Decentralized adaptive control of uncertain interconnected systems with triggering state signals
Backstepping is a powerful technique of control design for uncertain systems and has been well received. As it involves differentiating virtual control signals recursively, the involved signals must be differentiable. However, when the measured states are only transmitted based on event-triggered co...
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/163541 |
| _version_ | 1826123139867738112 |
|---|---|
| author | Zhang, Zhirong Wen, Changyun Zhao, Kai Song, Yongduan |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Zhang, Zhirong Wen, Changyun Zhao, Kai Song, Yongduan |
| author_sort | Zhang, Zhirong |
| collection | NTU |
| description | Backstepping is a powerful technique of control design for uncertain systems and has been well received. As it involves differentiating virtual control signals recursively, the involved signals must be differentiable. However, when the measured states are only transmitted based on event-triggered conditions, such requirement will not be met, making the recursive backstepping design procedure inapplicable. Thus it is still an open problem to study how an event-triggered scheme is employed to transmit state signals in decentralized control of uncertain interconnected systems with dynamic interactions. In this paper, we present a solution by constructing a new decentralized adaptive backstepping-based control algorithm capable of coping with discontinuity caused by state-triggering. With aid of appropriately chosen Lyapunov functions, all signals in the closed-loop system are ensured globally uniformly bounded. Simulation results are presented to demonstrate the effectiveness of the proposed methodology. |
| first_indexed | 2024-10-01T05:59:46Z |
| format | Journal Article |
| id | ntu-10356/163541 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:59:46Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1635412022-12-08T08:32:39Z Decentralized adaptive control of uncertain interconnected systems with triggering state signals Zhang, Zhirong Wen, Changyun Zhao, Kai Song, Yongduan School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Adaptive Control Backstepping Backstepping is a powerful technique of control design for uncertain systems and has been well received. As it involves differentiating virtual control signals recursively, the involved signals must be differentiable. However, when the measured states are only transmitted based on event-triggered conditions, such requirement will not be met, making the recursive backstepping design procedure inapplicable. Thus it is still an open problem to study how an event-triggered scheme is employed to transmit state signals in decentralized control of uncertain interconnected systems with dynamic interactions. In this paper, we present a solution by constructing a new decentralized adaptive backstepping-based control algorithm capable of coping with discontinuity caused by state-triggering. With aid of appropriately chosen Lyapunov functions, all signals in the closed-loop system are ensured globally uniformly bounded. Simulation results are presented to demonstrate the effectiveness of the proposed methodology. This work was supported in part by the National Key Research and Development Program of China under Grant 2021ZD0201300 and in part by National Natural Science Foundation of China under Grant 61860206008, 61933012, 61833013. 2022-12-08T08:32:39Z 2022-12-08T08:32:39Z 2022 Journal Article Zhang, Z., Wen, C., Zhao, K. & Song, Y. (2022). Decentralized adaptive control of uncertain interconnected systems with triggering state signals. Automatica, 141, 110283-. https://dx.doi.org/10.1016/j.automatica.2022.110283 0005-1098 https://hdl.handle.net/10356/163541 10.1016/j.automatica.2022.110283 2-s2.0-85128196273 141 110283 en Automatica © 2022 Elsevier Ltd. All rights reserved. |
| spellingShingle | Engineering::Electrical and electronic engineering Adaptive Control Backstepping Zhang, Zhirong Wen, Changyun Zhao, Kai Song, Yongduan Decentralized adaptive control of uncertain interconnected systems with triggering state signals |
| title | Decentralized adaptive control of uncertain interconnected systems with triggering state signals |
| title_full | Decentralized adaptive control of uncertain interconnected systems with triggering state signals |
| title_fullStr | Decentralized adaptive control of uncertain interconnected systems with triggering state signals |
| title_full_unstemmed | Decentralized adaptive control of uncertain interconnected systems with triggering state signals |
| title_short | Decentralized adaptive control of uncertain interconnected systems with triggering state signals |
| title_sort | decentralized adaptive control of uncertain interconnected systems with triggering state signals |
| topic | Engineering::Electrical and electronic engineering Adaptive Control Backstepping |
| url | https://hdl.handle.net/10356/163541 |
| work_keys_str_mv | AT zhangzhirong decentralizedadaptivecontrolofuncertaininterconnectedsystemswithtriggeringstatesignals AT wenchangyun decentralizedadaptivecontrolofuncertaininterconnectedsystemswithtriggeringstatesignals AT zhaokai decentralizedadaptivecontrolofuncertaininterconnectedsystemswithtriggeringstatesignals AT songyongduan decentralizedadaptivecontrolofuncertaininterconnectedsystemswithtriggeringstatesignals |