Arizona State University Armando A. Rodriguez
ASU Professor 




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Overview of Modeling-Analysis-Design Methodology

 

Our proposed Hi-C modeling-analysis-design methodology may be visualized as shown in Figure 5.

Figure 5: Visualization of Proposed Hi-C Modeling, Analysis, Design Methodology

In short, it combines worst-case modeling and analysis with classical control ideas to obtain fundamental insight that can be used as a starting point for more powerful (proven) multivariable design methods:

  • Gain scheduling: [61]-[66], [80], [101];
  • quasi-LPV: [43], [69]-[78], [207]-[209];
  • H∞: [213]-[215];
  • Constraint enforcement: [187]-[199];
  • GPC [166]-[186];
We now elaborate on the worst-case modeling and analysis components of our methodology.

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