with the boundary conditions.
We augment the parameters in Equation 3 with a set of indicators, each associated with one of the parameters in the most general microsatellite mutation model, to produce a natural nesting of the described microsatellite mutation models.
To achieve model specificity of pseudopriors, we can augment the parameter space, so that φ in M v 1 is a separate parameter from that in M v 2, thus allowing different pseudopriors.
Intra notational grouping occurs when the music constituent is further augmented by adding parameters which apply in a single note level.
If this event is repeated in a determined number of consecutive instants, then the state vector is augmented with the parameters of a new vehicle.
The metamodel is formulated to approximate the system response (metamodel output) with respect to both the design variables and the uncertain model parameters (augmented metamodel input), so that it can simultaneously support the uncertainty propagation and the design optimization, adopting a sequential approximate optimization (SAO) strategy for the latter.
Finally, the third case study augments a parameter update law to the previous two designs such that the encryption method is more robust.
To accommodate augmented mutation model parameter space for a model-specific pseudoprior, the new function for ψ becomes (13) ψ κ = { φ I (k, δ ) δ k = 1 0 δ k = 0, where the mapping function I k, δ) returns the index of the element in φ according to k, which indicates the type of parameter, and δ, which specifies the currently active model.
