The Experts below are selected from a list of 200979 Experts worldwide ranked by ideXlab platform
Boris Andrievsky - One of the best experts on this subject based on the ideXlab platform.
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control of two satellites relative motion over the packet erasure Communication Channel with limited transmission rate based on adaptive coder
Electronics, 2020Co-Authors: Boris Andrievsky, Alexander L. Fradkov, E V KudryashovaAbstract:The paper deals with the navigation data exchange between two satellites moving in a swarm. It is focused on the reduction of the inter-satellite demanded Communication Channel capacity taking into account the dynamics of the satellites relative motion and possible erasures in the Channel navigation data. The feedback control law is designed ensuring the regulation of the relative satellites motion. The adaptive binary coding/decoding procedure for the satellites navigation data transmission over the limited capacity Communication Channel is proposed and studied for the cases of ideal and erasure Channels. Results of the numerical study of the closed-loop system performance and accuracy of the data transmission algorithm on the Communication Channel bitrate and erasure probability are obtained by extensive simulations. It is shown that both data transmission error and regulation time depend approximately inversely proportionally on the Communication rate. In addition the erasure of data in the Channel with probability up to 0.3 does not influence the regulation time for sufficiently high data transmission rate.
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ICUMT - Adaptive coding for maneuvering UAV tracking over the digital Communication Channel
2014 6th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2014Co-Authors: Boris Andrievsky, Alexander L. FradkovAbstract:The data transmission techniques minimizing information flow for tracking the moving object over a digital Communication Channel by the example of tracking the maneuvering UAV is presented. The simulation results demonstrate efficacy of the adaptive coding procedure.
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State estimation of passifiable lurie systems via limited-capacity Communication Channel
2009 35th Annual Conference of IEEE Industrial Electronics, 2009Co-Authors: Alexander L. Fradkov, Boris AndrievskyAbstract:State estimation problems for a class of nonlinear oscillatory systems under information constraints imposed by limited capacity of the Communication Channel are analyzed. A binary time-varying coder-decoder scheme is described and a theoretical analysis for state estimation for nonlinear plants represented in Lurie form (linear part plus nonlinearity depending only on measurable outputs) based on the Passification Theorem is provided. It is shown that the estimation error exponentially tends to zero for sufficiently high transmission rate (Channel capacity). The results are illustrated by example of state estimation of chaotic Chua system via a Communication Channel with limited capacity.
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Synchronization of Passifiable Lurie Systems Via Limited-Capacity Communication Channel
IEEE Transactions on Circuits and Systems I: Regular Papers, 2009Co-Authors: Alexander L. Fradkov, Boris Andrievsky, Robin J. EvansAbstract:Output-feedback controlled synchronization problems for a class of nonlinear unstable systems under information constraints imposed by limited capacity of the Communication Channel are analyzed. A binary time-varying coder-decoder scheme is described, and a theoretical analysis for multidimensional master-slave systems represented in Lurie form (linear part plus nonlinearity depending only on measurable outputs) is provided. An output-feedback control law is proposed based on the passification theorem. It is shown that the synchronization error exponentially tends to zero for sufficiently high transmission rate (Channel capacity). The results obtained for the synchronization problem can be extended to tracking problems in a straightforward manner if the reference signal is described by an external (exogenous) state space model. The results are illustrated by the controlled synchronization of two chaotic Chua systems via a Communication Channel with limited capacity.
Andrey V. Savkin - One of the best experts on this subject based on the ideXlab platform.
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robust stabilization of linear uncertain discrete time systems via a limited capacity Communication Channel
Systems & Control Letters, 2004Co-Authors: Vu Ngoc Phat, Andrey V. Savkin, Jianming Jiang, Ian R PetersenAbstract:Abstract The paper considers the problem of robust stabilization of linear uncertain discrete-time systems via limited capacity Communication Channels. We consider the case when the control input is to be transmitted via Communication Channel with a bit-rate constraint. A constructive method to design a robustly stabilizing controller is proposed.
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the problem of lqg optimal control via a limited capacity Communication Channel
Systems & Control Letters, 2004Co-Authors: Alexey S Matveev, Andrey V. SavkinAbstract:The paper addresses a LQG optimal control problem involving bit-rate Communication capacity constraints. A discrete-time partially observed system perturbed by white noises is studied. Unlike the classic LQG control theory, the control signal must be first encoded, then transmitted to the actuators over a digital Communication Channel with a given bandwidth, and finally decoded. Both the control law and the algorithms of encoding and decoding should be designed to archive the best performance. The optimal control strategy is obtained. It is shown that where the estimator-coder separation principle holds, the controller-coder one fails to be true.
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set valued state estimation via a limited capacity Communication Channel
Conference on Decision and Control, 2002Co-Authors: Andrey V. Savkin, Ian R PetersenAbstract:This paper considers a state estimation problem for a linear continuous-time system via a limited capacity Communication Channel. The observation must be coded and transmitted via a limited capacity digital Communication Channel. A recursive coder-decoder state estimation scheme is proposed and investigated.
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THE PROBLEM OF H∞ STATE ESTIMATION VIA LIMITED CAPACITY Communication ChannelS
IFAC Proceedings Volumes, 2002Co-Authors: Andrey V. SavkinAbstract:Abstract The paper presents a new approach to the problem of state estimation via limited capacity Communication Channels. We consider the case when the state estimates are required at a distant location, and are to be transmitted via a limited capacity Communication Channel. A constructive method to design a linear state estimator with a limited capacity Communication Channel is proposed.
Alexander L. Fradkov - One of the best experts on this subject based on the ideXlab platform.
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control of two satellites relative motion over the packet erasure Communication Channel with limited transmission rate based on adaptive coder
Electronics, 2020Co-Authors: Boris Andrievsky, Alexander L. Fradkov, E V KudryashovaAbstract:The paper deals with the navigation data exchange between two satellites moving in a swarm. It is focused on the reduction of the inter-satellite demanded Communication Channel capacity taking into account the dynamics of the satellites relative motion and possible erasures in the Channel navigation data. The feedback control law is designed ensuring the regulation of the relative satellites motion. The adaptive binary coding/decoding procedure for the satellites navigation data transmission over the limited capacity Communication Channel is proposed and studied for the cases of ideal and erasure Channels. Results of the numerical study of the closed-loop system performance and accuracy of the data transmission algorithm on the Communication Channel bitrate and erasure probability are obtained by extensive simulations. It is shown that both data transmission error and regulation time depend approximately inversely proportionally on the Communication rate. In addition the erasure of data in the Channel with probability up to 0.3 does not influence the regulation time for sufficiently high data transmission rate.
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ICUMT - Adaptive coding for maneuvering UAV tracking over the digital Communication Channel
2014 6th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2014Co-Authors: Boris Andrievsky, Alexander L. FradkovAbstract:The data transmission techniques minimizing information flow for tracking the moving object over a digital Communication Channel by the example of tracking the maneuvering UAV is presented. The simulation results demonstrate efficacy of the adaptive coding procedure.
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State estimation of passifiable lurie systems via limited-capacity Communication Channel
2009 35th Annual Conference of IEEE Industrial Electronics, 2009Co-Authors: Alexander L. Fradkov, Boris AndrievskyAbstract:State estimation problems for a class of nonlinear oscillatory systems under information constraints imposed by limited capacity of the Communication Channel are analyzed. A binary time-varying coder-decoder scheme is described and a theoretical analysis for state estimation for nonlinear plants represented in Lurie form (linear part plus nonlinearity depending only on measurable outputs) based on the Passification Theorem is provided. It is shown that the estimation error exponentially tends to zero for sufficiently high transmission rate (Channel capacity). The results are illustrated by example of state estimation of chaotic Chua system via a Communication Channel with limited capacity.
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Synchronization of Passifiable Lurie Systems Via Limited-Capacity Communication Channel
IEEE Transactions on Circuits and Systems I: Regular Papers, 2009Co-Authors: Alexander L. Fradkov, Boris Andrievsky, Robin J. EvansAbstract:Output-feedback controlled synchronization problems for a class of nonlinear unstable systems under information constraints imposed by limited capacity of the Communication Channel are analyzed. A binary time-varying coder-decoder scheme is described, and a theoretical analysis for multidimensional master-slave systems represented in Lurie form (linear part plus nonlinearity depending only on measurable outputs) is provided. An output-feedback control law is proposed based on the passification theorem. It is shown that the synchronization error exponentially tends to zero for sufficiently high transmission rate (Channel capacity). The results obtained for the synchronization problem can be extended to tracking problems in a straightforward manner if the reference signal is described by an external (exogenous) state space model. The results are illustrated by the controlled synchronization of two chaotic Chua systems via a Communication Channel with limited capacity.
Ian R Petersen - One of the best experts on this subject based on the ideXlab platform.
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robust stabilization of linear uncertain discrete time systems via a limited capacity Communication Channel
Systems & Control Letters, 2004Co-Authors: Vu Ngoc Phat, Andrey V. Savkin, Jianming Jiang, Ian R PetersenAbstract:Abstract The paper considers the problem of robust stabilization of linear uncertain discrete-time systems via limited capacity Communication Channels. We consider the case when the control input is to be transmitted via Communication Channel with a bit-rate constraint. A constructive method to design a robustly stabilizing controller is proposed.
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set valued state estimation via a limited capacity Communication Channel
Conference on Decision and Control, 2002Co-Authors: Andrey V. Savkin, Ian R PetersenAbstract:This paper considers a state estimation problem for a linear continuous-time system via a limited capacity Communication Channel. The observation must be coded and transmitted via a limited capacity digital Communication Channel. A recursive coder-decoder state estimation scheme is proposed and investigated.
S. N. Molotkov - One of the best experts on this subject based on the ideXlab platform.
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On the resistance of the quantum key distribution with phase-time encoding for long Communication Channels
JETP Letters, 2008Co-Authors: S. N. MolotkovAbstract:The cryptographic resistance of a quantum key distribution protocol with phase-time encoding has been analyzed for the case of a nonstrictly single-photon source and a Communication Channel with losses. It has been shown that eavesdropper’s information on the key for a long Communication Channel is determined only by the von Neumann entropy of the source at the receiver side and the critical length of the Communication Channel is determined primarily by dark counts of photodetectors.
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Simple estimate of the critical length of a quantum Communication Channel with attenuation for coherent-state quantum cryptography
Journal of Experimental and Theoretical Physics Letters, 2004Co-Authors: A. P. Makkaveev, D. I. Pomozov, S. N. MolotkovAbstract:For the B92 protocol with allowance for real attenuation and phase interruption of signal states in a one-dimensional optical fiber, a simple estimate is obtained for the critical length of the quantum Communication Channel that can provide secure key distribution.
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Real-time coding in a parallel quantum Communication Channel
Journal of Experimental and Theoretical Physics Letters, 2003Co-Authors: S. N. MolotkovAbstract:Coding theorems formulated as exchange protocols in the space of states of quantum systems do not answer one of the basic questions of real-time information transmission rate. Expressions obtained for the transmission capacity of a binary quantum Communication Channel describe the real-time information transmission rate.
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Transmission capability of a sequential relativistic quantum Communication Channel with limited observation time
Journal of Experimental and Theoretical Physics Letters, 2002Co-Authors: S. N. MolotkovAbstract:It is shown that the identity of particles must inevitably be taken into account, because states in quantum field theory are nonlocalizable. This circumstance, together with finite limiting velocity, is responsible for the asymptotic character of formulas for the transmission capability of nonrelativistic Communication Channels (they are formally valid only for infinite time delay between messages, when the identity of particles is negligible, and, correspondingly, for infinitely slow transmission in time—bits per second per message). The transmission capability of a sequential relativistic quantum Communication Channel is obtained in real time with allowance for the identity of particles.
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Effect of Attenuation and Dispersion in the Communication Channel on the Secrecy of a Quantum Cryptosystem
arXiv: Quantum Physics, 1996Co-Authors: S. N. MolotkovAbstract:The effects of dispersion in the Communication Channel on the secrecy of a quantum cryptosystem based on single photon states with different frequencies are studied. A maximum Communication Channel length which can still ensure the secrecy of the key generation procedure is found.
