53 citations · 96 across the 14 of their papers we have counts for
15 papers
Global network control from local information
Aleksandar Haber, Ferenc Molnar, Adilson E. Motter
In the classical control of network systems, the control actions on a node are determined as a function of the states of all nodes in the network. Motivated by applications where t…
State-Robust Observability Measures for Sensor Selection in Nonlinear Dynamic Systems
Mohamad H. Kazma, Sebastian A. Nugroho, Aleksandar Haber +1
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…
Data-driven Estimation, Tracking, and System Identification of Deterministic and Stochastic Optical Spot Dynamics
Aleksandar Haber, Michael Krainak
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…
Subspace identification of low-dimensional Structural-Thermal-Optical-Performance (STOP) models of reflective optics
Aleksandar Haber, John E. Draganov, Michael Krainak
In this paper, we investigate the feasibility of using subspace system identification techniques for estimating transient Structural-Thermal-Optical Performance (STOP) models of re…
A novel method for adaptive control of deformable mirrors
Aleksandar Haber
For sufficiently wide ranges of applied control signals (control voltages), MEMS and piezoelectric Deformable Mirrors (DMs), exhibit nonlinear behavior. The nonlinear behavior mani…
Dual-Update Data-Driven Control of Deformable Mirrors Using Walsh Basis Functions
Aleksandar Haber, Thomas Bifano
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…
Control Node Selection Algorithm for Nonlinear Dynamic Networks
Aleksandar Haber, Sebastian A. Nugroho, Patricio Torres +1
The coupled problems of selecting control nodes and designing control actions for nonlinear network dynamics are fundamental scientific problems with applications in many diverse f…
Joint Sensor Node Selection and State Estimation for Nonlinear Networks and Systems
Aleksandar Haber
State estimation and sensor selection problems for nonlinear networks and systems are ubiquitous problems that are important for the control, monitoring, analysis, and prediction o…
Steady-State Control and Machine Learning of Large-Scale Deformable Mirror Models
Aleksandar Haber
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)…
Subspace Identification of Temperature Dynamics
Aleksandar Haber
Data-driven modeling and control of temperature dynamics in mechatronics systems and industrial processes are challenging control engineering problems. This is mainly because the t…
Sparsity Preserving Optimal Control of Discretized PDE Systems
Aleksandar Haber, Michel Verhaegen
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 Fin…
State observation and sensor selection for nonlinear networks
Aleksandar Haber, Ferenc Molnar, Adilson E. Motter
A large variety of dynamical systems, such as chemical and biomolecular systems, can be seen as networks of nonlinear entities. Prediction, control, and identification of such nonl…
Sparse solution of the Lyapunov equation for large-scale interconnected systems
Aleksandar Haber, Michel Verhaegen
We consider the problem of computing an approximate banded solution of the continuous-time Lyapunov equation $\underline{A}\underline{X}+\underline{X}\underline{A}^{T}=\underline{P…
Sparse approximate inverses of Gramians and impulse response matrices of large-scale interconnected systems
Aleksandar Haber, Michel Verhaegen
In this paper we show that inverses of well-conditioned, finite-time Gramians and impulse response matrices of large-scale interconnected systems described by sparse state-space mo…
Subspace identification of large-scale interconnected systems
Aleksandar Haber, Michel Verhaegen
We propose a decentralized subspace algorithm for identification of large-scale, interconnected systems that are described by sparse (multi) banded state-space matrices. First, we…