Proportional Integral Observer Design for a Class of Uncertain Nonlinear Systems
- Resource Type
- Conference
- Authors
- Gao, Nan; Luo, Jinbiao; Tang, Jianliang; Geng, Limin; Huang, Feichuang; Huang, Hao
- Source
- 2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Information Technology,Networking,Electronic and Automation Control Conference (ITNEC), 2023 IEEE 6th. 6:1205-1208 Feb, 2023
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Asymptotic stability
Sufficient conditions
Uncertainty
Simulation
Observers
Stability analysis
Linear matrix inequalities
PIO
Uncertain
Nonlinear
LMI
- Language
- ISSN
- 2693-3128
In this paper, we investigate the proportional integral observer (PIO) design for a class of uncertain nonlinear systems. The nonlinear system is assumed to satisfy the Lipschitz condition and the uncertainty is assumed to be norm-bounded. The conditions for the existence of the proposed PIO are obtained based on the well-known linear matrix inequalities (LMIs) technique. Using Lyapunov stability theory, the convergence of the state estimation error to zero and asymptotically stability of the error dynamics are proven. Simulation results are shown to illustrate the performance of the proposed PIO.