KMS Of Academy of mathematics and systems sciences, CAS
| A Novel Resilient Control Scheme for a Class of Markovian Jump Systems With Partially Unknown Information | |
| Zhang, Kun1; Su, Rong2; Zhang, Huaguang3,4 | |
| 2021-02-02 | |
| Source Publication | IEEE TRANSACTIONS ON CYBERNETICS
 |
| ISSN | 2168-2267 |
| Pages | 10 |
| Abstract | In the complex practical engineering systems, many interferences and attacking signals are inevitable in industrial applications. This article investigates the reinforcement learning (RL)-based resilient control algorithm for a class of Markovion jump systems with completely unknown transition probability information. Based on the Takagi-Sugeno logical structure, the resilient control problem of the nonlinear Markovion systems is converted into solving a set of local dynamic games, where the control policy and attacking signal are considered as two rival players. Combining the potential learning and forecasting abilities, the new integral RL (IRL) algorithm is designed via system data to compute the zero-sum games without using the information of stationary transition probability. Besides, the matrices of system dynamics can also be partially unknown, and the new architecture requires less transmission and computation during the learning process. The stochastic stability of the system dynamics under the developed overall resilient control is guaranteed based on the Lyapunov theory. Finally, the designed IRL-based resilient control is applied to a typical multimode robot arm system, and implementing results demonstrate the practicality and effectiveness. |
| Keyword | Games Process control Markov processes Game theory Actuators System dynamics Heuristic algorithms Adaptive dynamic programming integral reinforcement learning (IRL) resilient control zero-sum game |
| DOI | 10.1109/TCYB.2021.3050619 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Postdoctoral Program for Innovative Talents[BX20200357] ; China Postdoctoral Science Foundation[2020M680718] ; Singapore National Research Foundation Delta-NTU Corporate Lab Program[DELTA-NTU CORP-SMA-RP2] ; Singapore Ministry of Education Tier 1 Academic Research[2013-T1002-177] |
| WOS Research Area | Automation & Control Systems ; Computer Science |
| WOS Subject | Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
| WOS ID | WOS:000732386000001 |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/59722 |
| Collection | 中国科学院数学与系统科学研究院 |
| Corresponding Author | Zhang, Kun |
| Affiliation | 1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 2.Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore 3.Northeastern Univ, Key Lab Synthet Automat Proc Ind, Shenyang 110819, Peoples R China 4.Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110819, Peoples R China |
| Recommended Citation GB/T 7714 | Zhang, Kun,Su, Rong,Zhang, Huaguang. A Novel Resilient Control Scheme for a Class of Markovian Jump Systems With Partially Unknown Information[J]. IEEE TRANSACTIONS ON CYBERNETICS,2021:10. |
| APA | Zhang, Kun,Su, Rong,&Zhang, Huaguang.(2021).A Novel Resilient Control Scheme for a Class of Markovian Jump Systems With Partially Unknown Information.IEEE TRANSACTIONS ON CYBERNETICS,10. |
| MLA | Zhang, Kun,et al."A Novel Resilient Control Scheme for a Class of Markovian Jump Systems With Partially Unknown Information".IEEE TRANSACTIONS ON CYBERNETICS (2021):10. |
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