×

Upper and lower bounds of the frequency response gain of sampled-data systems. (English) Zbl 0983.93041

The authors suggest three independent methods for computing upper and lower bounds of the frequency response gains. The first method is derived with the lifting approach and does not have an approximation parameter. Although this excludes the possibility of adjusting the accuracy, the method quite often gives almost coincident upper and lower bounds in a short computational time. This is particularly useful for the combined use with the bisection algorithm, enabling one to arrive at an exact gain to any degree of accuracy with only numerically reliable computations. The second and the third methods are derived with the FR-operator approach and have an approximation parameter that can be used to improve accuracy at the expense of the computational load. They give not only the lower bound but also the upper bound of the frequency response gain. It has been also clarified that the arguments discussed here have close relationships to the sampled-data \(H_2\) and \(H_\infty\) problems.

MSC:

93C57 Sampled-data control/observation systems
93C80 Frequency-response methods in control theory
93B36 \(H^\infty\)-control
Full Text: DOI

References:

[1] Araki, M.; Ito, Y.; Hagiwara, T., Frequency-response of sampled-data systems, Automatica, 32, 4, 483-497 (1996) · Zbl 0861.93021
[2] Bamieh, B.; Pearson, J. B., The \(H_2\) problem for sampled-data systems, Systems & Control Letters, 19, 1-12 (1992) · Zbl 0765.93050
[3] Baril, C. G.; Gutman, P.-O., Performance enhancing adaptive friction compensation for uncertain systems, IEEE Transaction on Control Systems Technology, 5, 5, 466-479 (1997)
[4] Braslavsky, J. H.; Middleton, R. H.; Freudenberg, J. S., \(L_2\)-induced norms and frequency-gains of sampled-data sensitivity operators, IEEE Transactions on Automatic Control, AC-43, 2, 252-258 (1998) · Zbl 0935.93043
[5] Chen, T.; Francis, B., Optimal sampled-data control systems (1995), Springer: Springer Berlin · Zbl 0847.93040
[6] Freudenberg, J. S.; Middleton, R. H.; Braslavsky, J. H., Inherent design limitations for linear sampled-data feedback systems, International Journal of Control, 61, 6, 1387-1421 (1995) · Zbl 0827.93050
[7] Gohberg, I.; Goldberg, S., Basic operator theory (1980), Birkhäuser: Birkhäuser Boston
[8] Goodwin, G. C.; Salgado, M., Frequency domain sensitivity functions for continuous time systems under sampled data control, Automatica, 30, 8, 1263-1270 (1994) · Zbl 0800.93775
[9] Hagiwara, T.; Araki, M., FR-operator approach to the \(H_2\) analysis and synthesis of sampled-data systems, IEEE Transactions on Automatic Control, 40, 8, 1411-1421 (1995) · Zbl 0837.93037
[10] Hagiwara, T.; Ito, Y.; Araki, M., Computation of the frequency response gains and \(H_∞\)-norm of a sampled-data system, Systems & Control Letters, 25, 4, 281-288 (1995) · Zbl 0877.93072
[11] Hagiwara, T., Suyama, M., & Araki, M. (1998). Upper and lower bounds of the frequency response gain of sampled-data systems. Proceedings of the 37th IEEE Conference on Decision and Control; Hagiwara, T., Suyama, M., & Araki, M. (1998). Upper and lower bounds of the frequency response gain of sampled-data systems. Proceedings of the 37th IEEE Conference on Decision and Control · Zbl 0983.93041
[12] Hara, S., Fujioka, H., Khargonekar, P. P., & Yamamoto, Y. (1995). Computational aspects of gain-frequency response for sampled-data systems. Proceedings of the 34th CDC; Hara, S., Fujioka, H., Khargonekar, P. P., & Yamamoto, Y. (1995). Computational aspects of gain-frequency response for sampled-data systems. Proceedings of the 34th CDC
[13] Hayakawa, Y.; Yamamoto, Y.; Hara, S., \(H_∞\) type problem for sampled-data control systems—A solution via minimum energy characterization, IEEE Transactions on Automatic Control, AC-39, 11, 2278-2284 (1994) · Zbl 0825.93679
[14] Ito, Y., Hagiwara, T., Maeda, H., & Araki, M. (1998). Bisection algorithm for computing the frequency response gain of sampled-data systems: infinite-dimensional congruent transformation approach. Proceedings of the 37th IEEE Conference on Decision and ControlIEEE Transactions on Automatic Control 46; Ito, Y., Hagiwara, T., Maeda, H., & Araki, M. (1998). Bisection algorithm for computing the frequency response gain of sampled-data systems: infinite-dimensional congruent transformation approach. Proceedings of the 37th IEEE Conference on Decision and ControlIEEE Transactions on Automatic Control 46 · Zbl 1364.93440
[15] Toivonen, H. T., Sampled-data control of continuous-time systems with an \(H_∞\) optimality criterion, Automatica, 28, 1, 45-54 (1992) · Zbl 0746.93062
[16] Yamamoto, Y., On the state space and frequency domain characterization of \(H_∞\)-norm of sampled-data systems, Systems & Control Letters, 21, 163-172 (1993) · Zbl 0785.93066
[17] Yamamoto, Y., A function space approach to sampled-data systems and tracking problems, IEEE Transactions on Automatic Control, AC-39, 4, 703-713 (1994) · Zbl 0807.93038
[18] Yamamoto, Y.; Araki, M., Frequency responses for sampled-data systems—Their equivalence and relationships, Linear Algebra and Its Applications, 205-206, 1319-1339 (1994) · Zbl 0802.93048
[19] Yamamoto, Y.; Khargonekar, P. P., Frequency response of sampled-data systems, IEEE Transactions on Automatic Control, AC-41, 2, 166-176 (1996) · Zbl 0842.93050
[20] Yamamoto, Y.; Madievski, A. G.; Anderson, B. D.O., Approximation of frequency response for sampled-data control systems, Automatica, 35, 4, 729-734 (1999) · Zbl 0935.93044
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.