The Experts below are selected from a list of 207 Experts worldwide ranked by ideXlab platform
Dong Jie - One of the best experts on this subject based on the ideXlab platform.
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ICARCV - Robust coordinated control of hot strip mill Multivariable System
2010 11th International Conference on Control Automation Robotics & Vision, 2010Co-Authors: Peng Kai-xiang, Dong JieAbstract:Hot strip mill is a typical process with high accuracy and high speed. The effective approach to enhance the products competitiveness is to improve the quality and quantity by means of advanced control strategy. A Multivariable System comprised of gauge and mass flow of hot strip mill is analyzed in the article. A state-space model about the gauge and mass flow for one stand and inter-stand in a hot strip mill is set up as well. New steady and coordinated control approach on the basis of LQG and H∞ of hot strip mill is proposed and the robust characteristics such as perfect robust stabilization, strong disturbance attenuation and coordination properties are better in the latter. Simulation results show the validity of analysis, design and control.
Kemin Zhou - One of the best experts on this subject based on the ideXlab platform.
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On the robust stability analysis of Multivariable Systems
[1991] Proceedings of the 30th IEEE Conference on Decision and Control, 1Co-Authors: Kemin ZhouAbstract:The authors consider the robust stability of a Multivariable System with both structured real parametric and unstructured norm-bounded uncertainties. It is shown that if the real parametric uncertainty enters only linearly and independently into the numerator matrix and the denominator characteristic polynomial, then the robust stability can be tested exactly. It is also shown that this in fact gives a way to compute a class of mixed real and complex structured values. >
Lennart Ljung - One of the best experts on this subject based on the ideXlab platform.
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subspace based Multivariable System identification from frequency response data
IEEE Transactions on Automatic Control, 1996Co-Authors: Tomas Mckelvey, Huseyin Akcay, Lennart LjungAbstract:Two noniterative subspace-based algorithms which identify linear, time-invariant MIMO (multi-input/multioutput) Systems from frequency response data are presented. The algorithms are related to the recent time-domain subspace identification techniques. The first algorithm uses equidistantly, in frequency, spaced data and is strongly consistent under weak noise assumptions. The second algorithm uses arbitrary frequency spacing and is strongly consistent under more restrictive noise assumptions, promising results are obtained when the algorithms are applied to real frequency data originating from a large flexible structure.
Peng Kai-xiang - One of the best experts on this subject based on the ideXlab platform.
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ICARCV - Robust coordinated control of hot strip mill Multivariable System
2010 11th International Conference on Control Automation Robotics & Vision, 2010Co-Authors: Peng Kai-xiang, Dong JieAbstract:Hot strip mill is a typical process with high accuracy and high speed. The effective approach to enhance the products competitiveness is to improve the quality and quantity by means of advanced control strategy. A Multivariable System comprised of gauge and mass flow of hot strip mill is analyzed in the article. A state-space model about the gauge and mass flow for one stand and inter-stand in a hot strip mill is set up as well. New steady and coordinated control approach on the basis of LQG and H∞ of hot strip mill is proposed and the robust characteristics such as perfect robust stabilization, strong disturbance attenuation and coordination properties are better in the latter. Simulation results show the validity of analysis, design and control.
M B Zaremba - One of the best experts on this subject based on the ideXlab platform.
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iterative learning control synthesis based on 2 d System theory
IEEE Transactions on Automatic Control, 1993Co-Authors: J E Kurek, M B ZarembaAbstract:An algorithm is presented for iterative learning of the control input for a linear discrete-time Multivariable System. Necessary and sufficient conditions are stated for convergence of the proposed algorithm. The algorithm synthesis and analysis are based on two-dimensional (2-D) System theory. A numerical example is given. >
