Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Simon Michalowsky"'
Publikováno v:
IFAC-PapersOnLine. 50:15343-15348
This work addresses the problem of solving distributed optimization problems over directed graphs. Using techniques from geometric control theory, a novel methodology is proposed to design continuous-time distributed algorithms that approximate the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95903080a03ea722dc96417d249555f6
https://doi.org/10.1016/j.ifacol.2017.08.2456
https://doi.org/10.1016/j.ifacol.2017.08.2456
Publikováno v:
ECC
We investigate the problem of optimal enzyme levels for the bio-production of chemicals. While increased enzyme levels lead to higher turnover rates, the costs of enzyme production and the consequential redistribution of fluxes of the overall metabol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44c8c7d62305556ecbe4d16d603c669d
https://doi.org/10.23919/ecc.2019.8795636
https://doi.org/10.23919/ecc.2019.8795636
Autor:
Simon Michalowsky
Optimization algorithms are the backbone of many modern technologies. In this thesis, we address the analysis and design of optimization algorithms from a systems theoretic viewpoint. By properly recasting the algorithm design as a controller synthes
Publikováno v:
Automatica. 112:108691
We consider a group of computation units trying to cooperatively solve a distributed optimization problem with shared linear equality and inequality constraints. Assuming that the computation units are communicating over a network whose topology is d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24cf7533919b1faffe44fdd4629e7288
https://doi.org/10.1016/j.automatica.2019.108691
https://doi.org/10.1016/j.automatica.2019.108691
Publikováno v:
CDC
We consider perturbation-based extremum seeking, which recovers an approximate gradient of an analytically unknown objective function through measurements. Using classical needle variation analysis, we are able to explicitly quantify the recovered gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5957848f79a3b0c429a7c98d384068d
https://doi.org/10.1109/cdc.2018.8619442
https://doi.org/10.1109/cdc.2018.8619442
Publikováno v:
ECC
In this paper, we propose and practically evaluate a class of gradient-free control functions ensuring the motion of a unicycle-type system towards the extremum point of a time-varying cost function. We prove that the unicycle is able to track the ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a09906cf8f719b6bc0817aa8a1f9861d
https://doi.org/10.23919/ecc.2018.8550280
https://doi.org/10.23919/ecc.2018.8550280
Publikováno v:
CDC
We consider the problem of steering the state of a group of agents with integrator dynamics to the solution of an optimization problem in the form of a sum of strictly convex separable functions, each available to an individual agent, with shared lin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3008ad38d2b2f5af0e727fdf2b7a6e54
https://doi.org/10.1109/cdc.2017.8263956
https://doi.org/10.1109/cdc.2017.8263956
Publikováno v:
auto. 61:567-582
Summary This paper considers a class of nonlinear output regulation problems for the rotational rigid body equations. The equations of motion for the rigid body are written in the natural SO(3) representation. The presented design consists of an obse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0f097bc3b05e8fa1860f3d490cc1926
https://doi.org/10.1524/auto.2013.1013
https://doi.org/10.1524/auto.2013.1013
Autor:
Simon Michalowsky, Christian Ebenbauer
Publikováno v:
CDC
In this paper we consider the problem of steering a linear system to an unknown setpoint that is defined as the minimizer of an optimization problem. We give a gradient-based solution as well as a gradient-free approximation that, in the spirit of ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6227d064c73f39b463effbb47c521cd8
https://doi.org/10.1109/cdc.2016.7798711
https://doi.org/10.1109/cdc.2016.7798711
Autor:
Simon Michalowsky, Christian Ebenbauer
Publikováno v:
ACC
We consider a gradient approximation scheme that is based on applying needle shaped inputs. By using ideas known from the classic proof of the Pontryagin Maximum Principle we derive an approximation that reveals that the considered system moves along
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::400b7242530e621ee9efdea5ed7cddd1