Decentralized Output Feedback Adaptive NN Tracking Control for Time-Delay Stochastic Nonlinear Systems With...

Area of Science:

• Control Theory
• Systems Engineering
• Stochastic Systems

Background:

• Dynamic output feedback tracking control is crucial for complex systems.
• Stochastic interconnected time-delay systems present significant control challenges.
• Prescribed performance requirements are essential for practical applications.

Purpose of the Study:

• To address the dynamic output feedback tracking control problem for stochastic interconnected time-delay systems.
• To achieve prescribed performance for these complex systems.
• To develop a decentralized control strategy.

Main Methods:

• Design of a reduced-order observer, independent of time delay, for state estimation.
• Proposal of a new state transformation incorporating prescribed performance.
• Utilization of neural networks to approximate unknown nonlinear functions.
• Design of a decentralized output tracking controller.

Main Results:

• Strict proof of stability in probability (uniformly ultimately boundedness) for the closed-loop system.
• Demonstration of preservation of both transient-state and steady-state performances.
• Validation of the control design method through a simulation example.

Conclusions:

• The proposed method effectively solves the dynamic output feedback tracking control problem.
• The approach ensures system stability and preserves performance requirements.
• The simulation results confirm the efficacy of the developed control strategy.