Affiliation:
1. Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan, 70101, Taiwan
Abstract
In this paper, we present a modified method of data-based LQ controller design which is distinct in two major aspects: (1) one may prescribe the z-domain region within which the closed-loop poles of the LQ design are to lie, and (2) controller design is completed using only plant input and output data, and does not require explicit knowledge of a parameterized plant model.
Subject
Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering
Reference12 articles.
1. Kalman R. E. , (1960), “Contribution to the Theory of Optimal Control,” Bol. Soc. Mat. Mex., Vol. 5, pp. 102–19.
2. Kalman, R. E. (1963), The Theory of Optimal Control and the Calculus of Variations, Mathematical Optimization Techniques, University of California Press, Berkeley.
3. Bryson, A. E., and Y. C. Ho (1975), Applied Optimal Control, Hemisphere Publishing, New York.
4. Patel, R. V., and Munro, N. (1982), Multivariable System Theory and Design Pergamon Press, Oxford.
5. Doyle J. C. , (1978), “Guaranteed Margins for LQG Regulators,” IEEE Transaction on Automatic Control, Vol. AC–23, pp. 756–7.
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