Dr. Mikhail V. Konnik Profile

Dr. Mikhail V. Konnik

Research Associate at Univ of Newcastle

SPIE Involvement:

Author

Area of Expertise:

adaptive optics , optimal control

Websites:

Personal Website

Publications (11)

Proceedings Article | 21 July 2014 Paper

Preliminary evaluation and comparison of atmospheric turbulence rejection performance for infinite and receding horizon control in adaptive optics systems

Mikhail Konnik, Jose De Dona

Proceedings Volume 9148, 91484C (2014) https://doi.org/10.1117/12.2055370

KEYWORDS: Actuators, Atmospheric turbulence, Condition numbers, Adaptive optics, Deformable mirrors, Control systems, Turbulence, Matrices, Atmospheric modeling, Numerical simulations

Read Abstract +

Model-based optimal control such as Linear Quadratic Gaussian (LQG) control has been attracting considerable attention for adaptive optics systems. The ability of LQG to handle the complex dynamics of deformable mirrors and its relatively simple implementation makes LQG attractive for large adaptive optics systems. However, LQG has its own share of drawbacks, such as suboptimal handling of constraints on actuators movements and possible numerical problems in case of fast sampling rate discretization of the corresponding matrices. Unlike LQG, the Receding Horizon Control (RHC) technique provides control signals for a deformable mirror that are optimal within the prescribed constraints. This is achieved by reformulating the control problem as an online optimization problem that is solved at each sampling instance. In the unconstrained case, RHC produces the same control signals as LQG. However, when the control signals reach the constraints of actuator’s allowable movement in a deformable mirror, RHC finds the control signals that are optimal within those constraints, rather than just clipping the unconstrained optimum as commonly done in LQG control. The article discusses the consequences of high-gain LQG control operation in the case when the constraints on the actuator’s movement are reached. It is shown that clipping / saturating the control signals is not only suboptimal, but may be hazardous for the surface of a deformable mirror. The results of numerical simulations indicate that high-gain LQG control can lead to abrupt changes and spikes in the control signal when saturation occurs. The article further discusses a possible link between high-gain LQG and the waffle mode in the closed-loop operation of astronomical adaptive optics systems. Performance evaluation of Receding Horizon Control in terms of atmospheric disturbance rejection and a comparison with Linear Quadratic Gaussian control are performed. The results of the numerical simulations suggest that the disturbance rejection performance in the unconstrained case is the same for LQG and RHC, while RHC clearly outperforms the saturated LQG control in terms of atmospheric turbulence rejection. More importantly, RHC can be used in high-gain mode, unlike LQG, providing better atmospheric disturbance rejection in the constrained case.

Proceedings Article | 24 September 2012 Paper

Open-source framework for documentation of scientific software written on MATLAB-compatible programming languages

Mikhail Konnik, James Welsh

Proceedings Volume 8451, 84512N (2012) https://doi.org/10.1117/12.924952

KEYWORDS: MATLAB, Latex, Optical simulations, Adaptive optics, Software development, Control systems, Computer programming, Virtual colonoscopy, Computer programming languages, Computer simulations

Read Abstract +

Proceedings Article | 13 September 2012 Paper

On application of constrained receding horizon control in astronomical adaptive optics

Mikhail Konnik, José De Doná, James Stuart Welsh

Proceedings Volume 8447, 844732 (2012) https://doi.org/10.1117/12.924955

KEYWORDS: Actuators, Matrices, Deformable mirrors, Adaptive optics, Turbulence, Astronomical adaptive optics, Control systems, Numerical simulations, MATLAB, Signal attenuation

Read Abstract +

Proceedings Article | 23 April 2012 Paper

Hybrid optical-digital encryption system based on wavefront coding paradigm

Mikhail Konnik

Proceedings Volume 8398, 83980P (2012) https://doi.org/10.1117/12.918738

KEYWORDS: Diffractive optical elements, Point spread functions, Cameras, Deconvolution, Convolution, Hybrid optics, Visualization, Image registration, Wavefronts, Image quality

Read Abstract +

Proceedings Article | 23 April 2012 Paper

Using wavefront coding technique as an optical encryption system: reliability analysis and vulnerabilities assessment

Mikhail Konnik

Proceedings Volume 8398, 83980R (2012) https://doi.org/10.1117/12.918739

KEYWORDS: Point spread functions, Image encryption, Diffractive optical elements, Computer programming, Reliability, Digital imaging, Image quality, Wavefronts, Image processing, Image compression

Read Abstract +

Proceedings Article | 16 September 2011 Paper

Influence of photosensor noise on accuracy of cost-effective Shack-Hartmann wavefront sensors

Mikhail Konnik, James Stuart Welsh

Proceedings Volume 8149, 81490G (2011) https://doi.org/10.1117/12.892669

KEYWORDS: Wavefront sensors, Interference (communication), Quantization, Sensors, Error analysis, Adaptive optics, Numerical simulations, Mathematical modeling, CMOS sensors, Atmospheric modeling

Read Abstract +

Proceedings Article | 16 September 2011 Paper

On numerical simulation of high-speed CCD/CMOS-based wavefront sensors in adaptive optics

Mikhail Konnik, James Stuart Welsh

Proceedings Volume 8149, 81490F (2011) https://doi.org/10.1117/12.892667

KEYWORDS: Interference (communication), Wavefront sensors, Signal to noise ratio, Sensors, Charge-coupled devices, CMOS sensors, Adaptive optics, CCD image sensors, Numerical simulations, Electrons

Read Abstract +

Proceedings Article | 13 April 2009 Paper

Linear methods for input scenes restoration from signals of optical-digital pattern recognition correlator

Sergey Starikov, Mikhail Konnik, Edward Manykin, Vladislav Rodin

Proceedings Volume 7340, 73400B (2009) https://doi.org/10.1117/12.818458

KEYWORDS: Electronic filtering, Deconvolution, Image filtering, Optical correlators, Image restoration, Cameras, Optical filters, Filtering (signal processing), Point spread functions, Signal to noise ratio

Read Abstract +

Proceedings Article | 19 January 2009 Paper

Using spatially varying pixels exposure technique for increasing accuracy of the optical-digital pattern recognition correlator

Mikhail Konnik, Sergey Starikov

Proceedings Volume 7252, 72520V (2009) https://doi.org/10.1117/12.805837

KEYWORDS: High dynamic range imaging, Optical correlators, Optical filters, Cameras, Sensors, Digital cameras, Calibration, Transmittance, Computer generated holography, Image registration

Read Abstract +

Proceedings Article | 17 March 2008 Paper

Using commercial photo camera’s RAW-based images in optical-digital correlator for pattern recognition

Sergey Starikov, Mikhail Konnik

Proceedings Volume 6977, 69770R (2008) https://doi.org/10.1117/12.777615

KEYWORDS: Cameras, Optical correlators, Image processing, Sensors, Computer generated holography, Signal processing, Point spread functions, Numerical simulations, Optical pattern recognition, Imaging systems

Read Abstract +

Proceedings Article | 9 April 2007 Paper

Input scene restoration in pattern recognition correlator based on digital photo camera

Sergey Starikov, Nikita Balan, Mikhail Konnik, Vladislav Rodin, Ivan Solyakin, Ekaterina Shapkarina

Proceedings Volume 6574, 65740J (2007) https://doi.org/10.1117/12.720222

KEYWORDS: Cameras, Optical correlators, Digital cameras, Computer generated holography, Point spread functions, Digital photography, Image restoration, Optical filters, Image filtering, Digital imaging

Read Abstract +

Showing 5 of 11 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years