Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Haber, Aleksandar"'
This paper explores the problem of selecting sensor nodes for a general class of nonlinear dynamical networks. In particular, we study the problem by utilizing altered definitions of observability and open-loop lifted observers. The approach is perfo
Externí odkaz:
http://arxiv.org/abs/2307.07074
Autor:
Haber, Aleksandar, Krainak, Michael
Stabilization, disturbance rejection, and control of optical beams and optical spots are ubiquitous problems that are crucial for the development of optical systems for ground and space telescopes, free-space optical communication terminals, precise
Externí odkaz:
http://arxiv.org/abs/2301.12380
In this paper, we investigate the feasibility of using subspace system identification techniques for estimating transient Structural-Thermal-Optical Performance (STOP) models of reflective optics. As a test case, we use a Newtonian telescope structur
Externí odkaz:
http://arxiv.org/abs/2208.02333
Autor:
Haber, Aleksandar
For sufficiently wide ranges of applied control signals (control voltages), MEMS and piezoelectric Deformable Mirrors (DMs), exhibit nonlinear behavior. The nonlinear behavior manifests itself in nonlinear actuator couplings, nonlinear actuator defor
Externí odkaz:
http://arxiv.org/abs/2203.04915
Autor:
Haber, Aleksandar, Bifano, Thomas
In this paper, we develop a novel data-driven method for Deformable Mirror (DM) control. The developed method updates both the DM model and DM control actions that produce desired mirror surface shapes. The novel method explicitly takes into account
Externí odkaz:
http://arxiv.org/abs/2111.03275
The coupled problems of selecting control nodes and designing control actions for nonlinear network dynamics are fundamental scientific problems with applications in many diverse fields. These problems are thoroughly studied for linear dynamics; howe
Externí odkaz:
http://arxiv.org/abs/2008.07640
Autor:
Haber, Aleksandar
State estimation and sensor selection problems for nonlinear networks and systems are ubiquitous problems that are important for the control, monitoring, analysis, and prediction of a large number of engineered and physical systems. Sensor selection
Externí odkaz:
http://arxiv.org/abs/2006.04342
Autor:
Haber, Aleksandar
We use Machine Learning (ML) and system identification validation approaches to estimate neural network models of large-scale Deformable Mirrors (DMs) used in Adaptive Optics (AO) systems. To obtain the training, validation, and test data sets, we si
Externí odkaz:
http://arxiv.org/abs/1911.07456
Autor:
Haber, Aleksandar
Data-driven modeling and control of temperature dynamics in mechatronics systems and industrial processes are challenging control engineering problems. This is mainly because the temperature dynamics is inherently infinite-dimensional, nonlinear, spa
Externí odkaz:
http://arxiv.org/abs/1908.02379
Autor:
Haber, Aleksandar, Verhaegen, Michel
Publikováno v:
Computer Methods in Applied Mechanics and Engineering, 335 (2018), 610-630
We focus on the problem of optimal control of large-scale systems whose models are obtained by discretization of partial differential equations using the Finite Element (FE) or Finite Difference (FD) methods. The motivation for studying this pressing
Externí odkaz:
http://arxiv.org/abs/1801.05194