One-parameter exponential regression is one of the most common and widely used models in several fields, to estimate parameters one-parameter model use ordinary least square method but this not effective presence outlier values, so robust methods were treat values are using (Median-of-Means, Forward search, M-Estimation), simulation was compare between estimation with different sample sizes ass...

We present an algorithm for selecting support vector machine (SVM) meta-parameter values which is based on ideas from design of experiments (DOE) and demonstrate that it is robust and works effectively and efficiently on a variety of problems.

Abstract: Existing control theory for linear parameter varying system uses a uniform upper bound on the induced-L2 norm for the varying parameters. In this paper, this constant is generalized as a function of parameters, the design provides varying induced-L2 performance in the presence of real-time variations and consequently gives rise to the superior robust performance of the local operating...

We describe a framework for robust kinematic design based on tolerance analysis and parametric design via configuration space manipulation. The input is a parametric model of a planar mechanical system comprised of lower and higher kinematic pairs in open or closed loops. The robust synthesis task is to find a nominal design that functions correctly despite small parameter variations. This task...

Parameter design methods, in general, do not take into account the common occurrence that some of the uncontrollable factors are observable for products and processes, during operation and production, respectively. This paper introduces a methodology that facilitates on-line parameter design for products and processes utilizing the extra information available about observable uncontrollable fac...

This paper presents a parametric study on the controller design scheme for a gyroaccelerometer to have robust performance under some parameter variations. In particular, an integral and derivative based controller design method is suggested to achieve the desired performances of stability margin, bandwidth, and uniformity of scale for both gyroscopes and accelerometers with uncertainties of qua...

This paper proposes a controller design approach that integrates RTO and MPC for the control of constrained uncertain nonlinear systems. Assuming that the economic function is a known function of constrained system’s states, parameterized by unknown parameters and time-varying, the controller design objective is to simultaneously identify and regulate the system to the optimal operating point. ...

2.3. H∞ Performance 3. Controller Design Using Linear Matrix Inequalities 3.1. Linearizing Change of Variables – State Feedback 3.2. Linearizing Change of Variables Output Feedback 3.3. LMI Approach to Multiobjective Design 3.4. Existence of Solutions and Conservatism of Design 4. Illustrative Design Example: Robust Control of a Power System Stabilizer 4.1. Problem Description 4.2. Design Speci...