− The paper deals with joint state and parameter estimation for nonlinear continuous-time systems. Based on a guaranteed LPV approximation, the set adaptive observers design problem is solved avoiding the exponential complexity obstruction usually met in the set-membership parameter estimation. Potential application to fault diagnosis is considered. The efficacy of the proposed set adaptive obs...

Visual analytics systems aim to transform data into knowledge by integrating visualization and automation. We present a classification of the elements of the parameter optimization problem from a perceptual perspective. To illustrate its utility, we apply this classification to the design of a visual analytics interface for parameter optimization of biomedical image analysis algorithms. Author

IL-6 signaling plays an important role in inflammatory processes in the body. While a number of models for IL-6 signaling are available, the parameters associated with these models vary from case to case as they are non-trivial to determine. In this study, optimal experimental design is utilized to reduce the parameter uncertainty of an IL-6 signaling model consisting of ordinary differential e...

An optimal layout synthesis methodology for CMOS MEMS accelerometers is presented. It consists of a parametrized layout generator that optimizes design objectives while meeting functional specifications. The behavior of the device is estimated using lumped parameter analytical equations. The design problem is then formulated into a non-linear constrained optimization problem. Such an approach t...

The system considered la representative of certain inertially stabilized attitude control systems for NASA Space Vehicles. Its design is presented in order to indicate how such systems may be designed using various available analytical and graphical procedures. The essential problem is to select appropriate compensating network parameters such that for a range of variations of the angles betwee...