Extended dissipative truncated predictive control strategy for conic-type delayed networked control systems affected...

Area of Science:

• Control Systems Engineering
• Networked Control Systems
• Nonlinear Systems Theory

Background:

• Networked control systems (NCSs) face challenges like time delays, sensor distortion, and cyber-attacks.
• Ensuring stability and performance in nonlinear NCSs under these conditions is complex.
• Extended Dissipativity Performance (EDP) is a key metric for system robustness.

Purpose of the Study:

• To develop a robust truncated predictive control (TPC) strategy for delayed conic-type nonlinear NCSs (CNNCSs).
• To address sensor distortion modeled as a Markov Jump System (MJS) and cyber-attacks modeled using Bernoulli distribution.
• To guarantee global stability and desired performance levels under adverse conditions.

Main Methods:

• Lyapunov Stability Theory (LST) and Linear Matrix Inequalities (LMIs) are employed.
• A suitable Lyapunov-Krasovskii functional (LKF) is constructed.
• Conditions for stability are formulated within an LMI framework.

Main Results:

• Sufficient conditions for global stability of CNNCSs are established.
• The TPC strategy effectively manages nonlinearities, time delays, and network imperfections.
• The proposed method ensures desired performance levels are maintained.

Conclusions:

• The developed TPC strategy provides a robust solution for CNNCSs facing delays, distortion, and cyber-attacks.
• The LMI-based approach offers a systematic way to ensure system stability and performance.
• Numerical examples validate the effectiveness of the proposed control method.