## Abstract

This paper shows how ℋ^{∞} near-optimal finite-dimensional compensators may be designed for stable linear time invariant (LTI) infinite dimensional plants subject to convex constraints. The infinite dimensional plant is approximated by a finite dimensional approximant. The Youla parameterization is used to parameterize the set of all stabilizing LTI controllers and formulate a weighted mixed-sensitivity ℋ^{∞} optimization that is convex in the Youla Q-Parameter. A finite-dimensional (real-rational) stable basis is used to approximate the Q-parameter. By so doing, we transform the associated infinite dimensional optimization problem from to a finite-dimensional optimization problem involving a search over a finite-dimensional parameter space. In addition to solving weighted mixed sensitivity ℋ^{∞} control system design problems, subgradient concepts are used to directly accommodate time-domain specifications (e.g. peak value of control action) in the design process. As such, we provide a systematic design methodology for a large class of infinite-dimensional plant control system design problems. In short, the approach taken permits a designer to address control system design problems for which no direct method exists. Convergence results are presented. An illustrative example for a thermal diffusion process is also provided.

Original language | English (US) |
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Title of host publication | Proceedings of the 2006 American Control Conference |

Pages | 1009-1014 |

Number of pages | 6 |

State | Published - Dec 1 2006 |

Event | 2006 American Control Conference - Minneapolis, MN, United States Duration: Jun 14 2006 → Jun 16 2006 |

### Publication series

Name | Proceedings of the American Control Conference |
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Volume | 2006 |

ISSN (Print) | 0743-1619 |

### Other

Other | 2006 American Control Conference |
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Country/Territory | United States |

City | Minneapolis, MN |

Period | 6/14/06 → 6/16/06 |

## ASJC Scopus subject areas

- Electrical and Electronic Engineering

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