Robust optimization of distributed parameter systems

Allen R. Tannenbaum

doi:10.1117/12.208830

5 May 1995 Robust optimization of distributed parameter systems

Allen R. Tannenbaum

Proceedings Volume 2442, Smart Structures and Materials 1995: Mathematics and Control in Smart Structures; (1995) https://doi.org/10.1117/12.208830
Event: Smart Structures and Materials '95, 1995, San Diego, CA, United States

Abstract

In this paper, we discuss the use of new methods from robust control and especially H^(infinity ) theory for the explicit construction optimal feedback compensators for several practical distributed parameter systems. Indeed, based on operator and interpolation theoretic methods one can now solve the standard H^(infinity ) control problem for a broad class of systems modelled by PDEs. On our approach, the complexity of the computations involved is only a function of the weighting filters, and not the state space dimension which is why we can handle infinite dimensional systems with no approximations involved. These techniques are based on certain operator theoretic notions connected with a class of operators which we call skew Toeplitz. These are precisely the operators which appear in the H^(infinity ) optimization problem.

Citation Download Citation

Allen R. Tannenbaum "Robust optimization of distributed parameter systems", Proc. SPIE 2442, Smart Structures and Materials 1995: Mathematics and Control in Smart Structures, (5 May 1995); https://doi.org/10.1117/12.208830

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