论文信息 - Assessment of robust stability from experimental data

Assessment of robust stability from experimental data

Many robust control design methods are based on an unconstrained optimization. The design consists of selecting a weighting function and assessing the achieved robustness. In this paper we develop a scheme that employs experimental data for the assesment of robust stability. This scheme can be applied irrespective of the utilized control design method.

Ruud J.P. Schrama | Peter M.M. Bongers | Douwe K. de Vries

[1] M. Vidyasagar,et al. Algebraic and topological aspects of feedback stabilization , 1980 .

[2] H. Kwakernaak. Minimax frequency domain performance and robustness optimization of linear feedback systems , 1985 .

[3] Ruud J.P. Schrama,et al. An iterative scheme for identification and control design based on coprime factorizations , 1992, 1992 American Control Conference.

[4] John Doyle,et al. Design examples using µ-synthesis: Space shuttle lateral axis FCS during reentry , 1986, 1986 25th IEEE Conference on Decision and Control.

[5] Peter M. M. Bongers. A new robust stability margin , 1993, Kybernetika.

[6] Carl N. Nett,et al. Control oriented system identification: a worst-case/deterministic approach in H/sub infinity / , 1991 .

[7] C. Desoer,et al. Feedback Systems: Input-Output Properties , 1975 .

[8] C. Desoer,et al. Feedback system design: The fractional representation approach to analysis and synthesis , 1979, 1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[9] K. Glover,et al. Robust stabilization of normalized coprime factor plant descriptions with H/sub infinity /-bounded uncertainty , 1989 .

[10] Douwe K. de Vries,et al. Quantification of model uncertainty from data: input design, interpolation, and connection with robust control design specifications , 1992, 1992 American Control Conference.