Algorithms are presented for generation of QFT controller bounds to achieve robust sensitivity reduction and gain-phase margin specifications. The proposed algorithms use quadratic constraints and interval plant templates to derive the bounds, and present several improvements over existing QFT bound generation algorithms: (1) The bounds can be generated over interval controller phases, as opposed to discrete controller phases in existing QFT algorithms. This feature essentially solves the safety problems associated with phase discretization process in QFT bound generation; (2) The generated bounds are guaranteed to be safe and reliable, even for very coarse interval templates (of poor accuracy), and despite all kinds of computational errors; (3) Inner as well as outer enclosures of the exact bound values can be obtained using the proposed algorithms. Such enclosures directly provide upper bounds on the error in the generated results for any given interval template; (4) A very significant reduction in computational effort—typically, reduction in flops by 2–3 orders of magnitude is achieved; (5) The vertical line (or rectangle) nature of plant templates exhibited in the low and high frequency ranges can be readily exploited to obtain bounds with very little effort; (6) The number of flops required to generate the bounds for any given template can be estimated closely a priori; (7) The (entire) algorithms can be programmed using vectorized operations, resulting in small execution times. [S0022-0434(00)02403-5]

1.
Horowitz
,
I.
,
1991
, “
Survey of Quantitative Feedback Theory (QFT)
,”
Int. J. Control
,
53
, No.
2
, pp.
255
291
.
2.
Brown, M., and Petersen, I., 1991, “Exact computation of the Horowitz bound for interval plants,” Proc. of 30th IEEE Conf. on Decision and Control, pp. 2268–2273.
3.
Fialho, I. J., Pande, V., and Nataraj, P. S. V., 1992, “Design of feedback systems using Kharitonov’s segments in Quantitative Feedback Theory,” Proc. First QFT Symposium, pp. 457–470, Dayton, Ohio.
4.
Zhao
,
Y.
, and
Jaisuriya
,
S.
,
1994
, “
On generation of QFT bounds for general interval plants
,”
ASME J. Dyn. Syst., Meas., Control
,
116
, No.
4
, pp.
618
627
.
5.
Bailey
,
F. N.
,
Panzer
,
D.
, and
Gu
,
G.
,
1988
, “
Two algorithms for frequency domain design of robust control systems
,”
Int. J. Control
,
48
, No.
5
, pp.
1787
1806
.
6.
East
,
D. J.
,
1981
, “
A new approach to optimum loop synthesis
,”
Int. J. Control
,
34
, No.
4
, pp.
731
748
.
7.
Houpis, C. H., and Lamount, G. B., 1988, ICECAP-QFT Users Mannual, Wright-Patterson AFB.
8.
Longdon
,
L.
, and
East
,
D. J.
,
1979
, “
A simple geometrical technique for determining loop frequency bounds which achieve prescribed sensitivity specifications
,”
Int. J. Control
,
80
, No.
1
, pp.
153
158
.
9.
Nataraj, P. S. V., 1994, “A MATLAB based toolbox for synthesis of lumped linear and nonlinear and distributed systems,” IEEE/IFAC Symposium on Computer Aided Control System Design, pp. 513–518, Tucson, AZ.
10.
Wang, G. C., Chen, C. W., and Wang, S. H., 1991, “Equation for Loop Bound in Quantitative Feedback Theory,” Proc. IEEE Conf. Decision and Control, pp. 2968–2969, England.
11.
Yaniv, O., 1990, QFT Software, Tel-Aviv University, Israel.
12.
Chait
,
Y.
,
Berghesani
,
C.
, and
Zheng
,
Y.
,
1995
, “
Single loop/QFT design for robust performance in the presence of non-parametric uncertainties
,”
ASME J. Dyn. Syst., Meas., Control
,
117
, pp.
420
424
.
13.
Chait
,
Y.
, and
Yaniv
,
O.
,
1993
, “
Multi-input/single-output computer-aided control design using the quantitative feedback theory
,”
Int. J. Robust. Nonlinear Control
,
3
, No.
1
, pp.
47
54
.
14.
Rodrigues
,
J. M.
,
Chait
,
Y.
, and
Hollot
,
C. V.
,
1997
, “
An efficient algorithm for computing QFT bounds
,”
ASME J. Dyn. Syst., Meas., Control
,
119
, No.
3
, pp.
548
552
.
15.
Yaniv
,
O.
, and
Chait
,
Y.
,
1993
, “
Direct control design in sampled-data uncertain systems
,”
Automatica
,
29
, No.
2
, pp.
365
372
.
16.
Sardar, G., and Nataraj, P. S. V., 1997, “A Template Generation Algorithm for Non-rational Transfer Functions in QFT Designs,” Proc. 36th IEEE Conf. Decision and Control, pp. 2684–2689, San Diego, CA.
17.
Nataraj
,
P. S. V.
, and
Sardar
,
G.
,
2000
, “
Template generation for continuous transfer functions using interval analysis
,”
Automatica
,
36
, pp.
111
119
.
18.
Borghesani, C., Chait, Y., and O. Yaniv, 1995, The Quantitative Feedback Theory Toolbox for MATLAB, The MathWorks, MA.
19.
Klatte, R., Kulisch, U., Neaga, M., Ratz, D., and Ullrich, C., 1993, PASCAL-XSC Language Reference with Examples, Springer-Verlag, Berlin, Heidelberg.
20.
Moore, R., 1979, Methods and Applications of Interval Analysis, SIAM, Philadelphia.
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