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H∞ static output feedback control for nonlinear networked control systems with time delays and packet dropouts
1Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei Province, PR China. haveshun@sina.com
This study introduces a new control law for nonlinear networked control systems, addressing network delays and packet loss. The method ensures system stability and performance despite imperfect measurements and varying network conditions.
Area of Science:
- Control Theory
- Networked Control Systems
- Nonlinear Systems
Background:
- Networked control systems (NCS) face challenges like data loss and delays due to network imperfections.
- Imperfect measurements in NCS can degrade system performance and stability.
- Existing control strategies often struggle to simultaneously address multiple network-induced uncertainties.
Purpose of the Study:
- To develop a robust H∞ static output feedback control strategy for nonlinear NCS.
- To design a novel control law that accounts for network-induced delay, packet dropout, and compensation.
- To ensure stability and performance guarantees under Markovian network variations.
Main Methods:
- A novel control law model incorporating network-induced delay, packet dropout, and compensation was proposed.
- A network-status-dependent Lyapunov functional was constructed to analyze system stability.
- Nonconvex matrix inequalities and the cone complementarity linearization (CCL) procedure were used to derive controller existence conditions and design the controller.
Main Results:
- A sufficient condition for the existence of the H∞ static output feedback controller was established.
- The proposed controller effectively handles network-induced delay and random packet dropout.
- The controller design was solved using the cone complementarity linearization (CCL) procedure for nonconvex problems.
Conclusions:
- The developed H∞ static output feedback control method is effective for nonlinear NCS with imperfect measurements.
- The proposed approach provides a robust solution for systems operating under dynamic network conditions.
- Illustrative examples demonstrate the practical applicability and effectiveness of the control strategy.
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