complex control
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Author(s):  
Alberto Maria Metelli

AbstractReinforcement Learning (RL) has emerged as an effective approach to address a variety of complex control tasks. In a typical RL problem, an agent interacts with the environment by perceiving observations and performing actions, with the ultimate goal of maximizing the cumulative reward. In the traditional formulation, the environment is assumed to be a fixed entity that cannot be externally controlled. However, there exist several real-world scenarios in which the environment offers the opportunity to configure some of its parameters, with diverse effects on the agent’s learning process. In this contribution, we provide an overview of the main aspects of environment configurability. We start by introducing the formalism of the Configurable Markov Decision Processes (Conf-MDPs) and we illustrate the solutions concepts. Then, we revise the algorithms for solving the learning problem in Conf-MDPs. Finally, we present two applications of Conf-MDPs: policy space identification and control frequency adaptation.


2021 ◽  
Author(s):  
Plamena Nedyalkova ◽  

During the control proceedings, which are carried out by various control institutions in the executive branch, it is essential to preserve the personal data of the inspected individuals and legal entities. The main scope of this report is to present a significant part of the problems that arise in complex control proceedings involving several control institutions. These complex control procedures often require the transfer of information from one control institution to another control institution, which accordingly raises problems regarding the storage and protection of personal data of the inspected objects.


Author(s):  
V. A. Alekseev ◽  
S. P. Kolosov ◽  
M. E. Seleznev

The paper considers the process of automating calibration steklomramor for medical and veterinary industry, with the introduction of the functions of vision and of methods of intellectualization of process technology for control of electrical drives for transportation and the management of mechanical parts, with the purpose of increase of efficiency of functioning of the complex.


Author(s):  
A. A. Gurskiy ◽  
A. V. Denisenko ◽  
S. M. Dubna

Context. The important task was solved during the scientific research related to the development of the methods for automatic synthesis of Petri nets while tuning up of the coordinating automatic control systems. The importance of development of these methods is due to the evolution of intelligent systems. These systems provide the automation of labor intensive processes in the particular case this is the tuning of the certain type of complex control systems. Objective. The purpose of the scientific work is to minimize the time and automation of process in tuning of the multilevel coordinating automatic control systems. Method. The principle of automatic synthesis of Petri nets and the implementation of certain algorithms for tuning complex control systems based on the functioning of an artificial neural network are proposed. The mathematical description of the method for changing the coefficients in neural connections of network in the synthesis of Petri nets is presented. Results. The experiments were conducted in the Matlab\Simulink 2012a environment. These experiments were bound to the joint functioning of an artificial neural network and Petri nets. The functioning of Petri nets was presented in the Matlab \ Simulink environment using Statflow diagrams. As a result of the experiments we have obtained the temporal characteristics of the functioning of artificial neural network providing the composition of Petri nets. The fundamental suitability of using artificial neural network to provide the automatic composition of Petri nets was determined on the basis of analysis of temporal characteristics. Conclusion. The problem linked to the development of system for the joint functioning of neural network and Petri nets for the formation of algorithms and sequential calculations was solved in this work. Thus the method of automatic synthesis of Petri nets and the method of developing of the certain algorithms based on the functioning of a neural network were further developed.


Author(s):  
V. V. Sheval ◽  
A. I. Kimyaev

Two variants of two-channel structures of tracking systems has been introduced into consideration, which are sequentially used in two modes of operation of the on-board automatic tracking system. Taking into account the fact of quantization according to the level of signals for measuring the angles of mismatch of each of the channels, it is justified to use not one, but two different structures in the second auto-tracking mode. Using mathematical modeling, the expediency of increasing the number of two-channel structures from two to three, used in a single auto-tracking process according to the criterion of the provided dynamic accuracy, have been demonstrated. This paper presents a two-channel structures investigation for tracking systems operating in tracking mode of maneuverable targets, taking into account various systems of carrier operations. Considered multichannel complex control system (CCS) structure that include precise channel (PC) and coarse channel (CC). CC use the carrier and the flight control system (FCS) to make rude tracking. The PC function implemented by an optoelectronic device (OED) has placed in a traditional angular mechanical suspension, which act with high accuracy. Described three CCS operation modes classified by target mark fall inside or outside direction finder (DF) CC or PC field of view. At the capture mode can be used only information from the CC DF. At the complex control mode becomes possible to use information from both CC DF and PC DF. At the precision mode, it is advisable to use information only from the PC DF. Developed CCS functioning math model to check main points of this work. Math model makes possible to carry out simulation tests for each mode in a separate operation, as well as when they are integrated into a single complex automatic target tracking mode. Has been described efficiency factor as the total time of satisfactory accuracy relative to entire experiment time. On math model modes efficiency has compared to each other. As result precision mode have higher efficiency and capture mode lowest. As conclusion recommended use a precision mode to achieve higher accuracy at auto tracking tasks.


2021 ◽  
Vol 35 (4) ◽  
Author(s):  
Nicholas Kettridge ◽  
Maxwell C. Lukenbach ◽  
Kelly J. Hokanson ◽  
Kevin J. Devito ◽  
Richard M. Petrone ◽  
...  
Keyword(s):  

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Gaowang Zhang ◽  
Xueqin Chen ◽  
Ruichen Xi ◽  
Huayi Li

This study addresses the challenge of attitude tracking control for a rigid-flexible spacecraft with high-inertia rotating appendages. The Lagrange method was used to establish the kinematic and dynamic models of the spacecraft. The translation and rotation of the spacecraft, vibrations of solar panels, and imbalance caused by the rotating appendages, which cause a complex control problem, were considered. To address the complex control problem, a novel, fast nonsingular integral sliding mode control method is proposed to perform the attitude tracking function of spacecraft. A sliding mode control law was established for the high-inertia appendages to maintain an appropriate angular velocity during rotation. Finally, the effectiveness of the proposed attitude control law was verified by numerical simulations for a spacecraft with high-inertia rotating appendages and symmetrical flexible solar panels.


2021 ◽  
Author(s):  
Manasi S. Apte ◽  
Hirohisa Masuda ◽  
David Lee Wheeler ◽  
Julia Promisel Cooper

AbstractThe discovery of HAATIrDNA, a mode of telomerase-negative survival in which canonical telomeres are replaced with ribosomal DNA (rDNA) repeats that acquire chromosome end-protection capability, raised crucial questions as to how rDNA tracts ‘jump’ to eroding, nonhomologous chromosome ends. Here we show that HAATIrDNA formation is initiated and limited by a single translocation that juxtaposes rDNA from Chromosome (Chr) III onto subtelomeric elements (STE) on Chr I or II; this rare reaction requires the RNAi pathway and the Ino80 nucleosome remodeling complex (Ino80C), thus defining an unforeseen relationship between these two machineries. The unique STE-rDNA junction created by this initial translocation is efficiently copied to the remaining STE chromosome ends, without the need for RNAi or Ino80C, forming HAATIrDNA. Intriguingly, both the RNAi and Ino80C machineries contain a component that plays dual roles in HAATI subtype choice. Dcr1 of the RNAi pathway and Iec1 of the Ino80C both promote HAATIrDNA formation as part of their respective canonical machineries, but both also inhibit formation of the exceedingly rare HAATISTE (in which STE sequences mobilize throughout the genome and assume chromosome end protection capacity) in non-canonical, pathway-independent manners. This work provides a glimpse into a previously unrecognized crosstalk between RNAi and Ino80C in controlling unusual translocation reactions that establish telomere-free linear chromosome ends.


Author(s):  
Jaehun Lee ◽  
Sharon Kim ◽  
Kyungmin Bae ◽  
Peter Csaba Ölveczky

AbstractWe present the $$\textsc {Hybrid}\textsc {Synch}\textsc {AADL}$$ H Y B R I D S Y N C H AADL modeling language and formal analysis tool for virtually synchronous cyber-physical systems with complex control programs, continuous behaviors, bounded clock skews, network delays, and execution times. We leverage the Hybrid PALS equivalence, so that it is sufficient to model and verify the simpler underlying synchronous designs. We define the $$\textsc {Hybrid}\textsc {Synch}\textsc {AADL}$$ H Y B R I D S Y N C H AADL language as a sublanguage of the avionics modeling standard AADL for modeling such designs in AADL, and demonstrate the effectiveness of $$\textsc {Hybrid}\textsc {Synch}\textsc {AADL}$$ H Y B R I D S Y N C H AADL on a number of applications.


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