Title :
A state-space algorithm for the simultaneous optimisation of performance weights and controllers in μ-synthesis
Author :
Lanzon, Alexander ; Cantoni, Michael
Author_Institution :
Dept. of Eng., Cambridge Univ., UK
Abstract :
A conceptually new approach to the μ-synthesis robust performance problem is proposed. Performance weights, maximised with respect to a suitable cost function that captures the desired closed-loop performance, are synthesised simultaneously with an internally stabilising controller to immediately achieve robust performance. The designer is only required to specify the plant set and an optimisation directionality. This directionality only appears in the cost function and reflects the desired closed-loop properties in particular frequency regions. Correspondingly, this approach greatly simplifies the often long and tedious process of designing “good” performance weights directly
Keywords :
H∞ control; closed loop systems; control system synthesis; iterative methods; linear systems; optimisation; robust control; state-space methods; uncertain systems; H∞ control; closed-loop systems; iterative method; linear time invariant systems; mu-synthesis; optimisation; performance weight synthesis; robust control; state space method; Artificial intelligence; Constraint optimization; Cost function; Frequency; Matrix decomposition; Robust control; Robustness; Transfer functions; Uncertainty; Weight control;
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6638-7
DOI :
10.1109/CDC.2000.912833