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Novikov D.A.,Institute of Control Science
Advances in Intelligent Systems and Computing

Historical and modern approaches towards heterogeneous models and hierarchical modeling in control theory are listed. A unified approach towards a design of hierarchical models of multiagent systems is described and illustrated by the example of diffuse bomb model. Problems of “hierarchical automation” in organization-technical and production systems are described. General problems of hierarchical modeling are underlined. © Springer International Publishing Switzerland 2016. Source

Demenkov M.,Institute of Control Science
Proceedings of 1st International Conference on Event-Based Control, Communication and Signal Processing, EBCCSP 2015

A hot topic of research in the model predictive control community is the real-Time implementation of MPC controllers for 'fast' systems (e.g. in automotive and aerospace applications). The controller needs to optimize a control sequence on-line while maintaining strict constraints on the time of computations. In this work-in-progress paper we discuss the possibility of asynchronous MPC computations while maintaining the stability of the closed-loop system. In case the computations cannot be performed within the available time slot and this can affect the stability of the closed-loop system, a second controller is activated, which is based on the explicitly constructed MPC cost function. In the case of continuous linear plant dynamics and polyhedral cost, this approach leads to the easily implementable relay-Type control. © 2015 IEEE. Source

Kochetkov S.A.,Institute of Control Science
IFAC Proceedings Volumes (IFAC-PapersOnline)

The problem of the parameters identification is considered for the linear time varying systems presented in a canonical block form. The main algorithm is based on sliding mode observers or observers with high-gain coefficients. The asymptotic convergence of parameters estimations is proved under assumption that the non-stationary parameters are changed according to some known dynamical models. The simulation results show the efficiency of the proposed algorithm. © IFAC. Source

Demenkov M.,Institute of Control Science
54th Israel Annual Conference on Aerospace Sciences 2014

An active flutter suppression using saturated control is investigated for a 2d of wing section with nonlinear torsional stiffness and saturated control effectors. The suppression of oscillations in the nonlinear closed-loop system is achieved through maximization of the region of attraction for the linearized input-constrained system. For this, we approximate maximum possible region of attraction by a polyhedron and associate with it a level set of the polyhedral Lyapunov function and a corresponding relay control law. Finally, we derive linear saturated control law, which is a relaxation of the relay one. Applying the control to the original nonlinear system, we confirm the local disappearance of oscillations using numerical bifurcation analysis. Source

Chervonenkis A.Y.,Institute of Control Science
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

The problem of reconstructing dependencies from empirical data became very important in a very large range of applications. Procedures used to solve this problem are known as "Methods of Machine Learning" [1,3]. These procedures include methods of regression reconstruction, inverse problems of mathematical physics and statistics, machine learning in pattern recognition (for visual and abstract patterns represented by sets of features) and many others. Many web network control problems also belong to this field. The task is to reconstruct the dependency between input and output data as precisely as possible using empirical data obtained from experiments or statistical observations. © 2011 Springer-Verlag Berlin Heidelberg. Source

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