Zobrazeno 1 - 10
of 1 043
pro vyhledávání: '"Optimal projection equations"'
Publikováno v:
IEEE Control Systems Letters. 7:1670-1675
ispartof: IEEE Control Systems Letters vol:7 pages:1670-1675 status: published
Publikováno v:
Stochastic Control
Suo Zhang1,2 and Hui Zhang1,3 1) State Key Laboratory of Industrial Control Technology, Institute of Industrial Process Control, Department of Control Science and Engineering, Zhejiang University, Hangzhou 310027 2) Department of Electrical Engineeri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::739a3987a2b81d34c954f0bfe4327b52
http://www.intechopen.com/articles/show/title/reduced-order-lqg-controller-design-by-minimizing-information-loss
http://www.intechopen.com/articles/show/title/reduced-order-lqg-controller-design-by-minimizing-information-loss
Publikováno v:
Optimal Control ISBN: 9783030910280
Optimal Control ISBN: 9783319497808
Optimal Control ISBN: 9783319497808
The necessary optimality conditions in the general problem of optimal control are set out in several stages. Initially, for optimal process we construct a parameter family of “close” varied processes. The requirement for admissibility of varied p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2376b86fc006d5f1355dc382e1b6a36
https://doi.org/10.1007/978-3-030-91029-7_12
https://doi.org/10.1007/978-3-030-91029-7_12
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 48:1493-1504
In this paper, control performance assessment (CPA) is studied for batch processes controlled by iterative learning control (ILC). A 2-D linear quadratic Gaussian (LQG) benchmark is proposed to assess the performance of ILC in a 2-D framework. Based
Publikováno v:
Advances in Water Resources. 110:310-318
Management of water resources systems often involves a large number of parameters, as in the case of large, spatially heterogeneous aquifers, and a large number of “noisy” observations, as in the case of pressure observation in wells. Optimizing
Publikováno v:
Liu, X, Sun, Q & Cooper, J 2017, ' LQG based model predictive control for gust load alleviation ', Aerospace Science and Technology, vol. 71, pp. 499-509 . https://doi.org/10.1016/j.ast.2017.10.006
A linear quadratic Gaussian (LQG) based model predictive control (MPC) method is proposed to alleviate the dynamic gust loads of flexible aircrafts flying through turbulence, utilizing look-ahead information of the turbulence via light detection and
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 53:3079-3090
This paper is concerned with linear quadratic Gaussian (LQG) control problem for discrete-time systems with both multiplicative noises and input delay. The main contributions are two-fold. First, when the state variables can be obtained exactly, the
Publikováno v:
Chemical Engineering Science. 174:146-156
Rapid thermal processing (RTP) units are used for various semiconductor fabrication steps mainly due to the short processing time, which results in a low thermal budget and improved product quality. In this study, we propose a comprehensive control s
Autor:
Tadashi Ishihara, L. A. Zheng
Publikováno v:
International Journal of Control. 92:461-475
This paper discusses a linear-quadratic-Gaussian/loop transfer recovery (LQG/LTR) procedure using reduced-order Kalman filters by extending known exact-recovery result. The state-space realisation commonly used for reduced-order observer design is em
Autor:
Shaunak D. Bopardikar, Fu Lin
Publikováno v:
IFAC-PapersOnLine. 50:10748-10753
We consider the sparsity-promoting Linear Quadratic Gaussian (LQG) control for a network of linear systems. A sparse LQG controller requires fewer communication channels with the networked system. The bidirectional communication implies that the colu