SYMBOLIC-BASED REPRESENTATION AND ANALYSIS OF PARAMETER VARYING SYSTEMS
Mohamed Saleh El Sayed Ahmed;
Abstract
Summary:
This thesis addresses the problem of exact generic symbolic formulation, derivation and solution Parameters Varying Systems (PVS) problems in control systems. Comparison between the exact generic symbolic mathematical approaches versus various techniques is investigated. The comparisons revealed that the generality and flexibility of the exact generic symbolic mathematical concept. The parameter varying systems are addressed from the physical, mathematical, and representation perspectives. The proof of concept of the new suggested concept is shown by solving different applications. For control applications, the notion of symbolic VPS control strategy realization is carried out through the incorporation of embedded configurable function units. Finally, such presented notions in this research represent a new leap towards moving back to the roots of exact generic symbolic systems.
This thesis addresses the problem of exact generic symbolic formulation, derivation and solution Parameters Varying Systems (PVS) problems in control systems. Comparison between the exact generic symbolic mathematical approaches versus various techniques is investigated. The comparisons revealed that the generality and flexibility of the exact generic symbolic mathematical concept. The parameter varying systems are addressed from the physical, mathematical, and representation perspectives. The proof of concept of the new suggested concept is shown by solving different applications. For control applications, the notion of symbolic VPS control strategy realization is carried out through the incorporation of embedded configurable function units. Finally, such presented notions in this research represent a new leap towards moving back to the roots of exact generic symbolic systems.
Other data
| Title | SYMBOLIC-BASED REPRESENTATION AND ANALYSIS OF PARAMETER VARYING SYSTEMS | Authors | Mohamed Saleh El Sayed Ahmed | Issue Date | 2018 |
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