Zobrazeno 1 - 10
of 224
pro vyhledávání: '"Jan M. Maciejowski"'
Publikováno v:
IEEE Systems Journal. 14:2801-2812
In power system state estimation, the robust Least Absolute Value robust dynamic estimator is well-known. However, the covariance of the state estimation error cannot be obtained easily. In this paper, an analytical equation is derived using Influenc
Autor:
Jan M. Maciejowski, Robert Rowthorn
Publikováno v:
Oxford Review of Economic Policy
The British government has been debating how to escape from the lockdown without provoking a resurgence of the COVID-19 disease. There is a growing recognition of the damage the lockdown has caused to economic and social life. This paper presents a s
Publikováno v:
Electric Power Systems Research. 165:134-143
This study proposes a new trust-region based sequential linear programming algorithm to solve the AC optimal power flow (OPF) problem. The OPF problem is solved by linearizing the cost function, power balance and engineering constraints of the system
Experiments with hybrid Bernstein global optimization algorithm for the OPF problem in power systems
Autor:
Keck Voon Ling, Ashok Krishnan, Hoay Beng Gooi, Bhagyesh V. Patil, Jan M. Maciejowski, L. P. M. I. Sampath
Publikováno v:
Engineering Optimization. 51:1446-1461
This article presents an algorithm based on the Bernstein form of polynomials for solving the optimal power flow (OPF) problem in electrical power networks. The proposed algorithm combines local an...
Techniques known as Nonlinear Set Membership prediction or Lipschitz Interpolation are approaches to supervised machine learning that utilise presupposed Lipschitz properties to perform inference over unobserved function values. Provided a bound on t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::689983e1ce6df7df0c8eefcaeb319e47
Autor:
Liang Lu, Jan M. Maciejowski
Publikováno v:
CDC
This paper presents a robust self-triggered MPC controller design strategy for constrained linear systems with persistent bounded additive disturbance. Based on the so-called relaxed dynamic programming inequality and tube-MPC ideas, at a triggering
Publikováno v:
International Journal of Electrical Power and Energy Systems
International Journal of Electrical Power and Energy Systems, Elsevier, 2019, 113, pp.9-22
HAL
International Journal of Electrical Power and Energy Systems, Elsevier, 2019, 113, pp.9-22
HAL
This paper presents an optimal management (OM) strategy for distributed generation (DG) planning studies. The objective is the reduction of the CO2 emissions for the power generation on Jurong Island in Singapore. Different DG resources are investiga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d7259dfe3e26acb32ad30d9dc00bfde
https://hal.archives-ouvertes.fr/hal-03016675/document
https://hal.archives-ouvertes.fr/hal-03016675/document
Autor:
Liang Lu, Jan M. Maciejowski
This paper presents a self-triggered MPC controller design strategy for linear systems with state and input constraints. Based on the so-called relaxed dynamic programming inequality, the synthesis procedure determines both the updated MPC control ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a0dc13dd5bfc19f5238199e54b79ed7
Publikováno v:
Automatica. 132:109789
In this paper, a recursive t -distribution noise model based maximum likelihood estimation algorithm for discrete-time dynamic state estimation is proposed. The proposed estimator is robust to outliers because the “thick tail” of the t -distribut
Publikováno v:
IFAC-PapersOnLine. 50:7769-7776