Boolean and probabilistic approaches to indexing, query formulation, and output ranking.
Twenty methods are reviewed for their goal and scope, developer, target application, required data, considered aspects and parameters, exposure assessment, hazard extent estimation, index formulation, and output data.
In this paper, we present a new off-line formulation of output feedback robust model predictive control for systems with polytopic uncertainty.
Based on Lyapunov theory, linear matrix inequality (LMI) and linear matrix equality (LME) formulation, the output feedback controller is established to not only guarantee stable synchronization of both master and slave systems but also reduce the effect of external disturbance to an H∞-norm constraint.
In this formulation, each output voxel is actually obtained by averaging several predictions, which helps to reduce the variance component of the generalization error.
The single input-multiple output formulation was validated using experimental strain measurements of hammer pulse tests.
The transfer function of the hidden layer for this formulation and the output layer were tansig and purlin, respectively.
Low online computational cost is achieved by employing an input-output formulation of the stochastic MPC problem.
This is accomplished by separating the narrowband and wideband input components, and then using a penalty function formulation to place output power constraints on the narrowband portion.
This paper presents a new methodology for the design of damping controllers, based on a new formulation of the output feedback control problem, which is very well suited for the task of oscillation damping in power systems.
