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In this paper, a significantly modified multiple model approach is developed to achieve robust control with global stability.
In this paper, an application of a multiple model approach for the design of inferential instruments is reported.
In this work, we address these lacunae by presenting a systematic multiple model approach to describe nonlinear switched systems.
This paper presents multiple observer design for nonlinear chaotic systems with unknown inputs in multiple model approach.
The evaluation is based on a linear multiple model approach which describes the nonlinear system behavior in different operating points.
A multiple model approach to the dynamics and control of chaotic chemical processes is developed in this paper.
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The use of the road network for pedestrian tracking, enabling multiple model approaches is novel.
The major limitation of reported multiple model approaches is that robustness against process/controller disturbances cannot be addressed for processes consisting of hybrid stable/unstable regimes, or with chaotic dynamics.
A data re-initialization (DR) scheme is proposed using multiple models approach with special initialization technique to smooth transition between different environments.
When multiple modeling approaches were reported for the same main group, the results from the model that corresponded to that reported in the abstract were extracted.
Additional file 1: Mapping the EQ-5D index from the Cystic Fibrosis Questionnaire-Revised using multiple modelling approaches.
More suggestions(15)
multiple models approach
multiple scenario approach
multiple imputation approach
multiple outputation approach
multiple access approach
multiple model analysis
multiple model tracking
multiple period approach
multiple regression approach
multiple model algorithm
multiple integration approach
multiple comparison approach
multiple mode approach
multiple barrier approach
multiple perspective approach
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