Iterative Learning Reliable Control Strategy for a Class of SISO Systems with Time-Delay and Actuator Faults
- Resource Type
- Conference
- Authors
- Liu, Heng; Wang, Yanjie; Zhang, Ruikun
- Source
- 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS) Data Driven Control and Learning Systems Conference (DDCLS), 2020 IEEE 9th. :1152-1157 Nov, 2020
- Subject
- Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Actuators
Delays
Iterative learning control
Convergence
Control systems
Nonlinear systems
Uncertainty
Iterative Learning Control
Time-varying state delays
Actuator faults
Single-Input Single-Output System
- Language
This manuscript presents an iterative learning control strategy for a class of single-input single-output (SISO) nonlinearly parameterized systems with unknown time-varying state delays and actuator faults. Based on some basic assumptions and the property of the state delays and actuator faults of the SISO nonlinear system, we design the P-type iterative learning reliable controller to deal with the nonlinearity caused by the time-delays term and actuator faults. And then, a composite energy function(CEF) is used to show the convergence property of the state tracking error. Finally, a numerical simulation is used to verify the correctness and effectiveness of control scheme.