Composite Learning Prescribed Performance Control of Nonlinear Systems
This paper investigates a composite learning prescribed performance control (PPC) scheme for uncertain strict-feedback system. Firstly, a prescribed performance boundary (PPB) condition is developed for the tracking error, and the original system is transformed into an equivalent one by using a tran...
Saved in:
| Main Authors: | Fang Zhu, Wei Xiang, Chunzhi Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/9988328 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Finite Time Prescribed Performance Control for Uncertain Second-Order Nonlinear Systems
by: Hui Lv, et al.
Published: (2022-01-01) -
An Adaptive Prescribed Performance Position Tracking Controller for Hydraulic Systems
by: Junqiang Shi, et al.
Published: (2025-07-01) -
Practical prescribed-time fuzzy tracking control for uncertain nonlinear systems with time-varying actuators faults
by: Shuxing Xuan, et al.
Published: (2024-03-01) -
Adaptive Prescribed-Time Fault-Tolerant Control for a Class of Uncertain Nonlinear Systems With Time-Varying Sensor and Actuator Faults
by: Chuixi Wei, et al.
Published: (2025-01-01) -
Composite Learning Sliding Mode Control of Nonlinear Systems Subject to Actuator Failures
by: Xianmin Hou, et al.
Published: (2020-01-01)