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First- and Second-Order Sliding Mode Control Design for Networked 2-D Systems Under Round-Robin Protocol
IEEE Transactions on Cybernetics
|January 25, 2024
Summary
This study introduces novel sliding mode control (SMC) strategies for uncertain 2-D systems, optimizing communication by allowing only one actuator access at a time. The developed methods ensure system stability and robustness against disturbances.
Area of Science:
- Control Systems Engineering
- Systems Theory
- Robotics
Background:
- Uncertain two-dimensional (2-D) systems described by Roesser models are susceptible to bounded disturbances.
- Limited communication bandwidth necessitates efficient control strategies, especially in networked actuator systems.
Purpose of the Study:
- To develop sliding mode control (SMC) schemes for uncertain 2-D systems with reduced communication usage.
- To design robust control strategies that accommodate periodic scheduling and zero-order hold (ZOH) effects.
- To enhance robustness against bounded disturbances using second-order SMC.
Main Methods:
- A novel 2-D common sliding function and token-dependent SMC schemes (first- and second-order) were developed.
- A 2-D round-robin protocol was designed to manage actuator access, coupled with zero-order holders (ZOHs).
- Token-dependent Lyapunov-like functions were used to establish system stability conditions.
Main Results:
- Sufficient conditions were derived to guarantee the ultimate boundedness of system states and the sliding function.
- Two optimization algorithms were formulated to determine optimal gain matrices for enhanced control performance.
- Comparative examples demonstrated the effectiveness of the proposed first- and second-order 2-D SMC schemes under round-robin scheduling.
Conclusions:
- The proposed token-dependent 2-D SMC schemes effectively manage communication constraints and ensure system stability.
- The second-order SMC scheme offers improved robustness against bounded disturbances.
- The developed methods provide a viable approach for controlling uncertain 2-D systems in resource-constrained environments.
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