JOURNAL ARTICLE

Tracking Control for Constrained Nonlinear Systems

Lin ZhuBai‐Fan YueWei‐Wei Che

Year: 2022 Journal:   2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)

Abstract

A new input-output constrained (IOC) model-free adaptive tracking control (IOC-MFATC) problem for nonlinear constrained systems against DoS attacks is studied in this paper. Firstly, considering malicious attacks in the network, an attack compensation mechanism is introduced to compensate for DoS attacks. And due to the restriction of practical physical conditions, the IOC strategy is put forward to guarantee the equipment security. Then, for the nonlinear system with unknown model, the new IOC-MFATC algorithm designed with the input and output data can guarantee the safe tracking control problem. Finally, the simulation results demonstrate the effectiveness of the presented algorithm.

Keywords:
Nonlinear system Computer science Compensation (psychology) Control theory (sociology) Tracking (education) Control (management) Artificial intelligence

Metrics

1
Cited By
0.41
FWCI (Field Weighted Citation Impact)
25
Refs
0.42
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Control Systems Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Iterative Learning Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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