2023 |
Donggil Lee / Junsoo Kim / Hyungbo Shim Distributed Resilient Observer: Blended Dynamics Theory Meets ℓ1-Minimization Approach Journal Article In: IEEE Control Systems Letters, vol. 7, pp. 2083 - 2088, 2023, ISSN: 2475-1456. Abstract | Links | BibTeX | Tags: Blended dynamics, Blended Dynamics Approach, Distributed state estimation, Resilient state estimation @article{nokeyp, This paper presents a distributed resilient observer for continuous-time linear time-invariant plants that remains functional even under sensor attacks. The proposed method aims to determine the estimation outcome that matches the majority of sensor measurements, which is formulated as an ℓ1-minimization problem considering all the observable components of each sensor measurement. A distributed observer based on the blended dynamics theory is then proposed to solve the ℓ1-minimization problem in a distributed manner. As a result, the distributed resilient estimation is enabled for a broader class of systems compared to previous works. The design procedure is constructive with parameters obtained from a specified condition that is equivalent to the well-known null-space property. |
2020 |
Taekyoo Kim / Chanhwa Lee / Hyungbo Shim Completely Decentralized Design of Distributed Observer for Linear Systems Journal Article In: IEEE Transactions on Automatic Control, vol. 65, no. 11, pp. 4664-4678, 2020, ISSN: 1558-2523. Abstract | Links | BibTeX | Tags: Decentralized design, Distributed state estimation, Linear time-invariant system, Plug-and-play @article{Kim2020, This article presents a decentralized design of a distributed state observer for a continuous-time linear time-invariant plant. The plant is monitored by a group of agents and each agent‘s measurement of the plant’s state suffers from lack of detectability with the plant dynamics. Then the missing information (i.e., the undetectable portion) is compensated by a local communication with the neighboring agents. In particular, when the local observer for each agent is designed, no global information such as the structure of network and the number of agents is needed, and so, the decentralized design is achieved. Therefore, the plug-and-play operation is enabled; that is, during the operation, a new agent can design a local observer for itself without any global information and join the network, and any agent may leave the network without hampering the operation as long as the rest of the agents remain detectable. The main idea is to let each agent recover its own detectable part while the undetectable part is compensated by a projection of the neighbors‘ estimates into the receiver’s undetectable subspace. An adaptive algorithm for individual agent is designed in order to find suitable gains for compensating the undetectable portion. Simulation results confirm the effectiveness of the proposed design. |
2019 |
Junsoo Kim / Hyungbo Shim Encrypted State Estimation in Networked Control Systems Proceedings Article In: Proc. of 2019 IEEE 58th Conference on Decision and Control, pp. 7190-7195, IEEE, Nice, France, 2019. Abstract | Links | BibTeX | Tags: Controller encryption, Distributed state estimation @inproceedings{KimShim19b, In this paper, we propose a distributed state observer in which the data of measurements and state estimates are protected by homomorphic cryptosystem. The proposed observer network is composed of local observers, where each of them utilizes encrypted local measurement, encryption of plant input, and encrypted estimates transmitted from its neighbors. All the operations in the network are performed on encrypted data without decryption, and the full state is recovered in every local observer as an encrypted message. Assuming the characteristic polynomial and the minimal polynomial of the state matrix for the plant are the same, the parameters in the observers are chosen to be integers. This not only allows finitetime convergence for the state estimates, but also makes the encrypted dynamic observers operate for infinite time horizon. |
List of English Publication
2023 |
Distributed Resilient Observer: Blended Dynamics Theory Meets ℓ1-Minimization Approach Journal Article In: IEEE Control Systems Letters, vol. 7, pp. 2083 - 2088, 2023, ISSN: 2475-1456. |
2020 |
Completely Decentralized Design of Distributed Observer for Linear Systems Journal Article In: IEEE Transactions on Automatic Control, vol. 65, no. 11, pp. 4664-4678, 2020, ISSN: 1558-2523. |
2019 |
Encrypted State Estimation in Networked Control Systems Proceedings Article In: Proc. of 2019 IEEE 58th Conference on Decision and Control, pp. 7190-7195, IEEE, Nice, France, 2019. |