A5051134447- Stability and Control of Uncertain Systems
- Control Systems and Identification
- Aerospace Engineering and Control Systems
- Elasticity and Wave Propagation
- Distributed Sensor Networks and Detection Algorithms
- Stability and Controllability of Differential Equations
- Target Tracking and Data Fusion in Sensor Networks
- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Mathematical Control Systems and Analysis
- Distributed Control Multi-Agent Systems
- Adaptive Control of Nonlinear Systems
- Mathematical Analysis and Transform Methods
- Advanced Control and Stabilization in Aerospace Systems
- Image and Signal Denoising Methods
- Advanced Wireless Network Optimization
- Advanced Computational Techniques in Science and Engineering
- Cybersecurity and Information Systems
- Real-time simulation and control systems
- IPv6, Mobility, Handover, Networks, Security
- Advanced Differential Equations and Dynamical Systems
- Matrix Theory and Algorithms
- Optical measurement and interference techniques
- Control and Dynamics of Mobile Robots
- Material Properties and Failure Mechanisms
V. A. Trapeznikov Institute of Control Sciences
2014-2023
Bauman Moscow State Technical University
2019-2023
Coventry University
2019
Russian Academy of Sciences
2013-2015
National Research Tomsk State University
2005
Tomsk Polytechnic University
2005
We propose an EASY (Electroluminescent ApparatuS of high Yield) and SOFT (Separated Optimized FuncTion) time-projection chamber for the NEXT experiment, that will search neutrinoless double beta decay (bb0nu) in Xe-136. Our experiment must be competitive with new generation bb0nu searches already operation or construction. This requires a detector very good energy resolution (<1%), low background con- tamination (1E-4 counts/(keV \bullet kg y)) large target mass. In addition, it needs to...
In this paper, the advanced analysis of linear discrete time varying multiplicative noise system in terms anisotropy-based theory is considered. Accurate formulae for anisotropic norm such with mutually independent noises and additive input disturbances are given. There two types bounded real lemmas were derived, first one backward-time difference Riccati equations, another inequalities.
In this paper, the problem of computation anisotropic norm linear discrete time varying finite horizon stochastic system in state-space terms is solved. The relationship with similar deterministic setting given. contrary to case, obtained formulas consist one more matrix equation because decomposition random matrices a into two parts associated first moments.
In this paper, an estimation problem for the sensor networks is studied in frameworks of anisotropy-based theory. The considered system described by linear discrete time-varying model with several sensors on finite horizon. Each operates its own measurements and given from some others. Any could fail random time instant. external disturbance assumed to be coloured sequence bounded anisotropy. dynamics combined error extended state governed multiplicative noise system. Anisotropic norm...
In the created in 90th anisotropy-based control theory, sequence of Gaussian random vectors with zero mean and certain anisotropy level was accepted as input perturbations acting on a linear system. this paper, author considers concept nonzero anisotropic norm system given input. The problems analysis frequency domain state-space representation are considered. difference between classical formulas for computing new is shown. problem controller design researched.
This paper is concerned with a γ-optimal control for linear discrete time varying systems on bounded intervals driven by statistically uncertain random disturbances nonzero mean values. The uncertainty described in information theoretic terms using previously introduced anisotropy functional. It shown that, under additional constraints the value and covariance matrix of input disturbance, anisotropy-based controller design problem can be reduced to multiobjective problem. In comparison...
The paper presents a novel concept of the anisotropy-based analysis for stochastic sequences with nonzero mean. formulas anisotropy random vector and mean sequence are obtained. Basic types shaping filter connections presented.
This paper is an attempt to present the methodologically correct approach of anisotropy-based theory for discrete-time systems with multiplicative noise. A formulation sufficient conditions boundedness anisotropic norm main goal this paper. As it shown, problem can be reduced convex optimization problem. simple numerical example illustrate solution procedure given.
In this work, the mathematical model of quadcopter is given in both nonlinear and linearized forms open-loop control constructed based on set point for a linear quadcopter, as well coefficients PID controllers carried out. A numerical simulation has been performed Matlab/Simulink environment. This work considers fairly stable easy-to-implement law quadrocopter, which can be applied various social spheres.
The paper presents a novel concept of anisotropy-based analysis for descriptor systems with nonzero-mean random input signals. algorithm mean anisotropy computation the Gaussian stationary sequence nonzero is obtained. equations norm (in frequency domain) are developed. Numerical examples given.
In this paper, the anisotropy-based filtering problem is studied for a class of linear discrete time varying finite horizon systems with measurement data packet dropout. The dropout phenomenon considered to be random, and modeled as binary switching sequence independent identically distributed scalar random variables. estimator designed satisfy upper bound constraint on anisotropic norm chosen quantitatively describe performance index input-to-error system over horizon. Given measurements...
In this paper, a problem of adjacency matrix tuning in sensor networks is considered. The object estimating linear discrete time-varying system with several measured outputs. Each measurement may be dropout given probability. external disturbance belongs to class zero mean disturbances positive anisotropy level extended vector. goal modify initial respect fixed estimation model ensure minimum value anisotropic norm for input-to-error system. Contrary standard $\mathscr{H}_{2}$ and...
In this paper, the estimation problem for sensors network in anisotropy-based theory is considered. The non-centered external disturbance belongs to sequence of random vectors with bounded anisotropy extended vector. Sensors are assumed be non-ideal given probability correct operation. communication scheme networks described by directed graph. performance criterion considered as anisotropic norm input-to-estimation error combined system. reduced convex optimisation problem.
In this paper, the anisotropy-based/ℋ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> suboptimal filtering problem for linear discrete time-invariant (LDTI) system with nonzero-mean stochastic input is considered. The original reduced to optimization convex restrictions. solution based on sufficient condition boundedness of anisotropic norm.
In this paper, the anisotropic norm boundedness sufficient conditions of system with multiplicative noise in input-to-state matrix are presented. It is shown that these can be described by inequality for norms auxiliary systems. The main result written form linear inequalities and additional algebraic inequalities.