Title :
Combining L1 and L2 methods in the robust stability and performance analysis of nonlinear systems
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
Abstract :
In this paper, possible benefits of combining the two frameworks in the robust control are discussed. In particular, it is shown that the well-known absolute stability criterion by Zames-Falb (1968) for systems with monotonic nonlinearities (in particular, for systems with saturation) can be improved by using the magnitude bounds derived from the “L1” theory. In conjunction with this result, a lower bound of the Zames-Falb stability margin is derived, by using a duality approach. In the second part of the paper, it is shown how the analysis of the worst case output error magnitude of nonlinear uncertain systems (robust performance in the “L1” setting) can be improved by using the known absolute stability (“L2”) techniques
Keywords :
absolute stability; asymptotic stability; control system analysis; feedback; nonlinear systems; optimal control; robust control; uncertain systems; L1 methods; L2 methods; absolute stability; asymptotic stability; feedback; lower bound; nonlinear systems; performance analysis; robust control; saturated control; uncertain systems; worst case output error; Constraint theory; Nonlinear systems; Performance analysis; Robust control; Robust stability; Signal analysis; Stability analysis; Stability criteria; Time series analysis; Uncertain systems;
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-2685-7
DOI :
10.1109/CDC.1995.478636