Titlebook: Analysis and Optimization of Systems; Proceedings of the F A. Bensoussan,J. L. Lions Conference proceedings 1980 Springer-Verlag Berlin Hei

CYN

Robust multivariable PI-controller for distributed parameter systems,A Robust multivariable PI-controller for distributed parameter systems is introduced. The presented theory generalizes Davisons finite-dimensional robust control theory to infinite-dimensional systems..Necessary and sufficient conditions for the existence of the robust controller are given, giving the I-part of the controller.

conceal

Vikas Kumar,Jafar Rezaei,Evgeny Kuzminsentative set of test Markov Sequences..Much attention is devoted in deriving practical guidelines for the amount of noise that can be tolerated. The effects of multiplicity of a pole, and proximity to other poles in the z-plane were evaluated. The results are illustrated with some examples.

BILL

Mike Friedrichsen,Yahya Kamalipourrrespective of the number of time delays k between the input and output of the system. To our knowledge, all previously obtained results require the use of k -the number of delays-interlaced adaptation algorithms.

羽毛長成

Comparison of multivariable MBH realization algorithms in the presence of multiple poles, and noisesentative set of test Markov Sequences..Much attention is devoted in deriving practical guidelines for the amount of noise that can be tolerated. The effects of multiplicity of a pole, and proximity to other poles in the z-plane were evaluated. The results are illustrated with some examples.

FUME

鞏固

Gao Jixiang,Anna Urasova,Evgeniy Shcheglov sufficient condition is given to insure that the system can only cross this set but cannot belong it more than ponctually. Optimality of the control is discussed, and the proposed approach is shown to be an improvement of Mulholland‘s one.

拱形大橋

Gao Jixiang,Anna Urasova,Evgeniy Shcheglovte polynomial matrices..The approach presents the further advantage that it yields, without additional computation, the feedback transformation (if it exists) which performs the localization of the disturbance.

Limousine

Mike Friedrichsen,Yahya Kamalipouressive corrections to adaptive system parameters are only correct in an . sense, and (2) recursive least-squares methods, which continuously provide the solution to a numerical optimization problem, given all the preceding data. The available techniques span a wide spectrum of possible performance/complexity tradeoffs.

能夠支付

A polynomial matrix solution of the disturbance localization problem,te polynomial matrices..The approach presents the further advantage that it yields, without additional computation, the feedback transformation (if it exists) which performs the localization of the disturbance.

Restenosis