Multiobjective H_2/H_∞-optimal control via finite dimensional Q-parametrization and linear matrix inequalities
Abstract
The problem of multiobjective H_2/H_∞ optimal controller design is reviewed. There is as yet no exact solution to this problem. We present a method based on that proposed by Scherer (1995). The problem is formulated as a convex semidefinite program (SDP) using the LMI formulation of the H_2 and H_∞ norms. Suboptimal solutions are computed using finite dimensional Q-parametrization. The objective value of the suboptimal Q's converges to the true optimum as the dimension of and is increased. State space representations are presented which are the analog of those given by Khargonekar and Rotea (1991) for the H_2 case. A simple example computed using finite impulse response Qs is presented.
Additional Information
© 1998 IEEE. This work was supported by DOE contract # DE-AC03-76SF00515 and by DARPA through the Department of Air Force under contract F49620-95-1-0525-P00001.Attached Files
Published - 00688463.pdf
Submitted - H∞-optimal_control_via_finite_dimensional_Q-parametrization_and_linear_matrix_inequalities.pdf
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Additional details
- Eprint ID
- 54848
- Resolver ID
- CaltechAUTHORS:20150217-073735707
- Department of Energy (DOE)
- DE-AC03-76SF00515
- Air Force Office of Scientific Research (AFOSR)
- F49620-95-1-0525-P00001
- Defense Advanced Research Projects Agency (DARPA)
- Created
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2015-02-24Created from EPrint's datestamp field
- Updated
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2021-11-10Created from EPrint's last_modified field