Event-Based Integral Sliding-Mode Consensus Control for Networked Multiagent Systems With State Quantization

Area of Science:

• Control Engineering
• Networked Systems
• Multiagent Systems

Background:

• Networked multiagent systems (MASs) face challenges with limited bandwidth and interferences.
• Traditional control methods can be communication-intensive, straining network resources.
• Integral sliding-mode control (SMC) is effective for disturbance rejection but requires efficient implementation in networked settings.

Purpose of the Study:

• To design a quantization-based event-triggered integral sliding-mode controller for MASs.
• To address interferences and limited network bandwidth in MASs.
• To ensure asymptotic average consensus in networked MASs.

Main Methods:

• Design of an integral sliding manifold (ISM) to handle disturbances.
• Development of an event-triggered mechanism (ETM) with an exponential decay rate for resource conservation.
• Integration of a uniform quantizer to reduce data transmission load.
• Construction of a quantized ISM using triggered state signals.
• Development of an event-triggered integral sliding-mode controller incorporating quantization technology.

Main Results:

• The proposed controller ensures asymptotic average consensus for networked MASs.
• The event-triggered mechanism (ETM) demonstrates viability by ensuring a lower positive bound for network agents, preventing Zeno behavior.
• Simulation examples confirm the effectiveness of the quantization feedback-based event-triggered SMC methodology.

Conclusions:

• The developed controller effectively manages limited network bandwidth in MASs through quantization and event-triggering.
• The approach guarantees system stability and achieves average consensus.
• The methodology is validated for its efficacy in practical networked control scenarios.